skills/bug-reproduction-brief/SKILL.md
Turn a vague, intermittent, or environment-specific bug report into a minimal evidence-backed reproduction before proposing a fix.
npx skillsauth add williamlimasilva/.copilot bug-reproduction-briefInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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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.
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