From 5a51fc96115cd09e313b1563f8a4de070bf201d9 Mon Sep 17 00:00:00 2001 From: diberry <41597107+diberry@users.noreply.github.com> Date: Sun, 20 Sep 2026 09:26:22 -0700 Subject: [PATCH 1/4] Add blog post on agent-skill boundary evaluator --- ...0-how-to-build-an-agent-skill-evaluator.md | 231 ++++++++++++++++++ .../evaluator-flow.svg | 61 +++++ .../hero-decision.svg | 53 ++++ .../ownership-roles.svg | 47 ++++ 4 files changed, 392 insertions(+) create mode 100644 website/blog/2026-09-20-how-to-build-an-agent-skill-evaluator.md create mode 100644 website/blog/media/2026-09-20-agent-skill-boundary-evaluator/evaluator-flow.svg create mode 100644 website/blog/media/2026-09-20-agent-skill-boundary-evaluator/hero-decision.svg create mode 100644 website/blog/media/2026-09-20-agent-skill-boundary-evaluator/ownership-roles.svg diff --git a/website/blog/2026-09-20-how-to-build-an-agent-skill-evaluator.md b/website/blog/2026-09-20-how-to-build-an-agent-skill-evaluator.md new file mode 100644 index 0000000..94e9f18 --- /dev/null +++ b/website/blog/2026-09-20-how-to-build-an-agent-skill-evaluator.md @@ -0,0 +1,231 @@ +--- +slug: /2026-09-20-how-to-build-an-agent-skill-evaluator +date: 2026-09-20 +canonical_url: https://dfberry.github.io/blog/2026-09-20-how-to-build-an-agent-skill-evaluator +custom_edit_url: null +sidebar_label: "2026.09.20 Skill or agent?" +title: "How I Would Build an Evaluator for the Agent-Skill Boundary" +description: "A practical way to decide whether work belongs in a skill, an agent, or a skill used inside an agent by comparing the same task under different designs." +tags: + - ai + - agents + - skills + - copilot + - evaluation + - workflow design +keywords: + - skill vs agent + - agent skill boundary + - evaluator design + - copilot customization + - agent workflow design + - skill architecture +image: ./media/2026-09-20-agent-skill-boundary-evaluator/hero-decision.svg +--- + +# How I would build an evaluator for the agent-skill boundary + +When I see a task handed to an AI system, I keep asking the same question: is this a skill, an agent, or a skill being used inside an agent? + +That sounds simple, but it matters a lot. The answer changes who owns the process, what the system is allowed to decide on its own, how reusable the work is, and what kind of failure you're willing to tolerate. + +A skill is usually the reusable playbook: a clear procedure, good examples, and a well-defined outcome. An agent is the specialist working through a task with its own boundaries, tools, and decision-making. A combined design uses both: the agent owns the goals and coordination, while the skill supplies the detailed procedure. + +The real problem is that this is easy to describe in theory and hard to judge in practice. So if I wanted to build an evaluator for this boundary, I would make it compare the same task through several candidate designs and then score them using the same evidence. + +![Diagram showing one task evaluated under a skill-only design, an agent-only design, and a skill-plus-agent design](./media/2026-09-20-agent-skill-boundary-evaluator/hero-decision.svg) + +*The evaluator treats the same task as the same input problem, then measures which design yields the best fit without just guessing from the naming alone.* + +## Why a boundary evaluator helps + +The confusion usually starts because people use the words "agent" and "skill" interchangeably. That creates a few predictable mistakes. + +- A skill becomes a giant catch-all prompt because the author wants to avoid making a real architectural decision. +- An agent gets used for work that is really a reusable procedure and should be a skill. +- A task is over-engineered by combining everything into a custom agent when a smaller reusable skill would be easier to test and maintain. +- The team ends up with a mix of helpful behavior and hard-to-explain custom logic that no one can confidently support. + +An evaluator helps because it forces the decision to be evidence-based. Instead of arguing semantics, it compares the task across candidate designs and asks: which one has the best mix of correctness, maintainability, reusability, and safety? + +## The evaluation model I would use + +I would design it around one core idea: run the same task under a few candidate architectures and compare the results with the same standards. + +The candidate set should not be broad or magical. It should be small and explicit: + +- **Skill-only**: a reusable playbook that executes the workflow. +- **Agent-only**: an autonomous specialist that handles the task directly. +- **Agent + skill**: the agent coordinates and selects the skill for the mechanical or reusable steps. + +This gives me three real design options, not just an opinionated label. + +I would also separate two different concerns: + +1. **Ownership of the work** — skill, agent, or combined design. +2. **Execution topology** — local execution, MCP-backed execution, or some external connector. + +Those are different axes. A task can be owned by a skill and still run locally, or be coordinated by an agent while the actual data access happens through an MCP tool. The topology does not decide whether work belongs in a skill or an agent. + +## What the evaluator should measure + +Any serious evaluator needs to capture more than "the model liked the output." It needs structured evidence. + +I would score the candidate designs on a few dimensions: + +- **Correctness**: Did it perform the task accurately and safely? +- **Reusability**: Can the workflow be used again without rewriting the instructions? +- **Clarity of ownership**: Is the role boundary clear enough for a human to maintain? +- **Operational burden**: Is the process too fragile to repeat? +- **Safety and guardrails**: Does it avoid the wrong tool, wrong scope, or wrong automation boundary? +- **Explainability**: Can the owner understand why this design was chosen? + +The output should say something like: "This task is better as a skill because the process is repeatable and reusable; this task is better as an agent because it needs context, judgment, and tool switching; this task is best as an agent plus skill because the agent owns goals but the skill owns the repeatable method." + +That is far more useful than a vague verdict like "use a skill" or "use an agent." The point is to explain the tradeoff, not hide it. + +## The evaluator architecture + +I would keep the evaluator intentionally simple and grounded. + +![Diagram showing the evaluator flow: input, normalize, generate candidate designs, run comparison, score against evidence, and produce a recommendation with citations](./media/2026-09-20-agent-skill-boundary-evaluator/evaluator-flow.svg) + +*This is the kind of pipeline I would want: intake the source, normalize it, generate the design options, score them, and attach evidence to the final recommendation.