github-to-skills
This skill automates the conversion of GitHub repositories into fully functional AI skills.
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Install Skill
Run in your terminal
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Installation Guide
How to use github-to-skills 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 machine
- ›Node.js 16+ with npm — verify with
node --version - ›Active project directory where you want to add
github-to-skills
Run the install command
Execute the skills CLI command in your project's root directory to begin installation:
Fetches github-to-skills from kkkkhazix/khazix-skills and configures it for Cursor.
Select Cursor when prompted
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate github-to-skills. Access via /github-to-skills in your agent's command palette.
Security 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 environment. Always review source, verify the publisher, and test in isolation before production.
Documentation
GitHub to Skills Factory
This skill automates the conversion of GitHub repositories into fully functional AI skills.
Core Functionality
- Analysis: Fetches repository metadata (Description, README, Latest Commit Hash).
- Scaffolding: Creates a standardized skill directory structure.
- Metadata Injection: Generates
SKILL.mdwith extended frontmatter (tracking source, version, hash) for future automated management. - Wrapper Generation: Creates a
scripts/wrapper.py(or similar) to interface with the tool.
Usage
Trigger: /GitHub-to-skills <github_url> or "Package this repo into a skill: "
Required Metadata Schema
Every skill created by this factory MUST include the following extended YAML frontmatter in its SKILL.md. This is critical for the skill-manager to function later.
---
name: <kebab-case-repo-name>
description: <concise-description-for-agent-triggering>
# EXTENDED METADATA (MANDATORY)
github_url: <original-repo-url>
github_hash: <latest-commit-hash-at-time-of-creation>
version: <tag-or-0.1.0>
created_at: <ISO-8601-date>
entry_point: scripts/wrapper.py # or main script
dependencies: # List main dependencies if known, e.g., ["yt-dlp", "ffmpeg"]
---
Workflow
- Fetch Info: The agent first runs
scripts/fetch_github_info.pyto get the raw data from the repo. - Plan: The agent analyzes the README to understand how to invoke the tool (CLI args, Python API, etc.).
- Generate: The agent uses the
skill-creatorpatterns to write theSKILL.mdand wrapper scripts, ensuring the extended metadata is present. - Verify: Checks if the commit hash was correctly captured.
Resources
scripts/fetch_github_info.py: Utility to scrape/API fetch repo details (README, Hash, Tags).scripts/create_github_skill.py: Orchestrator to scaffold the folder and write the initial files.
Best Practices for Generated Skills
- Isolation: The generated skill should install its own dependencies (e.g., in a venv or via
uv/pip) if possible, or clearly state them. - Progressive Disclosure: Do not dump the entire repo into the skill. Only include the necessary wrapper code and reference the original repo for deep dives.
- Idempotency: The
github_hashfield allows the futureskill-managerto checkif remote_hash != local_hashto trigger updates.
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
Steps
- 1Install product management skill
- 2Start with user story generation for known feature
- 3Progress to competitive analysis: research 2-3 competitors
- 4Use for roadmap prioritization: apply RICE/ICE scoring
- 5Draft stakeholder communications and refine based on feedback
- 6Build template library for recurring PM tasks
- 7Share 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
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Reviews
- OOmar Garcia★★★★★Dec 28, 2024
github-to-skills reduced setup friction for our internal harness; good balance of opinion and flexibility.
- CCarlos Huang★★★★★Dec 24, 2024
Solid pick for teams standardizing on skills: github-to-skills is focused, and the summary matches what you get after install.
- AAditi Torres★★★★★Dec 16, 2024
We added github-to-skills from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- CChaitanya Patil★★★★★Dec 8, 2024
Registry listing for github-to-skills matched our evaluation — installs cleanly and behaves as described in the markdown.
- PPiyush G★★★★★Nov 27, 2024
Keeps context tight: github-to-skills is the kind of skill you can hand to a new teammate without a long onboarding doc.
- CCarlos Zhang★★★★★Nov 19, 2024
github-to-skills has been reliable in day-to-day use. Documentation quality is above average for community skills.
- AAdvait Mehta★★★★★Nov 7, 2024
github-to-skills fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- HHenry Wang★★★★★Oct 26, 2024
github-to-skills has been reliable in day-to-day use. Documentation quality is above average for community skills.
- SShikha Mishra★★★★★Oct 18, 2024
I recommend github-to-skills for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- DDaniel Rahman★★★★★Oct 10, 2024
github-to-skills fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
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