跳到正文
cccskills
免费在 GitHub 公开

docs-sync

Assess how a pull request affects documentation, classify the required updates, and coordinate writing, technical verification, and editorial review. The result is an advisory comment with proposed changes for affected pages or document structure.

中文简介正在准备中。当前显示英语简介。

原文查看原文说明

Use this skill whenever a pull request is opened, reopened, or synchronized in microsoft/apm to assess whether and how the documentation corpus must change to stay truthful with the proposed code change. Activate even when the PR title or body says nothing about docs -- the skill must run on every PR to detect silent drift between code and docs. Classifies impact as no-change, in-place edit (one to a few paragraphs), or structural change (new page or TOC reshape), then orchestrates a CDO + doc-writer + python-architect + editorial-owner + growth-hacker loop to produce a patch-ready advisory. Does NOT review code quality, security, or test coverage. Does NOT auto-merge or auto-push doc edits.

查看安装方法

适用场景

  • Finding documentation gaps caused by code changes
  • Drafting targeted corrections for existing documentation
  • Planning new pages or table of contents changes

包含的文件(7)

  • SKILL.md11.8 KB
  • assets/advisory-comment-template.md2.6 KB
  • assets/classifier-return-schema.json1.6 KB
  • assets/panelist-return-schema.json2.1 KB
  • evals/content-evals.json4.2 KB
  • evals/README.md1.3 KB
  • evals/trigger-evals.json2.3 KB

SKILL.md(原文)

安装前可以查看交给 AI 代理的指令内容。

docs-sync -- per-PR documentation impact panel

The docs corpus drifts silently and constantly. This skill catches drift at PR-open time, classifies its impact, and orchestrates a persona panel to produce a patch-ready advisory comment.

The pattern is A1 PANEL + B1 FAN-OUT/SYNTHESIZER + A8 ALIGNMENT LOOP. The classifier is the cost gate (~70% of PRs short-circuit to no-change with ~1 LLM call). When the panel does fan out, every agent reads a bounded context (~10 KB) -- never the full corpus.

This skill is ADVISORY. It does not gate merge, apply verdict labels, or push to the contributor's fork. The orchestrator is the sole writer to the PR: exactly one comment per run (idempotent edit-in-place), plus optional label sweeps.

Architecture invariants

  • Cost ceiling: 15 LLM calls per run. Hard-wired. The orchestrator refuses to spawn beyond. Header prints N/15 for observability.
  • Single-writer interlock. Only the orchestrator writes. Panelist subagents return JSON; they MUST NOT call any gh write command, post comments, or touch PR state.
  • Idempotent comment. Exactly one comment per run, with a stable header ## Docs sync advisory. Re-runs edit-in-place using gh pr comment --edit-last.
  • No fork-write. Companion docs PRs require Step 7's fresh responsible-human issue-scope checkpoint and open in the BASE repo; never pushed to the contributor's fork. Labels request advice, not implementation.
  • Index-not-corpus reads. Every classifier and architect agent reads .apm/docs-index.yml, NOT the corpus itself. The corpus is sampled only by the localizer (which reads the specific candidate pages) and by per-page panelists (which read one page each).
  • S7 deterministic tool bridge. The python-architect panelist MUST run real apm --help, grep, and python -c commands to verify doc claims, never assert from prose.

Roster

RoleAgentAlways active?
Classifierdoc-analyser inside docs-impact-classifierYes (every run)
Localizerdocs-impact-localizerOnly on in_place verdict
Architectdocs-impact-architectOnly on structural verdict
Writerdoc-writerPer candidate page (fan-out)
Verifierpython-architectPer candidate page (fan-out, S7)
Editorialeditorial-ownerOnce across all redrafts
Growthoss-growth-hackerOnce across all redrafts
SynthesizercdoOnce, with ALIGNMENT LOOP up to 3 redrafts

Topology

   docs-sync SKILL (orchestrator thread)
                 |
   Step 1: classify (1 LLM call, may exit here)
                 |
                 v
            verdict?
            /    |    \
   no-change  in-place  structural
       |        |          |
     EXIT       |       architect (TOC delta)
                |          |
                +----<-----+
                |
   Step 2: localize (1 LLM call) -- per-page task brief
                |
   Step 3: FAN-OUT panel via task tool
                |
       +----+----+----+----+
       v    v    v    v    v
     writer  verify edit growth
     x N    x N   once  once
       (parallel; each <=10 KB context)
                |
   Step 4: schema-validate returns
                |
   Step 5: CDO synthesize (1 LLM call)
                |
            agree?
            / | \
        revise (N<=3 redrafts) | agree
                                  |
   Step 6: emit ONE comment via safe-outputs.add-comment
   Step 7: OPTIONAL companion docs PR (structural AND fresh
           responsible-human issue-scope checkpoint)

Execution checklist

Step 1 -- Classify

Spawn ONE task: load the docs-impact-classifier skill, pass it the PR number. It returns the classifier JSON.

