git:create-pr

neolabhq/context-engineering-kit · updated Apr 8, 2026

MDX-style export adds YAML metadata + attribution linking explainx.ai and this canonical listing URL.

$npx skills add https://github.com/neolabhq/context-engineering-kit --skill git:create-pr
0 commentsdiscussion
summary

This guide explains how to create pull requests using GitHub CLI in our project.

skill.md

How to Create a Pull Request Using GitHub CLI

This guide explains how to create pull requests using GitHub CLI in our project.

Important: All PR titles and descriptions should be written in English.

Prerequisites

Check if gh is installed, if not follow this instruction to install it:

  1. Install GitHub CLI if you haven't already:

    # macOS
    brew install gh
    
    # Windows
    winget install --id GitHub.cli
    
    # Linux
    # Follow instructions at https://github.com/cli/cli/blob/trunk/docs/install_linux.md
    
  2. Authenticate with GitHub:

    gh auth login
    

Pre-flight Checks

Before creating a PR, check for uncommitted changes:

  1. Run git status to check for uncommitted changes (staged, unstaged, or untracked files)
  2. If uncommitted changes exist, use the Skill tool to run the git:commit command first:
    Skill: git:commit
    
  3. This ensures all your work is committed before creating the PR

Creating a New Pull Request

  1. First, prepare your PR description following the template in @.github/pull_request_template.md

  2. Use the gh pr create --draft command to create a new pull request:

    # Basic command structure
    gh pr create --draft --title "✨(scope): Your descriptive title" --body "Your PR description" --base main 
    

    For more complex PR descriptions with proper formatting, use the --body-file option with the exact PR template structure:

    # Create PR with proper template structure
    gh pr create --draft --title "✨(scope): Your descriptive title" --body-file .github/pull_request_template.md --base main
    

Best Practices

  1. Language: Always use English for PR titles and descriptions

  2. PR Title Format: Use conventional commit format with emojis

    • Always include an appropriate emoji at the beginning of the title
    • Use the actual emoji character (not the code representation like :sparkles:)
    • Examples:
      • ✨(supabase): Add staging remote configuration
      • 🐛(auth): Fix login redirect issue
      • 📝(readme): Update installation instructions
  3. Description Template: Always use our PR template structure from @.github/pull_request_template.md:

  4. Template Accuracy: Ensure your PR description precisely follows the template structure:

    • Don't modify or rename the PR-Agent sections (pr_agent:summary and pr_agent:walkthrough)
    • Keep all section headers exactly as they appear in the template
    • Don't add custom sections that aren't in the template
  5. Draft PRs: Start as draft when the work is in progress

    • Use --draft flag in the command
    • Convert to ready for review when complete using gh pr ready

Common Mistakes to Avoid

  1. Using Non-English Text: All PR content must be in English
  2. Incorrect Section Headers: Always use the exact section headers from the template
  3. Adding Custom Sections: Stick to the sections defined in the template
  4. Using Outdated Templates: Always refer to the current @.github/pull_request_template.md file

Missing Sections

Always include all template sections, even if some are marked as "N/A" or "None"

Additional GitHub CLI PR Commands

Here are some additional useful GitHub CLI commands for managing PRs:

# List your open pull requests
gh pr list --author "@me"

# Check PR status
gh pr status

# View a specific PR
gh pr view <PR-NUMBER>

# Check out a PR branch locally
gh pr checkout <PR-NUMBER>

# Convert a draft PR to ready for review
gh pr ready <PR-NUMBER>

# Add reviewers to a PR
gh pr edit <PR-NUMBER> --add-reviewer username1,username2

# Merge a PR
gh pr merge <PR-NUMBER> --squash

Using Templates for PR Creation

To simplify PR creation with consistent descriptions, you can create a template file:

  1. Create a file named pr-template.md with your PR template
  2. Use it when creating PRs:
gh pr create --draft --title "feat(scope): Your title" --body-file pr-template.md --base main

