skills/create-pull-request/SKILL.md
Use this skill when preparing GitHub pull requests with clear summaries, scoped changes, test plans, reviewer context, risk notes, and links to relevant issues or evidence.
npx skillsauth add chatandbuild/skills-repo Create Pull RequestInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Create a reviewer-ready pull request that explains intent, impact, and validation in a clear, compact format.
auth: fix token refresh race, api: add pagination to list endpoint.Fixes #123 or Related to #45 so reviewers and automation can trace context.Use this template:
## Summary
- <1-3 bullets describing intent and impact>
## Related Issues
- Fixes #<issue> / Related to #<issue>
## Changes
- <key implementation changes>
## Dependencies
- <other PRs, deployments, or config changes required, or "None">
## Test Plan
- [ ] <test step 1>
- [ ] <test step 2>
## Screenshots / UI (if applicable)
- <description or link to before/after>
## Risks
- <known risk or "None identified">
## Rollback
- <rollback action or "Revert PR">
tools
Use only when the user explicitly asks to stage, commit, push, and open a GitHub pull request in one flow using the GitHub CLI (`gh`).
development
Use this skill any time a spreadsheet file is the primary input or output. This means any task where the user wants to: open, read, edit, or fix an existing .xlsx, .xlsm, .csv, or .tsv file (e.g., adding columns, computing formulas, formatting, charting, cleaning messy data); create a new spreadsheet from scratch or from other data sources; or convert between tabular file formats. Trigger especially when the user references a spreadsheet file by name or path — even casually (like "the xlsx in my downloads") — and wants something done to it or produced from it. Also trigger for cleaning or restructuring messy tabular data files (malformed rows, misplaced headers, junk data) into proper spreadsheets. The deliverable must be a spreadsheet file. Do NOT trigger when the primary deliverable is a Word document, HTML report, standalone Python script, database pipeline, or Google Sheets API integration, even if tabular data is involved.
development
Use this skill when turning messy workout information into clear logs, comparing user-provided sessions, surfacing trends or likely PRs, and suggesting realistic next-session steps.
tools
Toolkit for interacting with and testing local web applications using Playwright. Supports verifying frontend functionality, debugging UI behavior, capturing browser screenshots, and viewing browser logs.