* + +### 1. Intake the source + +A task or capability can come from several places: + +- a repository-level agent definition +- a skill file such as `SKILL.md` +- a custom prompt or workflow doc +- a plugin package with a mix of agents and skills +- a task description from a human owner + +The evaluator should record the original source and whether it is a supplied file or a generated counterfactual. This matters because a real file and a synthetic generated version are not the same thing. + +### 2. Normalize the source + +The evaluator should parse only the parts that matter: the description, persona, workflow intent, tools, and any explicit operating constraints. I would avoid making up capabilities that are not stated. If the source is a skill, I would read the activation description and route it from there. If the source is an agent, I would read the persona and procedure boundaries. If there is no matching counterpart, the evaluator can generate a small counterfactual for comparison, but it should clearly label that produced content as generated and lower-confidence. + +### 3. Build the candidate designs + +Then I would create three realistic versions of the same capability: + +- **S**: skill-first design +- **A**: agent-first design +- **H**: hybrid design (agent + skill) + +The important part is that they are not arbitrary. They are grounded in the source task and the available tool or procedural context. The generated counterparts should be small, deterministic, and explicitly marked as synthetic. + +### 4. Score against outcome and operating constraints + +This is where the evaluator becomes useful. I would grade each design against a fixed rubric: + +- How well does it match the task's real need? +- Is the output reusable or highly specialized? +- Does the institution understand who owns the procedure? +- Can the design be safely repeated without hidden coupling? +- Does it create a fragile, over-privileged agent or a narrowly scoped reusable skill? + +This score should be transparent. The evaluator should not just say "the agent wins." It should explain why the hybrid design is better because the work is goal-driven, but repeated steps are stable enough to become a skill. + +## A practical rule of thumb + +I still want a few simple heuristics for human owners because the evaluator should not create more complexity than it solves. + +Use a **skill** when the work is: + +- reusable and repeatable +- procedure-driven +- easy to validate with a known output +- best run by a known sequence of steps + +Use an **agent** when the work is: + +- highly contextual +- decision-heavy +- sensitive to shifting goals or partial information +- dependent on tool selection and stateful iteration + +Use an **agent plus skill** when the work is: + +- goal-driven in the agent +- procedural in the skill +- reusable enough to deserve a playbook but context-rich enough to require a coordinator + +This is the design pattern I come back to most often. + +## The local-vs-MCP distinction + +One subtle but important point is that the execution location is not the same as the ownership model. + +A skill can run locally. An agent can also run locally. An MCP-backed tool can still be called by either one. The question is not "where is it running?" The question is "what is the durable responsibility boundary?" + +This separation matters because a lot of bad design comes from collapsing separate concerns into a single abstraction. A local workflow is not automatically better or worse than an MCP-backed one. It is simply a different runtime topology. + +![Diagram showing that skill owns a reusable playbook, agent owns goals and coordination, and MCP or connector owns external access](./media/2026-09-20-agent-skill-boundary-evaluator/ownership-roles.svg) + +*The responsibility boundary is different from the execution topology. The decision about role ownership should remain stable even when the runtime changes.* + +The evaluator should therefore treat runtime topology as a separate axis from role ownership. The recommendation should state something like: "This workflow belongs in a skill, regardless of whether it is executed locally or behind an MCP layer; the connector is a runtime detail, not the architectural owner." + +## What makes this trustworthy + +The evaluator should be explicit about what is evidence and what is guesswork. + +A trustworthy system should: + +- record the source file and version +- keep the original source immutable +- label generated counterfactuals as generated +- avoid inventing missing capabilities +- compare only equivalent tasks +- use deterministic scoring for structural checks +- reserve model-based grading for softer judgments like clarity or maintainability + +This prevents the evaluator from becoming a style guessing machine that only mirrors whatever the model thought sounded best. + +## The output I would want + +The final report should not be a vague verdict. It should identify: + +- the recommended design +- the evidence that supported it +- the alternative designs that were considered +- the exact tradeoff and the owner guidance +- the confidence level and any limits of the evidence + +A final output should read like a design recommendation, not a slogan. + +If the recommendation says "better as a skill,” it should tell the owner why the process is stable, reusable, and testable. If it says "agent + skill,” it should explain that the agent owns the goal and the skill owns the procedure. If it says "agent-only,” it should explain why the problem needs judgment, state, or improvisation that a skill would hide. + +## The practical value + +This does not create a universal rule for every AI workflow. It creates a repeatable decision-making process. + +That is the real win. It turns a fuzzy design argument into a reusable evaluation loop. + +Instead of someone asking, "Should this be a skill or an agent?" and getting a hand-wavy answer, the owner gets a grounded recommendation with evidence attached. That changes the conversation from tribal preference to architecture. + +And once you can evaluate the boundary consistently, you can start improving the boundary itself. The result is better routing, less accidental complexity, and stronger habits for building AI systems that are maintainable rather than just impressive. + +## My practical checklist + +Before I decide on a design, I ask these questions: + +1. Is the task essentially a reusable procedure or a specialist role? +2. Do we need one clear sequence of steps or a flow that keeps changing based on context? +3. Is this something that should be reusable by other workflows or only used in one context? +4. Does the owner need a strong boundary, or is this a flexible orchestrator problem? +5. Will the result be easier to maintain if the procedure is separated from the coordinator? + +If I can answer those clearly, the architecture decision becomes much easier. + +When the answer is still messy, I do not force a binary decision. I treat it as a hybrid design until the evidence proves otherwise. + +--- + +One thing I have learned is that good AI design is rarely about choosing one magical abstraction. It is about making the ownership boundaries visible and honest enough that a human can maintain them. + +That is why I would build the