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cccskills
무료GitHub에 공개

triage

Find worthwhile FastMCP issues within a backlog or release window. Investigate user impact, intended behavior, likely causes, and existing pull requests, then recommend concrete candidates with links and next steps.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

원문원문 설명 보기

Find worthwhile FastMCP issues to work on in a backlog or release window, verify promising candidates, and present concrete picks with existing PR links.

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설치 방법 보기

이럴 때 유용합니다

  • Choosing the next FastMCP issue to work on
  • Finding issues reported or updated since the last patch
  • Organizing fixed issues and competing pull requests

포함된 파일(1)

  • SKILL.md2.9 KB

SKILL.md(원문)

설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.

Find worthwhile work

Read AGENTS.md and the contribution policy in the development guide. Honor the requested scope. For "since the last patch," identify the release timestamp, then look for open issues created or substantively updated afterward. Use a bounded inventory internally; report truncation if it affects coverage.

Start from an inventory, then link each candidate to the PRs that mention it:

gh release list --repo PrefectHQ/fastmcp --limit 1
gh issue list --repo PrefectHQ/fastmcp --state open --limit 30 \
  --json number,title,author,createdAt,updatedAt,labels,comments
gh pr list --repo PrefectHQ/fastmcp --state all --search "<issue-number> in:body" \
  --json number,title,state,author

Where search, GraphQL or --paginate are blocked (cloud sessions), page repo-scoped REST by hand (gh api "repos/PrefectHQ/fastmcp/pulls?state=all&per_page=100&page=N"), dump it once, and join locally.

Pick work with concrete user impact, a supported contract being violated, a tractable causal fix, and a change FastMCP wants to carry. Apply triage and merge decisions before ranking anything: labels and confident diagnoses are claims, and the behavior may already be fixed or decided. Mark each pick want / marginal / don't want. Do not rank solely by recency, comment count, or how small a proposed patch looks. Automated dashboard churn is not itself useful work.

For promising candidates:

  • Read the report, comments, maintainer decisions, and prior bot investigation.
  • Search related issues and PRs in all states, including gate-closed contributions. Closure alone says nothing about a fix's merit.
  • Trace the relevant code and git history. Distinguish fixed on main, released on the affected line, and merely proposed.
  • Verify the claimed contract and enough evidence to explain the cause. A proposed solution is a lead, not a diagnosis. Consider compatibility before calling a fix straightforward.

For a cleanup pass, the mechanical wins are open PRs whose linked issue is already closed, issues still open after a merged "fixes #N" (check for a revert first), and competing PRs for one issue.

Lead with the strongest pick as soon as evidence supports it: link, what breaks, why it matters, where the cause is, and the next action. Include a few alternatives when useful. Do not turn selection into an exhaustive audit or a full review of every linked PR. Save continuation notes only when needed.

When the user chooses implementation, use fix-issue. For an assignment decision on an external contribution, use review-issue. Triage alone does not authorize public mutations or implementation.

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docs

무료

Write and revise FastMCP documentation pages with consistent structure, clear explanations, and runnable code examples. Covers accessibility, link and Python checks, and the publishing steps needed to confirm changes reach the live site.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Documenting a new FastMCP feature
  • Reworking an existing documentation page
  • Reviewing accessibility and page consistency
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Discover MCP servers and inspect their available tools from the command line, then invoke operations with typed arguments or JSON. Use local files, remote endpoints, or configured server names, and return structured output for scripts.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Finding MCP servers configured in editors or a project
  • Inspecting available tools and input definitions
  • Calling tools on local or remote MCP servers
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Build, extend, or review Python FastMCP servers using documentation for the installed version. Design operations that agents can discover and use, then check input definitions, results, error handling, and representative agent workflows.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Building an MCP server with Python FastMCP
  • Adding tools, resources, or reusable prompts
  • Reviewing input definitions and error handling
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fix-issue

무료

Take a selected FastMCP bug from a reproducible failure to a focused fix. Check compatibility, run required validation, prepare a pull request, and follow automated checks and review feedback after publication.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Fixing a reproducible FastMCP bug
  • Checking compatibility before publishing a fix
  • Following checks and feedback after opening a pull request
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Write regression tests that catch recurring bugs in FastMCP changes using pytest. Covers reproducing failures before a fix, testing requests without a network server, and checking outgoing requests while replacing external services with test substitutes.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Reproducing a bug before testing its fix
  • Testing MCP behavior without a network server
  • Checking requests sent to external services
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release

무료

Prepare and publish FastMCP releases, from reviewing changes and crediting contributors to updating changelogs, creating release tags, checking Python package publication on PyPI, and confirming that the documentation site reflects the release.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Previewing changes for the next FastMCP release
  • Preparing release notes and contributor credits
  • Publishing a patch or maintenance release
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