Related Documentation

how to use git:create-pr

How to use git:create-pr on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add git:create-pr
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/neolabhq/context-engineering-kit --skill git:create-pr

The skills CLI fetches git:create-pr from GitHub repository neolabhq/context-engineering-kit and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/git:create-pr

Reload or restart Cursor to activate git:create-pr. Access the skill through slash commands (e.g., /git:create-pr) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

List & Monetize Your Skill

Submit your Claude Code skill and start earning

GET_STARTED →

Use Cases

User Story & Requirements Generation

Create detailed user stories, acceptance criteria, and feature specs

Example

Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios

Reduce spec writing time by 50%, ensure comprehensive coverage

Competitive Analysis

Research competitors, compare features, identify gaps

Example

Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities

Complete competitive research in 2 hours instead of 2 days

Roadmap Prioritization

Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs

Example

Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale

Make data-driven prioritization decisions faster

Stakeholder Communication

Draft PRDs, status updates, and stakeholder presentations

Example

Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement

Save 3-5 hours/week on communication overhead

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client
  • Access to product documentation and roadmap tools (Jira, Notion, etc.)
  • Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
  • Stakeholder contact information and communication channels

Time Estimate

30-60 minutes to see productivity improvements

Installation Steps

  1. 1.Install product management skill
  2. 2.Start with user story generation for known feature
  3. 3.Progress to competitive analysis: research 2-3 competitors
  4. 4.Use for roadmap prioritization: apply RICE/ICE scoring
  5. 5.Draft stakeholder communications and refine based on feedback
  6. 6.Build template library for recurring PM tasks
  7. 7.Share effective prompts with product team

Common Pitfalls

  • Not validating competitive research—verify facts before sharing
  • Accepting user stories without involving engineering team
  • Over-relying on frameworks without qualitative judgment
  • Not customizing outputs to company culture and communication style
  • Skipping stakeholder validation of generated requirements

Best Practices

✓ Do

  • +Validate research and competitive analysis with real data
  • +Collaborate with engineering when generating technical requirements
  • +Customize frameworks and templates to your company context
  • +Use skill for first drafts, refine with stakeholder input
  • +Document successful prompt patterns for PM tasks
  • +Combine AI efficiency with human judgment and intuition

✗ Don't

  • Don't publish competitive analysis without fact-checking
  • Don't finalize user stories without engineering review
  • Don't make prioritization decisions solely on AI scoring
  • Don't skip customer validation of generated requirements
  • Don't ignore company-specific context and culture

💡 Pro Tips

  • Provide context: company goals, constraints, customer feedback
  • Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
  • Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
  • Use skill for 70% generation + 30% customization to company needs

When to Use This

✓ Use When

Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.

✗ Avoid When

Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.

Learning Path

  1. 1Basic: user stories, feature specs, status updates
  2. 2Intermediate: competitive analysis, prioritization frameworks, PRDs
  3. 3Advanced: product strategy, go-to-market planning, OKR setting
  4. 4Expert: product vision, market positioning, business model innovation

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.534 reviews
  • Aditi Harris· Dec 24, 2024

    Solid pick for teams standardizing on skills: git:create-pr is focused, and the summary matches what you get after install.

  • Diya Desai· Dec 16, 2024

    git:create-pr reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Shikha Mishra· Dec 4, 2024

    Registry listing for git:create-pr matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Min Dixit· Dec 4, 2024

    We added git:create-pr from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Naina Thomas· Nov 23, 2024

    Keeps context tight: git:create-pr is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Xiao Abbas· Nov 19, 2024

    git:create-pr fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Aanya Huang· Nov 15, 2024

    git:create-pr has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Mateo Smith· Nov 7, 2024

    git:create-pr is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Mateo Harris· Oct 26, 2024

    Useful defaults in git:create-pr — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Amelia Kapoor· Oct 14, 2024

    git:create-pr has been reliable in day-to-day use. Documentation quality is above average for community skills.

showing 1-10 of 34

1 / 4