Validate the JSON against assets/classifier-return-schema.json. On schema failure, abort the run with a comment explaining the internal error.

If verdict is no_change: skip to Step 6 with a brief advisory ("No docs impact detected. Reason: <one-line>. LLM calls: 1/15.")

Step 2 -- Localize (in_place) or Architect (structural)

For in_place: spawn ONE task that loads the docs-impact-localizer skill with the classifier output. Returns per-page task briefs.

For structural: spawn ONE task that loads the docs-impact-architect skill with the classifier output. Returns TOC delta + new-page outlines + downstream in-place pages. THEN spawn the localizer for those downstream pages.

Step 3 -- Fan-out panel

Cascade-size mitigation (PR 1244 class). If scope_pages[] has

8 entries, the per-page fan-out at one writer call per page would approach the 15-call ceiling with no headroom for verifier redrafts. BEFORE spawning, group scope_pages[] into SECTIONS:

  • Pages under the same TOC section (e.g. all consumer/**) with the SAME conceptual fix (e.g. "rename apm update -> apm self-update in every mention") become ONE writer task with a pages_in_section[] array in its brief.
  • A 9-page rename cascade collapses to 2-3 section writer tasks.

The python-architect verifier still runs per verify_claims[] (not per page), because S7 evidence is keyed on claims, not pages.

For each page-or-section in the per-page task brief, spawn TWO parallel tasks:

  1. doc-writer task -- drafts the patch for that page's (or section's) specific edits. Output: JSON with before:, after: for each location.
  2. python-architect task -- for each verify_claims[] in the page brief, run the actual command (S7 tool bridge: apm <verb> --help, grep -n <symbol> src/). Output: JSON with claim: verified | refuted | inconclusive per claim.

In parallel with the per-page fan-out, spawn ONCE each:

  1. editorial-owner task -- receives ALL writer drafts, returns tone fixes.
  2. oss-growth-hacker task -- receives ALL writer drafts, returns ramp-clarity notes (does this read well to a cold OSS visitor).

All panelist tasks return JSON matching assets/panelist-return-schema.json. Schema-validate every return; on failure, abort.

Step 4 -- Validate

Cross-check:

  • Every verify_claims from a python-architect comes back verified or inconclusive (never refuted). If any are refuted, the doc-writer's draft is wrong; re-run the writer for that page with the refutation as context.
  • Cross-page constraints from the localizer are honored across all writer drafts.
  • All drafts are ASCII-only (per repo encoding rule).

Step 5 -- CDO synthesize

Spawn ONE task: load the cdo persona with the full panel return (writer drafts + verifier reports + editorial notes + growth notes

  • classifier verdict + (architect output if structural)) and .apm/docs-index.yml.

The CDO returns one of three verdicts:

  • agree: ship. Proceed to Step 6.
  • revise: re-spawn the writer panelists with the CDO's specific concerns as additional context. Re-run the editorial and growth passes if needed. Bounded N <= 3 redrafts. Increment a redraft counter; if it hits 3 and CDO still disagrees, ship with cdo_disagreement_noted: true.
  • ship_with_disagreement: ship as-is with the disagreement surfaced in the comment for the maintainer to weigh.

Step 6 -- Emit ONE comment

Render assets/advisory-comment-template.md with the final results. Write it via safe-outputs.add-comment. Header is exactly ## Docs sync advisory (stable for idempotent edit-in-place).

The comment MUST include the cost header:

Verdict: <verdict>  *  Pages affected: N  *  LLM calls: M/15  *  Took: Xs

Step 7 -- Optional companion PR

Only on structural verdict in a human-supervised follow-up. docs-sync-confirm is at most a request to discuss the proposal; it never ratifies scope or permits companion implementation. This applies even when an older workflow prompt calls it confirmation. Unattended label/manual-dispatch runs end with advice, not a companion PR.

Before editing, tie the companion to a real issue and a nominated scope-record comment URL. In a trusted default-branch checkout of the target repository (not the contributor branch or skill directory), probe:

node scripts/governance/eligibility.cjs --help
node scripts/governance/eligibility.cjs --repo microsoft/apm --issue N --approval-url URL

The target's authority.cjs owns record interpretation and the trusted GOVERNANCE.md roster. Do not add a package dependency, duplicate parser, or label-based roster. Missing tool, incomplete/API-failed reads, or unverifiable evidence means STOP and escalate.

The result always has authorizes_implementation: false: even an unedited scope evidence record cannot reveal deleted withdrawals. Obtain a fresh explicit confirmation from a responsible human for this issue's bounded scope, done-when, exclusions, and review contact before companion implementation. Capture its current confirmation reference; neither bot advice, a review, historical acceptance, silence, nor a label is consent. A named contact is not proof of review availability.

