pr

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:

1. Analyze -- Review all commits and changes on the branch
2. Draft -- Create PR title (<70 chars) and body with summary + test plan
3. 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 -u flag 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

1. Check current branch status:

   • Run git status to see all changes
   • Run git diff to review modifications
   • Ensure all changes are committed

2. Analyze commits:

   • Run git log --oneline -10 to see recent commits
   • Identify all commits to include in the PR

3. 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
   )"
   

4. 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 develop or master
• Add reviewers if specified in $ARGUMENTS

---

[IMPORTANT] Use TaskCreate to 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.

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. Before changing a constant, limit, flag, wording, or pattern, read nearby context and history. Surface ambiguity before acting — don't pick silently. Multiple valid interpretations require an explicit question or stated assumption with risk. Keep shared guidance role-relevant. Universal guidance must help every receiving skill or agent; code-specific obligations belong only in code-specific protocols.

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.

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:line proof, 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.