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Use the `gh` CLI for issues, pull requests, Actions runs, and GitHub API queries.

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SKILL.md(原文)

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GitHub Skill

Use the gh CLI to interact with GitHub. Always specify --repo owner/repo when not in a git directory, or use URLs directly.

When to Use

  • When the user asks about GitHub issues, pull requests, workflow runs, or CI failures.
  • When you need gh issue, gh pr, gh run, or gh api from the command line.

Pull Requests

Check CI status on a PR:

gh pr checks 55 --repo owner/repo

List recent workflow runs:

gh run list --repo owner/repo --limit 10

View a run and see which steps failed:

gh run view <run-id> --repo owner/repo

View logs for failed steps only:

gh run view <run-id> --repo owner/repo --log-failed

Debugging a CI Failure

Follow this sequence to investigate a failing CI run:

  1. Check PR status — identify which checks are failing:
    gh pr checks 55 --repo owner/repo
    
  2. List recent runs — find the relevant run ID:
    gh run list --repo owner/repo --limit 10
    
  3. View the failed run — see which jobs and steps failed:
    gh run view <run-id> --repo owner/repo
    
  4. Fetch failure logs — get the detailed output for failed steps:
    gh run view <run-id> --repo owner/repo --log-failed
    

API for Advanced Queries

The gh api command is useful for accessing data not available through other subcommands.

Get PR with specific fields:

gh api repos/owner/repo/pulls/55 --jq '.title, .state, .user.login'

JSON Output

Most commands support --json for structured output. You can use --jq to filter:

gh issue list --repo owner/repo --json number,title --jq '.[] | "\(.number): \(.title)"'

Limitations

  • Use this skill only when the task clearly matches the scope described above.
  • Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
  • Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.

レビュー

まだレビューはありません。使ってみた感想をお寄せください。

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hybridlabor-api/aos62026年10月8日 更新

Use when a hybrid memory system that provides persistent, searchable knowledge management for AI agents (Architecture, Patterns, Decisions).

日本語の概要は準備中です。原文の説明を表示しています。

hybridlabor-api/aos62026年10月8日 更新

Reference for how BDB structures autonomous software engineering work — the seven-node dispatcher graph (Architect, TechLead, UI/UX, Engineering, Media/EventTech, Reviewer, Shipping) that /startcycle-graph actually runs. Use when you need the high-level lifecycle framing without inventing your own process.

日本語の概要は準備中です。原文の説明を表示しています。

hybridlabor-api/aos62026年10月8日 更新

Tools are how AI agents interact with the world. A well-designed tool is the difference between an agent that works and one that hallucinates, fails silently, or costs 10x more tokens than necessary. This skill covers tool design from schema to error handling.

日本語の概要は準備中です。原文の説明を表示しています。

hybridlabor-api/aos62026年10月8日 更新

Harness patterns for coding agents — memory, permissions, context engineering, delegation, skills, hooks, bootstrap.

日本語の概要は準備中です。原文の説明を表示しています。

hybridlabor-api/aos62026年10月8日 更新

Live map of a multi-agent build in the browser: which plan component is being worked on, by which agent or harness, what is done and what is stuck. Use when a multi-agent pipeline starts (/startcycle, /startcycle-graph, /teamwork-preview) or after a plan-canvas approve, or when the user asks to see what the agents are doing.

日本語の概要は準備中です。原文の説明を表示しています。

hybridlabor-api/aos62026年10月8日 更新

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