create-pr
Create and push PR with auto-generated title and description
Best use case
create-pr is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Create and push PR with auto-generated title and description
Teams using create-pr should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/git-create-pr/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How create-pr Compares
| Feature / Agent | create-pr | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Create and push PR with auto-generated title and description
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Create PR
Create pull request with concise, meaningful description.
## Context
- Current branch: !`git branch --show-current`
- Working tree status: !`git status --short`
- Recent commits: !`git log --oneline -5`
- Remote tracking: !`git rev-parse --abbrev-ref @{upstream} 2>/dev/null || echo "none"`
## Workflow
1. **Verify**: Check `git status` and current branch
2. **Branch Safety**: **CRITICAL** - If on main/master, create descriptive branch from changes
3. **Push**: `git push -u origin HEAD`
4. **Analyze**: `git diff origin/main...HEAD --stat`
5. **Generate PR**:
- Title: One-line summary (max 72 chars)
- Body: Bullet points of key changes
6. **Submit**: `gh pr create --title "..." --body "..."`
7. **Return**: Display PR URL
## PR Format
```markdown
## Summary
• [Main change or feature]
• [Secondary changes]
• [Any fixes included]
## Type
[feat/fix/refactor/docs/chore]
```
## Rules
- NO verbose descriptions
- NO "Generated with" signatures
- Auto-detect base branch (main/master/develop)
- Use HEREDOC for multi-line body
- If PR exists, return existing URL
User: $ARGUMENTSRelated Skills
fix-grammar
Fix grammar and spelling errors in one or multiple files while preserving formatting
symfony-framework
Comprehensive Symfony 6.4 development skill for web applications, APIs, and microservices.
symfony:make
Cherche si il existe un maker Symfony pour faire la tache demandée et l'utilise si il existe. Si aucun maker n'existe alors utilise la slash command "/prepare"
phpstan-resolver
Résout automatiquement les erreurs PHPStan en analysant et corrigeant les problèmes de types. Boucle jusqu'à zéro erreur ou stagnation.
elegant-objects
Vérifie la conformité du code PHP aux principes Elegant Objects de Yegor Bugayenko. Analyse un fichier spécifique ou tous les fichiers modifiés dans la branche.
prompt:validate
Vérifie la checklist avant exécution et liste les oublis
prompt:transform
Transforme un prompt en prompt exécutable compatible avec le Task Management System (TaskCreate/TaskUpdate/TaskList)
prompt:team
Orchestre une équipe d'agents spécialisés pour les tâches complexes. Auto-détecte le type, compose l'équipe, coordonne les phases analyse → challenge → implémentation → QA.
prompt:start
Démarre un développement avec un starter léger puis active le mode plan
apex
Systematic implementation using APEX methodology (Analyze-Plan-Execute-eXamine) with parallel agents, self-validation, and optional adversarial review. Use when implementing features, fixing bugs, or making code changes that benefit from structured workflow.
fix-errors
Fix all ESLint and TypeScript errors with parallel processing using snipper agents
prompt-creator
Expert prompt engineering for creating effective prompts for Claude, GPT, and other LLMs. Use when writing system prompts, user prompts, few-shot examples, or optimizing existing prompts for better performance.