evaluator this way: not to replace judgment, but to make the judgment easier to explain, reuse, and improve. diff --git a/website/blog/media/2026-09-20-agent-skill-boundary-evaluator/evaluator-flow.svg b/website/blog/media/2026-09-20-agent-skill-boundary-evaluator/evaluator-flow.svg new file mode 100644 index 0000000..5e52888 --- /dev/null +++ b/website/blog/media/2026-09-20-agent-skill-boundary-evaluator/evaluator-flow.svg @@ -0,0 +1,61 @@ + + Evaluator flow for agent-skill design decisions + A flowchart showing source intake, normalization, candidate generation, comparison, scoring, and recommendation output. + + + + + + + + How the evaluator works + + + Source + agent, skill, + or task description + + + Normalize + description, scope, + tools, constraints + + + Build candidates + S, A, H + with provenance + + + Compare + same task, + same evidence + + + Recommendation + clear owner, + confidence, tradeoff + + + + + + + + Evidence model + • source provenance + • deterministic checks + • generated counterfactuals labeled as generated + • guardrails, accuracy, reuse, and ownership scores + • clear final explanation + • confidence cap for synthetic evidence + • separation of runtime topology from design ownership + diff --git a/website/blog/media/2026-09-20-agent-skill-boundary-evaluator/hero-decision.svg b/website/blog/media/2026-09-20-agent-skill-boundary-evaluator/hero-decision.svg new file mode 100644 index 0000000..5e0ad45 --- /dev/null +++ b/website/blog/media/2026-09-20-agent-skill-boundary-evaluator/hero-decision.svg @@ -0,0 +1,53 @@ + + Three candidate designs for the same AI task + A diagram showing skill-only, agent-only, and agent-plus-skill designs as three alternate routes for the same task. + + + + + + + + One task. Three candidate designs. + + + + Skill-only + Reusable playbook + Procedure, examples, checks + Best when the work is + repeatable, teachable, and stable + + + + Agent-only + Specialist role + Owns goal, context, and choices + Best when the work is + context-heavy and adaptive + + + + Agent + skill + Coordinator and playbook + Goal in the agent; procedure in the skill + Best when the work needs + both judgment and repeatability + + + + + + The evaluator compares all three against the same evidence. + diff --git a/website/blog/media/2026-09-20-agent-skill-boundary-evaluator/ownership-roles.svg b/website/blog/media/2026-09-20-agent-skill-boundary-evaluator/ownership-roles.svg new file mode 100644 index 0000000..0691143 --- /dev/null +++ b/website/blog/media/2026-09-20-agent-skill-boundary-evaluator/ownership-roles.svg @@ -0,0 +1,47 @@ + + Ownership boundary between skills, agents, and external connectors + A diagram showing that a skill owns a reusable playbook, an agent owns goals and coordination, and an MCP connector owns external system access. + + + + + + Clear ownership makes the decision easier + + + + Skill + Reusable playbook + Procedure and examples + Stable repeatable steps + + + + Agent + Goal owner + Context and coordination + Judgment and handoff + + + + Connector + MCP or external access + Typed interface + Not the role owner + + + + + The same task can run locally or through MCP without changing the ownership model. + From dc5033d0c7b3c5b8e807a5419c6c7ffe9dbf67ab Mon Sep 17 00:00:00 2001 From: diberry <41597107+diberry@users.noreply.github.com> Date: Sun, 20 Sep 2026 09:33:50 -0700 Subject: [PATCH 2/4] Fix diagram label placement in agent-skill boundary blog --- ...0-how-to-build-an-agent-skill-evaluator.md | 8 +- .../evaluator-flow.png | Bin 0 -> 31505 bytes .../hero-decision.png | Bin 0 -> 29529 bytes .../ownership-roles.png | Bin 0 -> 37043 bytes .../ownership-roles.svg | 87 ++++++++++-------- 5 files changed, 53 insertions(+), 42 deletions(-) create mode 100644 website/blog/media/2026-09-20-agent-skill-boundary-evaluator/evaluator-flow.png create mode 100644 website/blog/media/2026-09-20-agent-skill-boundary-evaluator/hero-decision.png create mode 100644 website/blog/media/2026-09-20-agent-skill-boundary-evaluator/ownership-roles.png diff --git a/website/blog/2026-09-20-how-to-build-an-agent-skill-evaluator.md b/website/blog/2026-09-20-how-to-build-an-agent-skill-evaluator.md index 94e9f18..97a788c 100644 --- a/website/blog/2026-09-20-how-to-build-an-agent-skill-evaluator.md +++ b/website/blog/2026-09-20-how-to-build-an-agent-skill-evaluator.md @@ -20,7 +20,7 @@ keywords: - copilot customization - agent workflow design - skill architecture -image: ./media/2026-09-20-agent-skill-boundary-evaluator/hero-decision.svg +image: ./media/2026-09-20-agent-skill-boundary-evaluator/hero-decision.png --- # How I would build an evaluator for the agent-skill boundary @@ -33,7 +33,7 @@ A skill is usually the reusable playbook: a clear procedure, good examples, and The real problem is that this is easy to describe in theory and hard to judge in practice. So if I wanted to build an evaluator for this boundary, I would make it compare the same task through several candidate designs and then score them using the same evidence. -![Diagram showing one task evaluated under a skill-only design, an agent-only design, and a skill-plus-agent design](./media/2026-09-20-agent-skill-boundary-evaluator/hero-decision.svg) +![Diagram showing one task evaluated under a skill-only design, an agent-only design, and a skill-plus-agent design](./media/2026-09-20-agent-skill-boundary-evaluator/hero-decision.png) *The evaluator treats the same task as the same input problem, then measures which design yields the best fit without just guessing from the naming alone.* @@ -88,7 +88,7 @@ That is far more useful than a vague verdict like "use a skill" or "use an agent I would keep the evaluator intentionally simple and grounded. -![Diagram showing the evaluator flow: input, normalize, generate candidate designs, run comparison, score against evidence, and produce a recommendation with citations](./media/2026-09-20-agent-skill-boundary-evaluator/evaluator-flow.svg) +![Diagram showing the evaluator flow: input, normalize, generate candidate designs, run comparison, score against evidence, and produce a recommendation with citations](./media/2026-09-20-agent-skill-boundary-evaluator/evaluator-flow.png) *This is the kind of pipeline I would want: intake the source, normalize it, generate the design options, score them, and attach evidence to the final recommendation.* @@ -164,7 +164,7 @@ A skill can run locally. An agent can also run locally. An MCP-backed tool can s This separation matters because a lot of bad design comes from collapsing separate concerns into a single abstraction. A local workflow is not automatically better or worse than an MCP-backed one. It is simply a different runtime topology. -![Diagram showing that skill owns a reusable playbook, agent owns goals and coordination, and MCP or connector owns external access](./media/2026-09-20-agent-skill-boundary-evaluator/ownership-roles.svg) +![Diagram showing that skill owns a reusable playbook, agent owns goals and coordination, and MCP or connector owns external access](./media/2026-09-20-agent-skill-boundary-evaluator/ownership-roles.png) *The responsibility boundary is different from the execution topology. 