Only after that checkpoint:

  1. Branch name: docs-sync/companion-<PR_NUMBER> in the BASE repo.
  2. Apply the doc-writer drafts as a commit on that branch.
  3. Apply the architect's TOC delta (.apm/docs-index.yml entries + new page files + redirects on retired pages).
  4. Open a draft PR linked to the original PR, with the advisory comment text as the PR body.
  5. Reference the companion PR in the advisory comment.

The default is to recommend patches without opening a PR. Reconfirm on resume, changed scope, or uncertain withdrawal; never auto-push or merge.

Cost accounting

The orchestrator maintains a running LLM-call counter:

StepMin callsMax calls
Step 1 classify11
Step 2 localize/architect02
Step 3 fan-out (N pages)02N + 2
Step 5 CDO01 + 3 redrafts
Total115

If the counter would exceed 15, the orchestrator stops spawning, ships the partial result with cost_ceiling_hit: true, and the comment surfaces the truncation.

Anti-patterns

  • Reading the corpus instead of the index. Context budget breach.
  • Letting panelists post comments. Single-writer interlock violation.
  • Ignoring refuted verify_claims. That's silent drift you're shipping.
  • Skipping the CDO synthesis on "obvious" in-place patches. The bridges still matter.
  • Treating docs-sync-confirm or evidence JSON as ratification. Only the fresh responsible-human issue-scope checkpoint permits implementation.
  • Re-running on every push (synchronize). Wasteful. Re-apply the trigger label for re-run.

Operating modes

  • Rung 1 (label-gated, default): triggered by docs-sync label on PR. Maintainer opts in.
  • Rung 2 (default-on): triggered on every pull_request_target event. Enabled only after shadow validation.

The workflow file controls which rung is active. The skill body is identical for both.

评价

还没有评价。欢迎分享你的使用感受。

评论

无需登录即可发表。欢迎分享使用感受、提问,或说明在哪些环境下无法运行。

还没有评论。来写第一条吧。

提交后会立即公开。请勿填写邮箱、电话等个人信息。URL 最多 2 个。

0 / 1000 字

此表单受 reCAPTCHA 保护,适用 Google 的隐私权政策和服务条款。

同一仓库的技能

Review OpenAPM specification changes through four specialist perspectives covering schemas, registries, dependency resolution, and web architecture. The skill combines findings and mechanical checks into one advisory comment, separating immediate fixes from work deferred to later versions.

中文简介正在准备中。当前显示英语简介。

  • Reviewing OpenAPM specification changes
  • Checking JSON Schemas and conformance fixtures
  • Separating immediate fixes from future version work
microsoft/apm40952026年10月20日 更新

Review APM positioning, public documentation, release communication, and breaking-change decisions using GitHub evidence. Check that incompatible changes include changelog entries and migration notes, and resolve disagreements among the project's specialist reviewers.

中文简介正在准备中。当前显示英语简介。

  • Reviewing project positioning in public documents
  • Checking changelogs and release communication
  • Confirming migration guidance for breaking changes
microsoft/apm40952026年10月20日 更新

apm-usage

免费

Get guidance on using APM, a package manager for AI agents, to install and share reusable instructions, skills, and server configurations. Covers dependencies, package creation, authentication, policy checks, CLI commands, and troubleshooting.

中文简介正在准备中。当前显示英语简介。

  • Install and restore AI-agent packages
  • Configure MCP and LSP servers
  • Create and share APM packages
microsoft/apm40952026年10月20日 更新

auth

免费

Guide authentication changes in APM CLI for GitHub and Azure DevOps. Centralizes credential lookup through AuthResolver and explains token precedence, Azure CLI fallback, Git credential helper retries, and error messages for failed authentication.

中文简介正在准备中。当前显示英语简介。

  • Updating token lookup and precedence
  • Fixing authentication during Git operations
  • Reviewing Azure DevOps fallback behavior
microsoft/apm40952026年10月20日 更新

Post or update one GitHub comment for an APM autopilot run. The skill assembles public or debug content, adds an AI-generated disclaimer, and supports previewing the assembled comment before posting.

中文简介正在准备中。当前显示英语简介。

  • Post an autopilot result to an Issue
  • Update an existing pull request comment
  • Preview a comment before posting
microsoft/apm40952026年10月20日 更新

Build an implementation queue from accepted GitHub issues and distribute them to dedicated workers. Record selection reasons, check for existing pull requests, and process the full queue with a configurable concurrency limit, defaulting to two workers.

中文简介正在准备中。当前显示英语简介。

  • Queue accepted issues for implementation
  • Limit concurrent issue delivery workers
  • Record why issues were included or skipped
microsoft/apm40952026年10月20日 更新

查看 microsoft 的全部技能

报告此技能的问题