name: pr version: 1.0.0 description: '[Git] Use when you need to create pull request with standard format.' disable-model-invocation: false
Quick Summary
Goal: Create a pull request with standardized format (summary, test plan, changes list).
Workflow:
- Analyze -- Review all commits and changes on the branch
- Draft -- Create PR title (<70 chars) and body with summary + test plan
- Create -- Push branch and create PR via
gh pr create
Key Rules:
- PR title under 70 characters; use body for details
- Include summary bullets and test plan checklist
- Push to remote with
-uflag before creating PR
Be skeptical. Apply critical thinking, sequential thinking. Every claim needs traced proof, confidence percentages (Idea should be more than 80%).
Create Pull Request: $ARGUMENTS
Create a pull request with the standard project format.
Steps
-
Check current branch status:
- Run
git statusto see all changes - Run
git diffto review modifications - Ensure all changes are committed
- Run
-
Analyze commits:
- Run
git log --oneline -10to see recent commits - Identify all commits to include in the PR
- Run
-
Create PR with standard format:
gh pr create --title "[Type] Brief description" --body "$(cat <<'EOF' ## Summary - Bullet points describing changes ## Changes - List of specific changes made ## Test Plan - [ ] Unit tests added/updated - [ ] Manual testing completed - [ ] No regressions introduced ## Related Issues - Closes #issue_number (if applicable) Generated with Claude Code EOF )" -
PR Title Format:
[Feature]- New functionality[Fix]- Bug fix[Refactor]- Code improvement[Docs]- Documentation only[Test]- Test changes only
Notes
- Ensure branch is pushed before creating PR
- Target branch is usually
developormaster - Add reviewers if specified in $ARGUMENTS
<!-- SYNC:ai-mistake-prevention -->[IMPORTANT] Use
TaskCreateto break ALL work into small tasks BEFORE starting — including tasks for each file read. This prevents context loss from long files. For simple tasks, AI MUST ATTENTION ask user whether to skip.
<!-- /SYNC:ai-mistake-prevention --> <!-- SYNC:critical-thinking-mindset -->AI Mistake Prevention — Failure modes to avoid on every task:
Re-read files after context changes. Context compaction, resume, or long-running work can make memory stale; verify current files before acting. Verify generated content against source evidence. AI hallucinates APIs, names, claims, and document facts. Check the relevant source before documenting or referencing. Check downstream references before deleting or renaming. Removing an artifact can stale docs, generated mirrors, configs, and callers; map references first. Trace the full impact chain after edits. Changing a definition can miss derived outputs and consumers. Follow the affected chain before declaring done. Verify ALL affected outputs, not just the first. One green check is not all green checks; validate every output surface the change can affect. Assume existing values are intentional — ask WHY before changing OR flagging one as a defect. Before changing or reporting a constant, limit, flag, cutoff, wording, or pattern, read nearby context and history, the CALLER's ordering, and 2+ sibling call sites of the same convention. A doc stating WHAT without WHY is missing rationale, not proof of a missing guard. Surface ambiguity before acting — don't pick silently. Multiple valid interpretations require an explicit question or stated assumption with risk. Assert the outcome your system owns, not the intermediate state your infrastructure owns. When verifying async work, assert the final business state — never the delivery/retry bookkeeping held in shared infrastructure that any co-running process can write. Such a check passes when run alone and flakes the moment anything else shares that infrastructure. Keep shared guidance role-relevant. Universal guidance must help every receiving skill or agent; code-specific obligations belong only in code-specific protocols.
<!-- /SYNC:critical-thinking-mindset --> <!-- SYNC:critical-thinking-mindset:reminder -->Critical Thinking Mindset — Apply critical thinking, sequential thinking. Every claim needs traced proof, confidence >80% to act. Anti-hallucination: Never present guess as fact — cite sources for every claim, admit uncertainty freely, self-check output for errors, cross-reference independently, stay skeptical of own confidence — certainty without evidence root of all hallucination.
MUST ATTENTION apply critical + sequential thinking — every claim needs appropriate traced evidence (file:line for repo/code claims; source URL or artifact section for research, product, content, and docs claims); confidence >80% to act, <60% DO NOT recommend. Anti-hallucination: never present guess as fact, admit uncertainty freely, cross-reference independently, stay skeptical of own confidence.
MUST ATTENTION apply AI mistake prevention — verify generated content against evidence, trace downstream references before deleting or renaming, verify all affected outputs, re-read files after context loss, and surface ambiguity before acting.
<!-- /SYNC:ai-mistake-prevention:reminder -->Closing Reminders
Protocols in force (concise digest of the SYNC/shared blocks this skill carries): MUST ATTENTION honor every block below.
- AI Mistake Prevention: verify generated content against evidence, trace downstream references, verify all affected outputs, re-read after context loss, surface ambiguity.
- Critical Thinking: apply critical + sequential thinking; every claim needs traced
file:lineproof, confidence >80% to act.
IMPORTANT MUST ATTENTION break work into small todo tasks using TaskCreate BEFORE starting
IMPORTANT MUST ATTENTION search codebase for 3+ similar patterns before creating new code
IMPORTANT MUST ATTENTION cite file:line evidence for every claim (confidence >80% to act)
IMPORTANT MUST ATTENTION add a final review todo task to verify work quality
[TASK-PLANNING] Before acting, analyze task scope and systematically break it into small todo tasks and sub-tasks using TaskCreate.
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