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zotFUdiW7tFTAw-Lpd<7oRlr8NXR&VHqwf8nh9?@@r`Q6 literal 0 HcmV?d00001 diff --git a/website/blog/media/2026-09-20-agent-skill-boundary-evaluator/ownership-roles.svg b/website/blog/media/2026-09-20-agent-skill-boundary-evaluator/ownership-roles.svg index 0691143..b992023 100644 --- a/website/blog/media/2026-09-20-agent-skill-boundary-evaluator/ownership-roles.svg +++ b/website/blog/media/2026-09-20-agent-skill-boundary-evaluator/ownership-roles.svg @@ -1,47 +1,58 @@ - - Ownership boundary between skills, agents, and external connectors - A diagram showing that a skill owns a reusable playbook, an agent owns goals and coordination, and an MCP connector owns external system access. + + Split responsibilities between overloaded agent file, skill, agent, MCP, and hook layers + A diagram showing that a difficult task is split by moving reusable procedures to a skill, coordination to an agent, external access to MCP, and guarding rules to a hook. - + + + - - Clear ownership makes the decision easier - - - Skill - Reusable playbook - Procedure and examples - Stable repeatable steps + + Move each responsibility to the layer that owns it - - - Agent - Goal owner - Context and coordination - Judgment and handoff + + Overloaded agent file + • Specialist role + • Repeatable procedure + • External service calls + • Mandatory safety checks + • Templates and examples + • Tool and handoff policy - - - Connector - MCP or external access - Typed interface - Not the role owner + split + - - - - The same task can run locally or through MCP without changing the ownership model. + + Agent + Role, tools, context + and handoff + + + Skill + Procedure, templates + and examples + + + MCP + External system + access + + + Hook + Mandatory checks + and blocking rules From c4fdd86b3558d052ed5fc1f7dd250a5069e4601b Mon Sep 17 00:00:00 2001 From: diberry <41597107+diberry@users.noreply.github.com> Date: Sun, 20 Sep 2026 14:27:58 -0700 Subject: [PATCH 3/4] Fix blog diagram layout and evaluation visuals Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --- ...0-how-to-build-an-agent-skill-evaluator.md | 6 +- .../evaluator-flow.svg | 62 +- .../hero-decision.svg | 54 +- .../ownership-roles.svg | 59 +- ...kill-boundary-evaluator-evaluator-flow.mmd | 6 + ...skill-boundary-evaluator-hero-decision.mmd | 8 + ...ill-boundary-evaluator-ownership-roles.mmd | 19 + website/docusaurus.config.js | 7 +- website/package-lock.json | 1411 +++++++++++++++-- website/package.json | 1 + website/src/css/custom.css | 18 + 11 files changed, 1353 insertions(+), 298 deletions(-) create mode 100644 website/blog/mermaid/2026-09-20-agent-skill-boundary-evaluator-evaluator-flow.mmd create mode 100644 website/blog/mermaid/2026-09-20-agent-skill-boundary-evaluator-hero-decision.mmd create mode 100644 website/blog/mermaid/2026-09-20-agent-skill-boundary-evaluator-ownership-roles.mmd diff --git a/website/blog/2026-09-20-how-to-build-an-agent-skill-evaluator.md b/website/blog/2026-09-20-how-to-build-an-agent-skill-evaluator.md index 97a788c..695a021 100644 --- a/website/blog/2026-09-20-how-to-build-an-agent-skill-evaluator.md +++ b/website/blog/2026-09-20-how-to-build-an-agent-skill-evaluator.md @@ -33,7 +33,7 @@ A skill is usually the reusable playbook: a clear procedure, good examples, and The real problem is that this is easy to describe in theory and hard to judge in practice. So if I wanted to build an evaluator for this boundary, I would make it compare the same task through several candidate designs and then score them using the same evidence. -![Diagram showing one task evaluated under a skill-only design, an agent-only design, and a skill-plus-agent design](./media/2026-09-20-agent-skill-boundary-evaluator/hero-decision.png) +![Diagram showing one task evaluated under a skill-only design, an agent-only design, and a skill-plus-agent design](./media/2026-09-20-agent-skill-boundary-evaluator/hero-decision.svg) *The evaluator treats the same task as the same input problem, then measures which design yields the best fit without just guessing from the naming alone.* @@ -88,7 +88,7 @@ That is far more useful than a vague verdict like "use a skill" or "use an agent I would keep the evaluator intentionally simple and grounded. -![Diagram showing the evaluator flow: input, normalize, generate candidate designs, run comparison, score against evidence, and produce a recommendation with citations](./media/2026-09-20-agent-skill-boundary-evaluator/evaluator-flow.png) +![Diagram showing the evaluator flow: input, normalize, generate candidate designs, run comparison, score against evidence, and produce a recommendation with citations](./media/2026-09-20-agent-skill-boundary-evaluator/evaluator-flow.svg) *This is the kind of pipeline I would want: intake the source, normalize it, generate the design options, score them, and attach evidence to the final recommendation.* @@ -164,7 +164,7 @@ A skill can run locally. An agent can also run locally. An MCP-backed tool can s This separation matters because a lot of bad design comes from collapsing separate concerns into a single abstraction. A local workflow is not automatically better or worse than an MCP-backed one. It is simply a different runtime topology. -![Diagram showing that skill owns a reusable playbook, agent owns goals and coordination, and MCP or connector owns external access](./media/2026-09-20-agent-skill-boundary-evaluator/ownership-roles.png) +![Diagram showing that skill owns a reusable playbook, agent owns goals and coordination, and MCP or connector owns external access](./media/2026-09-20-agent-skill-boundary-evaluator/ownership-roles.svg) *The responsibility boundary is different from the execution topology. The decision about role ownership should remain stable even when the runtime changes.* diff --git a/website/blog/media/2026-09-20-agent-skill-boundary-evaluator/evaluator-flow.svg b/website/blog/media/2026-09-20-agent-skill-boundary-evaluator/evaluator-flow.svg index 5e52888..0dda1c1 100644 --- a/website/blog/media/2026-09-20-agent-skill-boundary-evaluator/evaluator-flow.svg +++ b/website/blog/media/2026-09-20-agent-skill-boundary-evaluator/evaluator-flow.svg @@ -1,61 +1 @@ - - Evaluator flow for agent-skill design decisions - A flowchart showing source intake, normalization, candidate generation, comparison, scoring, and recommendation output. - - - - - - - - How the evaluator works - - - Source - agent, skill, - or task description - - - Normalize - description, scope, - tools, constraints - - - Build candidates - S, A, H - with provenance - - - Compare - same task, - same evidence - - - Recommendation - clear owner, - confidence, tradeoff - - - - - - - - Evidence model - • source provenance - • deterministic checks - • generated counterfactuals labeled as generated - • guardrails, accuracy, reuse, and ownership scores - • clear final explanation - • confidence cap for synthetic evidence - • separation of runtime topology from design ownership - +

