acquire-codebase-knowl…
Use this skill when the user explicitly asks to map, document, or onboard into an existing codebase. Trigger for prompts like…
Turn a vague, intermittent, or environment-specific bug report into a minimal evidence-backed reproduction before proposing a fix.
Claude Code
$ npx -y skills add github/awesome-copilot --skill bug-reproduction-brief --agent claude-code
Codex
$ npx skills add github/awesome-copilot --skill bug-reproduction-brief -a codex -y
Cursor
$ npx skills add github/awesome-copilot --skill bug-reproduction-brief -a cursor -y
Gemini CLI
$ npx skills add github/awesome-copilot --skill bug-reproduction-brief -a gemini-cli -y
GitHub Copilot
$ npx skills add github/awesome-copilot --skill bug-reproduction-brief -a github-copilot -y
OpenCode
$ npx skills add github/awesome-copilot --skill bug-reproduction-brief -a opencode -y
Windsurf
$ npx skills add github/awesome-copilot --skill bug-reproduction-brief -a windsurf -y
name: bug-reproduction-brief description: 'Turn a vague, intermittent, or environment-specific bug report into a minimal evidence-backed reproduction before proposing a fix.'
Use this skill when a bug report is incomplete, intermittent, environment-specific, or mixed with an assumed cause. The goal is to prove the smallest observable failure before diagnosis or repair begins.
Capture the exact error, incorrect output, timestamp, affected route or command, and the smallest known input. Preserve relevant logs without secrets or personal data. Label second-hand descriptions as unverified.
Record only facts you can inspect:
Never guess credentials or production configuration.
Write two explicit observable statements:
Expected: [observable result] Actual: [observable result, including status or error]
Do not put the suspected cause in either statement.
Start from the reported path, then remove unrelated data, services, and steps one at a time. Keep the smallest fixture that still fails. If the failure stops, restore the last removed condition and record it.
Prefer an isolated test, minimal script, or smallest safe request over reproducing against production.
Run the minimal reproduction at least twice where safe. Record commands and outputs. If the failure is intermittent, report the observed frequency and duration instead of calling it deterministic.
A verified reproduction is the deliverable. Do not edit implementation code while building the brief because that can destroy the evidence or mix diagnosis with remediation.
# Bug Reproduction Brief - Target and commit: - Environment: - Expected: - Actual: - Minimal steps: - Minimal fixture: - Reproduced: yes / no / intermittent - Evidence: - Unknowns: - Safe next hypothesis to test:
Use the Bug Reproduction Brief skill on the failing checkout test. Do not fix it yet. Reduce it to the smallest safe failing fixture and report the exact command evidence, expected result, actual result, and remaining unknowns.
Adapted from the MIT-licensed workflow at https://github.com/skyestrela/ai-agent-skill-preview.
A community-created collection of custom agents, instructions, skills, hooks, workflows, and plugins to supercharge your GitHub Copilot experience.
Use this skill when the user explicitly asks to map, document, or onboard into an existing codebase. Trigger for prompts like…
Run the AgentRC readiness assessment on the current repository and produce a static HTML dashboard at reports/index.html. Wraps…
Generate tailored AI agent instruction files via AgentRC instructions command. Produces .github/copilot-instructions.md (default,…
Help the user pick, write, or apply an AgentRC policy. Policies customise readiness scoring by disabling irrelevant checks,…
Use this skill when the user shares ad campaign performance data and asks what to cut, scale, or test. Trigger for prompts like…
Add educational comments to the file specified, or prompt asking for file to comment if one is not provided.
Behavioral guidelines to reduce common LLM coding mistakes. Use when writing, reviewing, or refactoring code to avoid…
Design and build AI agents for any domain. Use when users: (1) ask to "create an agent", "build an assistant", or "design an AI…