create-pr

marcelorodrigo/agent-skills · updated Apr 8, 2026

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$npx skills add https://github.com/marcelorodrigo/agent-skills --skill create-pr
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summary

Create pull requests following the best engineering practices.

skill.md

Create Pull Request

Create pull requests following the best engineering practices.

Requires: GitHub CLI (gh) authenticated and available.

Prerequisites

Before creating a PR, ensure all changes are committed. If there are uncommitted changes, run the commit skill skill({ name: "conventional-commit" }) first to commit them properly.

# Check for uncommitted changes
git status --porcelain

If the output shows any uncommitted changes (modified, added, or untracked files that should be included), invoke the commit skill skill({ name: "conventional-commit" }) before proceeding.

Process

Step 1: Verify Branch State

# Detect the default branch
BASE=$(gh repo view --json defaultBranchRef --jq '.defaultBranchRef.name')

# Check current branch and status
git status
git log $BASE..HEAD --oneline

Ensure:

  • All changes are committed
  • Branch is up to date with remote
  • Changes are rebased on the base branch if needed

Step 2: Analyze Changes

Review what will be included in the PR:

# See all commits that will be in the PR
git log $BASE..HEAD

# See the full diff
git diff $BASE...HEAD

Understand the scope and purpose of all changes before writing the description.

Step 3: Write the PR Description

Use this structure for PR descriptions (ignoring any repository PR templates):

<brief description of what the PR does>

<why these changes are being made - the motivation>

<alternative approaches considered, if any>

<any additional context reviewers need>

Do NOT include:

  • "Test plan" sections
  • Checkbox lists of testing steps
  • Redundant summaries of the diff

Do include:

  • Clear explanation of what and why
  • Links to relevant issues or tickets (only if available)
  • Context that isn't obvious from the code
  • Notes on specific areas that need careful review

Step 4: Create the PR

gh pr create --draft --title "<type>(<scope>): <description>" --body "
<description body here>
"

Title format follows commit conventions:

  • feat(scope): Add new feature
  • fix(scope): Fix the bug
  • refactor(scope): Refactor something

PR Description Examples

Feature PR

Add Slack thread replies for alert notifications

When an alert is updated or resolved, we now post a reply to the original
Slack thread instead of creating a new message. This keeps related
notifications grouped and reduces channel noise.

Previously considered posting edits to the original message, but threading
better preserves the timeline of events and works when the original message
is older than Slack's edit window.

Bug Fix PR

Handle null response in user API endpoint

The user endpoint could return null for soft-deleted accounts, causing
dashboard crashes when accessing user properties. This adds a null check
and returns a proper 404 response.

Refactor PR

Extract validation logic to shared module

Moves duplicate validation code from the alerts, issues, and projects
endpoints into a shared validator class. No behavior change.

This prepares for adding new validation rules without
duplicating logic across endpoints.

Guidelines

  • One PR per feature/fix - Don't bundle unrelated changes
  • Keep PRs reviewable - Smaller PRs get faster, better reviews
  • Explain the why - Code shows what; description explains why
  • Mark WIP early - Use draft PRs for early feedback

Editing Existing PRs

When updating a PR after creation, the skill automatically selects the best approach based on your GitHub CLI version:

  • gh 2.82.1+: Uses native gh pr edit (clean, full-featured)
  • gh < 2.82.1: Falls back to gh api (avoids Projects classic deprecation bug)

Check Your Version

# Check GitHub CLI version
gh --version

Modern Approach (gh 2.82.1+)

# Update PR description
gh pr edit PR_NUMBER --body "Updated description here"

# Update PR title
gh pr edit PR_NUMBER --title "New Title here"

# Update both
gh pr edit PR_NUMBER --title "new: Title" --body "New description"

Legacy Fallback (gh < 2.82.1)

If gh pr edit fails with a "Projects (classic) is being deprecated" error, use the API directly:

# Update PR description
gh api -X PATCH repos/{owner}/{repo}/pulls/PR_NUMBER -f body="
Updated description here
"

# Update PR title
gh api -X PATCH repos/{owner}/{repo}/pulls/PR_NUMBER -f title='New Title here'

# Update both
gh api -X PATCH repos/{owner}/{repo}/pulls/PR_NUMBER \
  -f title='new: Title' \
  -f body='New description'

Note: The Projects (classic) bug was fixed in gh 2.82.1 (October 2025). Upgrade with your package manager if you're on an older version.

how to use create-pr

How to use 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 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/marcelorodrigo/agent-skills --skill create-pr

The skills CLI fetches create-pr from GitHub repository marcelorodrigo/agent-skills 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/create-pr

Reload or restart Cursor to activate create-pr. Access the skill through slash commands (e.g., /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)
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general reviews

Ratings

4.630 reviews
  • Naina Flores· Dec 24, 2024

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

  • Amina Perez· Dec 12, 2024

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

  • Kabir Iyer· Dec 4, 2024

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

  • Kabir Srinivasan· Nov 15, 2024

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

  • Amelia Brown· Oct 6, 2024

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

  • Aisha Kim· Sep 25, 2024

    I recommend create-pr for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Sakshi Patil· Sep 21, 2024

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

  • Sofia Harris· Sep 17, 2024

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

  • Rahul Santra· Sep 1, 2024

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

  • Pratham Ware· Aug 20, 2024

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

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