Source

Normalize

Candidate designs

Score against evidence

Recommendation with citations

 \ No newline at end of file diff --git a/website/blog/media/2026-09-20-agent-skill-boundary-evaluator/hero-decision.svg b/website/blog/media/2026-09-20-agent-skill-boundary-evaluator/hero-decision.svg index 5e0ad45..10ae587 100644 --- a/website/blog/media/2026-09-20-agent-skill-boundary-evaluator/hero-decision.svg +++ b/website/blog/media/2026-09-20-agent-skill-boundary-evaluator/hero-decision.svg @@ -1,53 +1 @@ - - Three candidate designs for the same AI task - A diagram showing skill-only, agent-only, and agent-plus-skill designs as three alternate routes for the same task. - - - - - - - - One task. Three candidate designs. - - - - Skill-only - Reusable playbook - Procedure, examples, checks - Best when the work is - repeatable, teachable, and stable - - - - Agent-only - Specialist role - Owns goal, context, and choices - Best when the work is - context-heavy and adaptive - - - - Agent + skill - Coordinator and playbook - Goal in the agent; procedure in the skill - Best when the work needs - both judgment and repeatability - - - - - - The evaluator compares all three against the same evidence. - +

Same task
Same evidence

Skill-only
Reusable procedure

Agent-only
Context + judgment

Agent + skill
Goal + playbook

Best fit
By evidence

 \ No newline at end of file diff --git a/website/blog/media/2026-09-20-agent-skill-boundary-evaluator/ownership-roles.svg b/website/blog/media/2026-09-20-agent-skill-boundary-evaluator/ownership-roles.svg index b992023..f18260f 100644 --- a/website/blog/media/2026-09-20-agent-skill-boundary-evaluator/ownership-roles.svg +++ b/website/blog/media/2026-09-20-agent-skill-boundary-evaluator/ownership-roles.svg @@ -1,58 +1 @@ - - Split responsibilities between overloaded agent file, skill, agent, MCP, and hook layers - A diagram showing that a difficult task is split by moving reusable procedures to a skill, coordination to an agent, external access to MCP, and guarding rules to a hook. - - - - - - - - - Move each responsibility to the layer that owns it - - - Overloaded agent file - • Specialist role - • Repeatable procedure - • External service calls - • Mandatory safety checks - • Templates and examples - • Tool and handoff policy - - split - - - - Agent - Role, tools, context - and handoff - - - Skill - Procedure, templates - and examples - - - MCP - External system - access - - - Hook - Mandatory checks - and blocking rules - +

