skill-from-github▌
gbsoss/skill-from-masters · updated Apr 8, 2026
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Learn from quality GitHub projects to create custom agent skills.
- ›Guides you through searching GitHub for well-maintained projects (100+ stars, recent updates) that solve a specific problem, then presents top candidates for your review
- ›Walks through a structured deep-dive process: reading READMEs, examining core source files, extracting algorithms and patterns, and identifying best practices
- ›Encodes learned knowledge directly into a new skill via skill-creator, rather than simply wra
Skill from GitHub
When users want to accomplish something, search GitHub for quality projects that solve the problem, understand them deeply, then create a skill based on that knowledge.
When to Use
When users describe a task and you want to find existing tools/projects to learn from:
- "I want to be able to convert markdown to PDF"
- "Help me analyze sentiment in customer reviews"
- "I need to generate API documentation from code"
Workflow
Step 1: Understand User Intent
Clarify what the user wants to achieve:
- What is the input?
- What is the expected output?
- Any constraints (language, framework, etc.)?
Step 2: Search GitHub
Search for projects that solve this problem:
{task keywords} language:{preferred} stars:>100 sort:stars
Search tips:
- Start broad, then narrow down
- Try different keyword combinations
- Include "cli", "tool", "library" if relevant
Quality filters (must meet ALL):
- Stars > 100 (community validated)
- Updated within last 12 months (actively maintained)
- Has README with clear documentation
- Has actual code (not just awesome-list)
Step 3: Present Options to User
Show top 3-5 candidates:
## Found X projects that can help
### Option 1: [project-name](github-url)
- Stars: xxx | Last updated: xxx
- What it does: one-line description
- Why it's good: specific strength
### Option 2: ...
Which one should I dive into? Or should I search differently?
Wait for user confirmation before proceeding.
Step 4: Deep Dive into Selected Project
Once user selects a project, thoroughly understand it:
- Read README - Understand purpose, features, usage
- Read core source files - Understand how it works
- Check examples - See real usage patterns
- Note dependencies - What it relies on
- Identify key concepts - The mental model behind it
Extract:
- Core algorithm/approach
- Input/output formats
- Error handling patterns
- Best practices encoded in the code
Step 5: Summarize Understanding
Present what you learned to user:
## Understanding [project-name]
### Core Approach
How it solves the problem...
### Key Techniques
1. ...
2. ...
### Limitations
- ...
### What I'll encode in the skill
- ...
Does this look right? Should I proceed to create the skill?
Wait for user confirmation.
Step 6: Create Skill via skill-creator
Hand off to skill-creator with:
- Clear purpose - What the skill does
- Methodology - The approach learned from the project
- Step-by-step process - Concrete instructions
- Quality criteria - What good output looks like
- Common pitfalls - What to avoid (learned from project issues/docs)
Important: The skill should encode the knowledge from the project, not just wrap the tool. The skill should work even without the original project installed.
Example
User: "I want to write better commit messages"
Step 2 - Search:
commit message convention stars:>100 sort:stars
Step 3 - Present:
## Found 4 projects
### Option 1: conventional-commits/conventionalcommits.org (4.2k ⭐)
- Specification for human and machine readable commit messages
- Why: Industry standard, used by Angular, Vue, etc.
### Option 2: commitizen/cz-cli (15k ⭐)
- CLI tool for creating conventional commits
- Why: Battle-tested, lots of adapters
### Option 3: carloscuesta/gitmoji (14k ⭐)
- Emoji guide for commit messages
- Why: Visual, fun approach
Which one interests you?
User: "Let's go with conventional commits"
Step 4 - Deep dive:
- Read the specification
- Understand types (feat, fix, docs, etc.)
- Learn about scopes, breaking changes
- Study real-world examples
Step 5 - Summarize:
## Understanding Conventional Commits
### Core Approach
Structured format: <type>(<scope>): <description>
### Key Types
- feat: new feature
- fix: bug fix
- docs: documentation
- ...
### Benefits Learned
- Automated changelog generation
- Semantic versioning
- Clear history
Ready to create a commit message skill based on this?
Step 6 - Create skill with these principles encoded
Important Notes
- Always get user confirmation - At step 3 (project selection) and step 5 (before creating)
- Prefer learning over wrapping - Encode the knowledge, not just "run this tool"
- Check license - Mention if project has restrictive license
- Credit the source - Include attribution in generated skill
- Quality over speed - Take time to truly understand the project
What This Skill is NOT
- NOT a package installer
- NOT a tool wrapper
- It's about learning from the best projects and encoding that knowledge into a reusable skill
How to use skill-from-github on Cursor
AI-first code editor with Composer
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 skill-from-github
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches skill-from-github from GitHub repository gbsoss/skill-from-masters and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate skill-from-github. Access the skill through slash commands (e.g., /skill-from-github) 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
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.Install product management skill
- 2.Start with user story generation for known feature
- 3.Progress to competitive analysis: research 2-3 competitors
- 4.Use for roadmap prioritization: apply RICE/ICE scoring
- 5.Draft stakeholder communications and refine based on feedback
- 6.Build template library for recurring PM tasks
- 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▌
- 1Basic: user stories, feature specs, status updates
- 2Intermediate: competitive analysis, prioritization frameworks, PRDs
- 3Advanced: product strategy, go-to-market planning, OKR setting
- 4Expert: product vision, market positioning, business model innovation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.7★★★★★72 reviews- ★★★★★Yuki Sanchez· Dec 24, 2024
We added skill-from-github from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Kiara Lopez· Dec 12, 2024
skill-from-github has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Chinedu Farah· Dec 8, 2024
skill-from-github fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Maya Iyer· Dec 4, 2024
Solid pick for teams standardizing on skills: skill-from-github is focused, and the summary matches what you get after install.
- ★★★★★Mei Ghosh· Nov 27, 2024
skill-from-github has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Kiara Robinson· Nov 23, 2024
We added skill-from-github from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Hiroshi Gupta· Nov 15, 2024
Solid pick for teams standardizing on skills: skill-from-github is focused, and the summary matches what you get after install.
- ★★★★★Hiroshi Iyer· Nov 3, 2024
skill-from-github fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Yuki Garcia· Oct 22, 2024
We added skill-from-github from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Ren Gonzalez· Oct 18, 2024
Solid pick for teams standardizing on skills: skill-from-github is focused, and the summary matches what you get after install.
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