Runtime topology

Ownership boundary

Method

Decision + orchestration

Skill
Reusable playbook

Agent
Goals + coordination

Local execution

MCP / connector

 \ No newline at end of file diff --git a/website/blog/mermaid/2026-09-20-agent-skill-boundary-evaluator-evaluator-flow.mmd b/website/blog/mermaid/2026-09-20-agent-skill-boundary-evaluator-evaluator-flow.mmd new file mode 100644 index 0000000..5a5f39a --- /dev/null +++ b/website/blog/mermaid/2026-09-20-agent-skill-boundary-evaluator-evaluator-flow.mmd @@ -0,0 +1,6 @@ +%%{init: {"theme": "base", "themeVariables": {"fontFamily": "Inter, ui-sans-serif, system-ui", "primaryColor": "#f5e6d3", "primaryTextColor": "#3d2817", "primaryBorderColor": "#d4896b", "lineColor": "#c9956b", "secondaryColor": "#fdf4e8", "tertiaryColor": "#f9ead8", "textColor": "#3d2817", "fontSize": "20px"}}}%% +flowchart LR + source["Source"] --> normalize["Normalize"] + normalize --> candidates["Candidate designs"] + candidates --> score["Score against evidence"] + score --> recommendation["Recommendation with citations"] diff --git a/website/blog/mermaid/2026-09-20-agent-skill-boundary-evaluator-hero-decision.mmd b/website/blog/mermaid/2026-09-20-agent-skill-boundary-evaluator-hero-decision.mmd new file mode 100644 index 0000000..88c2a9c --- /dev/null +++ b/website/blog/mermaid/2026-09-20-agent-skill-boundary-evaluator-hero-decision.mmd @@ -0,0 +1,8 @@ +%%{init: {"theme": "base", "themeVariables": {"fontFamily": "Inter, ui-sans-serif, system-ui", "primaryColor": "#f5e6d3", "primaryTextColor": "#3d2817", "primaryBorderColor": "#d4896b", "lineColor": "#c9956b", "secondaryColor": "#fdf4e8", "tertiaryColor": "#f9ead8", "textColor": "#3d2817", "fontSize": "18px"}}}%% +flowchart LR + task["Same task
Same evidence"] --> skill["Skill-only
Reusable procedure"] + task --> agent["Agent-only
Context + judgment"] + task --> hybrid["Agent + skill
Goal + playbook"] + skill --> verdict["Best fit
By evidence"] + agent --> verdict + hybrid --> verdict diff --git a/website/blog/mermaid/2026-09-20-agent-skill-boundary-evaluator-ownership-roles.mmd b/website/blog/mermaid/2026-09-20-agent-skill-boundary-evaluator-ownership-roles.mmd new file mode 100644 index 0000000..7eabbdd --- /dev/null +++ b/website/blog/mermaid/2026-09-20-agent-skill-boundary-evaluator-ownership-roles.mmd @@ -0,0 +1,19 @@ +%%{init: {"theme": "base", "themeVariables": {"fontFamily": "Inter, ui-sans-serif, system-ui", "primaryColor": "#f5e6d3", "primaryTextColor": "#3d2817", "primaryBorderColor": "#d4896b", "lineColor": "#c9956b", "secondaryColor": "#fdf4e8", "tertiaryColor": "#f9ead8", "textColor": "#3d2817", "fontSize": "18px"}}}%% +flowchart TB + subgraph ownership["Ownership boundary"] + skill["Skill
Reusable playbook"] + agent["Agent
Goals + coordination"] + end + + subgraph runtime["Runtime topology"] + local["Local execution"] + mcp["MCP / connector"] + end + + skill --> local + agent --> local + agent --> mcp + skill --> mcp + + skill -. "Method" .-> agent + agent -. "Decision + orchestration" .-> mcp diff --git a/website/docusaurus.config.js b/website/docusaurus.config.js index eb3f6e2..1b27969 100644 --- a/website/docusaurus.config.js +++ b/website/docusaurus.config.js @@ -20,7 +20,8 @@ const site = require('./site.config'); projectName: site.githubRepo, // Usually your repo name. themes: [ - '@saucelabs/theme-github-codeblock'], + '@saucelabs/theme-github-codeblock', + '@docusaurus/theme-mermaid'], presets: [ [ @@ -85,6 +86,10 @@ const site = require('./site.config'); feedOptions: site.feedOptions }), + markdown: { + mermaid: true, + }, + plugins: [ [ require.resolve("@easyops-cn/docusaurus-search-local"), diff --git a/website/package-lock.json b/website/package-lock.json index ff7841f..fa2a9c1 100644 --- a/website/package-lock.json +++ b/website/package-lock.json @@ -11,6 +11,7 @@ "@docusaurus/core": "^3.0.0", "@docusaurus/plugin-google-gtag": "^3.0.0", "@docusaurus/preset-classic": "^3.0.0", + "@docusaurus/theme-mermaid": "3.9.2", "@easyops-cn/docusaurus-search-local": "^0.52.2", "@mdx-js/react": "^3.0.0", "@saucelabs/theme-github-codeblock": "^0.3.0", @@ -330,6 +331,19 @@ "node": ">= 14.0.0" } }, + "node_modules/@antfu/install-pkg": { + "version": "2.0.1", + "resolved": "https://ms-feed-25.pkgs.visualstudio.com/1es-public/_packaging/npm-public/npm/registry/@antfu/install-pkg/-/install-pkg-2.0.1.tgz", + "integrity": "sha1-vbw9Io5vZFxYPtk1RfzdX1ovDKI=", + "license": "MIT", + "dependencies": { + "package-manager-detector": "^1.7.0", + "tinyexec": "^1.2.4" + }, + "funding": { + "url": "https://github.com/sponsors/antfu" + } + }, "node_modules/@babel/code-frame": { "version": "7.27.1", "resolved": "https://registry.npmjs.org/@babel/code-frame/-/code-frame-7.27.1.tgz", @@ -2030,6 +2044,51 @@ "node": ">=6.9.0" } }, + "node_modules/@braintree/sanitize-url": { + "version": "7.1.2", + "resolved": "https://ms-feed-25.pkgs.visualstudio.com/1es-public/_packaging/npm-public/npm/registry/@braintree/sanitize-url/-/sanitize-url-7.1.2.tgz", + "integrity": "sha1-yiA1sP7+lWqGdv8Maa9z5gX82B8=", + "license": "MIT" + }, + "node_modules/@chevrotain/cst-dts-gen": { + "version": "11.1.2", + "resolved": "https://ms-feed-25.pkgs.visualstudio.com/1es-public/_packaging/npm-public/npm/registry/@chevrotain/cst-dts-gen/-/cst-dts-gen-11.1.2.tgz", + "integrity": "sha1-UB6mF3+iHMVyZMeS71zD0LuUEP0=", + "license": "Apache-2.0", + "dependencies": { + "@chevrotain/gast": "11.1.2", + "@chevrotain/types": "11.1.2", + "lodash-es": "4.17.23" + } + }, + "node_modules/@chevrotain/gast": { + "version": "11.1.2", + "resolved": "https://ms-feed-25.pkgs.visualstudio.com/1es-public/_packaging/npm-public/npm/registry/@chevrotain/gast/-/gast-11.1.2.tgz", + "integrity": "sha1-ITOT8rWELovxM2m9wELH/RggGvI=", + "license": "Apache-2.0", + "dependencies": { + "@chevrotain/types": "11.1.2", + "lodash-es": "4.17.23" + } + }, + "node_modules/@chevrotain/regexp-to-ast": { + "version": "11.1.2", + "resolved": "https://ms-feed-25.pkgs.visualstudio.com/1es-public/_packaging/npm-public/npm/registry/@chevrotain/regexp-to-ast/-/regexp-to-ast-11.1.2.tgz", + "integrity": "sha1-ausLP9Xj8iCwY7PYVvu67VguTPo=", + "license": "Apache-2.0" + }, + "node_modules/@chevrotain/types": { + "version": "11.1.2", + "resolved": "https://ms-feed-25.pkgs.visualstudio.com/1es-public/_packaging/npm-public/npm/registry/@chevrotain/types/-/types-11.1.2.tgz", + "integrity": "sha1-6DoaJwTwxeSedZKyFAMaD0o01+U=", + "license": "Apache-2.0" + }, + "node_modules/@chevrotain/utils": { + "version": "11.1.2", + "resolved": "https://ms-feed-25.pkgs.visualstudio.com/1es-public/_packaging/npm-public/npm/registry/@chevrotain/utils/-/utils-11.1.2.tgz", + "integrity": "sha1-oLE2N6zAopM9ii7eukvx2nicVl0=", + "license": "Apache-2.0" + }, "node_modules/@colors/colors": { "version": "1.5.0", "resolved": "https://registry.npmjs.org/@colors/colors/-/colors-1.5.0.tgz", @@ -3975,6 +4034,34 @@ "react-dom": "^18.0.0 || ^19.0.0" } }, + "node_modules/@docusaurus/theme-mermaid": { + "version": "3.9.2", + "resolved": "https://ms-feed-25.pkgs.visualstudio.com/1es-public/_packaging/npm-public/npm/registry/@docusaurus/theme-mermaid/-/theme-mermaid-3.9.2.tgz", + "integrity": "sha1-8GXktLMZVg3djDvmXOndGc4dXMg=", + "license": "MIT", + "dependencies": { + "@docusaurus/core": "3.9.2", + "@docusaurus/module-type-aliases": "3.9.2", + "@docusaurus/theme-common": "3.9.2", + "@docusaurus/types": "3.9.2", + "@docusaurus/utils-validation": "3.9.2", + "mermaid": ">=11.6.0", + "tslib": "^2.6.0" + }, + "engines": { + "node": ">=20.0" + }, + "peerDependencies": { + "@mermaid-js/layout-elk": "^0.1.9", + "react": "^18.0.0 || ^19.0.0", + "react-dom": "^18.0.0 || ^19.0.0" + }, + "peerDependenciesMeta": { + "@mermaid-js/layout-elk": { + "optional": true + } + } + }, "node_modules/@docusaurus/theme-search-algolia": { "version": "3.9.2", "resolved": "https://registry.npmjs.org/@docusaurus/theme-search-algolia/-/theme-search-algolia-3.9.2.tgz", @@ -4278,6 +4365,23 @@ "@hapi/hoek": "^9.0.0" } }, + "node_modules/@iconify/types": { + "version": "2.0.0", + "resolved": "https://ms-feed-25.pkgs.visualstudio.com/1es-public/_packaging/npm-public/npm/registry/@iconify/types/-/types-2.0.0.tgz", + "integrity": "sha1-qw6epoHWyKEhTzDNdB/jogzFf1c=", + "license": "MIT" + }, + "node_modules/@iconify/utils": { + "version": "3.1.7", + "resolved": "https://ms-feed-25.pkgs.visualstudio.com/1es-public/_packaging/npm-public/npm/registry/@iconify/utils/-/utils-3.1.7.tgz", + "integrity": "sha1-//EcUoSQsRmiUKzjzzWgp44YIxc=", + "license": "MIT", + "dependencies": { + "@antfu/install-pkg": "^2.0.1", + "@iconify/types": "^2.0.0", + "import-meta-resolve": "^4.2.0" + } + }, "node_modules/@jest/schemas": { "version": "29.6.3", "resolved": "https://registry.npmjs.org/@jest/schemas/-/schemas-29.6.3.tgz", @@ -4536,6 +4640,18 @@ 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"integrity": "sha1-EpHilog8Miqd1MXdggY3IbU+JuI=", + "license": "MIT" + }, "node_modules/leven": { "version": "3.1.0", "resolved": "https://registry.npmjs.org/leven/-/leven-3.1.0.tgz", @@ -10681,6 +11719,12 @@ "integrity": "sha512-v2kDEe57lecTulaDIuNTPy3Ry4gLGJ6Z1O3vE1krgXZNrsQ+LFTGHVxVjcXPs17LhbZVGedAJv8XZ1tvj5FvSg==", "license": "MIT" }, + "node_modules/lodash-es": { + "version": "4.17.23", + "resolved": "https://ms-feed-25.pkgs.visualstudio.com/1es-public/_packaging/npm-public/npm/registry/lodash-es/-/lodash-es-4.17.23.tgz", + "integrity": "sha1-WMQ2D9G10zr8bAu9PRFJNJsROOA=", + "license": "MIT" + }, "node_modules/lodash.debounce": { "version": "4.0.8", "resolved": "https://registry.npmjs.org/lodash.debounce/-/lodash.debounce-4.0.8.tgz", @@ -11271,6 +12315,53 @@ "node": ">= 8" } }, + "node_modules/mermaid": { + "version": "12.0.0", + "resolved": "https://ms-feed-25.pkgs.visualstudio.com/1es-public/_packaging/npm-public/npm/registry/mermaid/-/mermaid-12.0.0.tgz", + "integrity": "sha512-/wQXC9iBxoGV8p3erbvaXs9h77VyLDBH6GdayVjj3hEcSQhFU4N1WUhUppotCEqlIxI2pRMwjwBSwTB1MfZBgQ==", + "license": "MIT", + "dependencies": { + "@braintree/sanitize-url": "^7.1.2", + "@iconify/utils": "^3.0.2", + "@mermaid-js/parser": "^2.0.0", + "@types/d3": "^7.4.3", + "@upsetjs/venn.js": "^2.0.0", + "chevrotain": "~11.1.2", + "cytoscape": "^3.34.0", + "cytoscape-cose-bilkent": "^4.1.0", + "cytoscape-fcose": "^2.2.0", + "d3": "^7.9.0", + "d3-sankey": "^0.12.3", + "dagre-d3-es": "7.0.14", + "dayjs": "^1.11.21", + "dompurify": "^3.4.12", + "elkjs": "^0.9.3", + "es-toolkit": "^1.45.1", + "katex": "^0.16.47", + "khroma": "^2.1.0", + "marked": "^16.3.0", + "roughjs": "^4.6.6", + "stylis": "^4.3.6", + "ts-dedent": "^2.2.0", + "uuid": "^11.1.0 || ^12 || ^13 || ^14.0.0" + }, + "engines": { + "node": ">=22.12.0" + } + }, + "node_modules/mermaid/node_modules/uuid": { + "version": "14.0.2", + "resolved": "https://ms-feed-25.pkgs.visualstudio.com/1es-public/_packaging/npm-public/npm/registry/uuid/-/uuid-14.0.2.tgz", + "integrity": "sha1-1a4D5NsIgchycfiwub1zEtAseZo=", + "funding": [ + "https://github.com/sponsors/broofa", + "https://github.com/sponsors/ctavan" + ], + "license": "MIT", + "bin": { + "uuid": "dist-node/bin/uuid" + } + }, "node_modules/methods": { "version": "1.1.2", "resolved": "https://registry.npmjs.org/methods/-/methods-1.1.2.tgz", @@ -13158,9 +14249,9 @@ "license": "ISC" }, "node_modules/minimatch": { - "version": "3.1.2", - "resolved": "https://registry.npmjs.org/minimatch/-/minimatch-3.1.2.tgz", - "integrity": "sha512-J7p63hRiAjw1NDEww1W7i37+ByIrOWO5XQQAzZ3VOcL0PNybwpfmV/N05zFAzwQ9USyEcX6t3UO+K5aqBQOIHw==", + "version": "3.1.5", + "resolved": "https://ms-feed-25.pkgs.visualstudio.com/1es-public/_packaging/npm-public/npm/registry/minimatch/-/minimatch-3.1.5.tgz", + "integrity": "sha1-WAyI+NVEXyvWqo88re+g3nn71p4=", "license": "ISC", "dependencies": { "brace-expansion": "^1.1.7" @@ -13653,6 +14744,12 @@ "url": "https://github.com/sponsors/sindresorhus" } }, + "node_modules/package-manager-detector": { + "version": "1.8.0", + "resolved": "https://ms-feed-25.pkgs.visualstudio.com/1es-public/_packaging/npm-public/npm/registry/package-manager-detector/-/package-manager-detector-1.8.0.tgz", + "integrity": "sha1-cMmixL0aUT3NbK0Aap/OvsIqElM=", + "license": "MIT" + }, "node_modules/param-case": { "version": "3.0.4", "resolved": "https://registry.npmjs.org/param-case/-/param-case-3.0.4.tgz", @@ -13792,6 +14889,12 @@ "tslib": "^2.0.3" } }, + "node_modules/path-data-parser": { + "version": "0.1.0", + "resolved": "https://ms-feed-25.pkgs.visualstudio.com/1es-public/_packaging/npm-public/npm/registry/path-data-parser/-/path-data-parser-0.1.0.tgz", + "integrity": "sha1-j1ulzHD8e+yz3O+uoI4mWaumC4w=", + "license": "MIT" + }, "node_modules/path-exists": { "version": "5.0.0", "resolved": "https://registry.npmjs.org/path-exists/-/path-exists-5.0.0.tgz", @@ -13883,6 +14986,22 @@ "url": "https://github.com/sponsors/sindresorhus" } }, + "node_modules/points-on-curve": { + "version": "0.2.0", + "resolved": "https://ms-feed-25.pkgs.visualstudio.com/1es-public/_packaging/npm-public/npm/registry/points-on-curve/-/points-on-curve-0.2.0.tgz", + "integrity": "sha1-fbuYxDeRhZQ0KEdhMw+ok8uBtNE=", + "license": "MIT" + }, + "node_modules/points-on-path": { + "version": "0.2.1", + "resolved": "https://ms-feed-25.pkgs.visualstudio.com/1es-public/_packaging/npm-public/npm/registry/points-on-path/-/points-on-path-0.2.1.tgz", + "integrity": "sha1-VTICtUJMU77TcTWzGIWOrP+F3VI=", + "license": "MIT", + "dependencies": { + "path-data-parser": "0.1.0", + "points-on-curve": "0.2.0" + } + }, "node_modules/postcss": { "version": "8.5.6", "resolved": "https://registry.npmjs.org/postcss/-/postcss-8.5.6.tgz", @@ -15694,9 +16813,9 @@ } }, "node_modules/react-loadable-ssr-addon-v5-slorber": { - "version": "1.0.1", - "resolved": "https://registry.npmjs.org/react-loadable-ssr-addon-v5-slorber/-/react-loadable-ssr-addon-v5-slorber-1.0.1.tgz", - "integrity": "sha512-lq3Lyw1lGku8zUEJPDxsNm1AfYHBrO9Y1+olAYwpUJ2IGFBskM0DMKok97A6LWUpHm+o7IvQBOWu9MLenp9Z+A==", + "version": "1.0.3", + "resolved": "https://ms-feed-25.pkgs.visualstudio.com/1es-public/_packaging/npm-public/npm/registry/react-loadable-ssr-addon-v5-slorber/-/react-loadable-ssr-addon-v5-slorber-1.0.3.tgz", + "integrity": "sha1-uzeRv0gSIsY6W8a5buI/aMtWFLk=", "license": "MIT", "dependencies": { "@babel/runtime": "^7.10.3" @@ -16307,6 +17426,24 @@ "node": ">=0.10.0" } }, + "node_modules/robust-predicates": { + "version": "3.0.3", + "resolved": "https://ms-feed-25.pkgs.visualstudio.com/1es-public/_packaging/npm-public/npm/registry/robust-predicates/-/robust-predicates-3.0.3.tgz", + "integrity": "sha1-EJkGGzNJ4sWr7GwqsKzUQNJNQGI=", + "license": "Unlicense" + }, + "node_modules/roughjs": { + "version": "4.6.6", + "resolved": "https://ms-feed-25.pkgs.visualstudio.com/1es-public/_packaging/npm-public/npm/registry/roughjs/-/roughjs-4.6.6.tgz", + "integrity": "sha1-EFn0ml4MgN7lQaAFsgzDIrIiFYs=", + "license": "MIT", + "dependencies": { + "hachure-fill": "^0.5.2", + "path-data-parser": "^0.1.0", + "points-on-curve": "^0.2.0", + "points-on-path": "^0.2.1" + } + }, "node_modules/rtlcss": { "version": "4.3.0", "resolved": "https://registry.npmjs.org/rtlcss/-/rtlcss-4.3.0.tgz", @@ -16360,6 +17497,12 @@ "queue-microtask": "^1.2.2" } }, + "node_modules/rw": { + "version": "1.3.3", + "resolved": "https://ms-feed-25.pkgs.visualstudio.com/1es-public/_packaging/npm-public/npm/registry/rw/-/rw-1.3.3.tgz", + "integrity": "sha1-P4Yt+pGrdmsUiF700BEkv9oHT7Q=", + "license": "BSD-3-Clause" + }, "node_modules/safe-buffer": { "version": "5.2.1", "resolved": "https://registry.npmjs.org/safe-buffer/-/safe-buffer-5.2.1.tgz", @@ -16550,15 +17693,15 @@ } }, "node_modules/serve-handler": { - "version": "6.1.6", - "resolved": "https://registry.npmjs.org/serve-handler/-/serve-handler-6.1.6.tgz", - "integrity": "sha512-x5RL9Y2p5+Sh3D38Fh9i/iQ5ZK+e4xuXRd/pGbM4D13tgo/MGwbttUk8emytcr1YYzBYs+apnUngBDFYfpjPuQ==", + "version": "6.1.7", + "resolved": "https://ms-feed-25.pkgs.visualstudio.com/1es-public/_packaging/npm-public/npm/registry/serve-handler/-/serve-handler-6.1.7.tgz", + "integrity": "sha1-6buGTofucejauHTN5E0Ua3fj+3g=", "license": "MIT", "dependencies": { "bytes": "3.0.0", "content-disposition": "0.5.2", "mime-types": "2.1.18", - "minimatch": "3.1.2", + "minimatch": "3.1.5", "path-is-inside": "1.0.2", "path-to-regexp": "3.3.0", "range-parser": "1.2.0" @@ -17178,6 +18321,12 @@ "postcss": "^8.4.31" } }, + "node_modules/stylis": { + "version": "4.4.0", + "resolved": "https://ms-feed-25.pkgs.visualstudio.com/1es-public/_packaging/npm-public/npm/registry/stylis/-/stylis-4.4.0.tgz", + "integrity": "sha1-xYRsk0X0v8Ub0MvXyjWgdE9IWl0=", + "license": "MIT" + }, "node_modules/supports-color": { "version": "7.2.0", "resolved": "https://registry.npmjs.org/supports-color/-/supports-color-7.2.0.tgz", @@ -17401,6 +18550,15 @@ "integrity": "sha512-lBN9zLN/oAf68o3zNXYrdCt1kP8WsiGW8Oo2ka41b2IM5JL/S1CTyX1rW0mb/zSuJun0ZUrDxx4sqvYS2FWzPA==", "license": "MIT" }, + "node_modules/tinyexec": { + "version": "1.3.1", + "resolved": "https://ms-feed-25.pkgs.visualstudio.com/1es-public/_packaging/npm-public/npm/registry/tinyexec/-/tinyexec-1.3.1.tgz", + "integrity": "sha1-FqLjxuI/r85yZA5njmUds2FFucY=", + "license": "MIT", + "engines": { + "node": ">=18" + } + }, "node_modules/tinypool": { "version": "1.1.1", "resolved": "https://registry.npmjs.org/tinypool/-/tinypool-1.1.1.tgz", @@ -17476,6 +18634,15 @@ "url": "https://github.com/sponsors/wooorm" } }, + "node_modules/ts-dedent": { + "version": "2.3.0", + "resolved": "https://ms-feed-25.pkgs.visualstudio.com/1es-public/_packaging/npm-public/npm/registry/ts-dedent/-/ts-dedent-2.3.0.tgz", + "integrity": "sha1-j6w2x5ArVBwVSsE6J6xGeZevEfg=", + "license": "MIT", + "engines": { + "node": ">=6.10" + } + }, "node_modules/tslib": { "version": "2.8.1", "resolved": "https://registry.npmjs.org/tslib/-/tslib-2.8.1.tgz", diff --git a/website/package.json b/website/package.json index 72196fb..37bbd88 100644 --- a/website/package.json +++ b/website/package.json @@ -24,6 +24,7 @@ "@docusaurus/core": "^3.0.0", "@docusaurus/plugin-google-gtag": "^3.0.0", "@docusaurus/preset-classic": "^3.0.0", + "@docusaurus/theme-mermaid": "3.9.2", "@easyops-cn/docusaurus-search-local": "^0.52.2", "@mdx-js/react": "^3.0.0", "@saucelabs/theme-github-codeblock": "^0.3.0", diff --git a/website/src/css/custom.css b/website/src/css/custom.css index 32a2b09..2b66065 100644 --- a/website/src/css/custom.css +++ b/website/src/css/custom.css @@ -27,3 +27,21 @@ html[data-theme='dark'] .docusaurus-highlight-code-line { background-color: rgba(0, 0, 0, 0.3); } +.mermaid { + display: flex; + justify-content: center; + margin: 1.5rem auto; + max-width: 100%; + overflow: auto; +} + +.mermaid 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