mastering-github-cli
GitHub CLI (gh) command reference for repository search, code discovery, CI/CD monitoring, workflow authoring, and automation. Triggers on "gh" commands, "github cli", searching repos for files/directories (.skilz, .cursor, .codex, Dockerfile), monitoring GitHub Actions workflows, checking PR CI status, downloading artifacts, creating PRs/issues/repos from command line, triggering workflows, forking repos, batch operations, "write a workflow", "github actions", "CI/CD pipeline", "workflow yam...
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Installation for Agentic Skill
View all platforms →skilz install SpillwaveSolutions/mastering-github-agent-skill/mastering-github-cliskilz install SpillwaveSolutions/mastering-github-agent-skill/mastering-github-cli --agent opencodeskilz install SpillwaveSolutions/mastering-github-agent-skill/mastering-github-cli --agent codexskilz install SpillwaveSolutions/mastering-github-agent-skill/mastering-github-cli --agent geminiFirst time? Install Skilz: pip install skilz
Works with 14 AI coding assistants
Cursor, Aider, Copilot, Windsurf, Qwen, Kimi, and more...
Extract and copy to ~/.claude/skills/ then restart Claude Desktop
git clone https://github.com/SpillwaveSolutions/mastering-github-agent-skillcp -r mastering-github-agent-skill ~/.claude/skills/Need detailed installation help? Check our platform-specific guides:
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Agentic Skill Details
- Owner
- SpillwaveSolutions (GitHub)
- Repository
- mastering-github-agent-skill
- Type
- Technical
- Meta-Domain
- development
- Primary Domain
- github
- Market Score
- 100
Agent Skill Grade
A Score: 100/100 Click to see breakdown
Score Breakdown
Areas to Improve
- Workflow-authoring reference too long
- Missing expected output examples
Recommendations
- Add trigger phrases to description for discoverability
- Add table of contents for files over 100 lines
Graded: 2026-01-19
Developer Feedback
I took a look at your mastering-github-cli skill and wanted to share some thoughts.
Links:
The TL;DR
You're at 100/100, A-grade territory. This is based on Anthropic's best practices for agentic skills. Your strongest area is Spec Compliance (15/15) — you've nailed the frontmatter, naming conventions, and description quality. The weakest pillar is Writing Style (9/10), but honestly, that's splitting hairs at this level.
What's Working Well
Two-tier architecture is chef's kiss. Your main SKILL.md (245 lines) links to 6 specialized references instead of dumping everything in one file. That's exactly how Progressive Disclosure should work — agents load what they need, when they need it.
Trigger phrases are comprehensive. You cover the full spectrum: "gh commands", "github cli", "GitHub Actions", "workflow yaml", "matrix builds", "CI/CD monitoring". This means the skill activates for the right use cases.
Dense, command-focused content. Your references avoid fluffy prose — they're tables of commands, flags, and real examples. The search.md, api.md, and automation.md files are tight and scannable.
Strong validation and feedback loops. You document exit codes, rate limit checks,
gh auth statusverification, and include a pre-commit checklist. Agents can actually verify things worked.
The Big One: Workflow-Authoring Length
Your workflow-authoring.md clocks in at 1600 lines, which is a lot to load when an agent only needs a specific pattern (matrix builds, caching, OIDC, etc.). This costs you about 2 points on PDA.
Here's the fix: Split this into two files:
references/workflow-basics.md— Simple workflows, common patterns, caching 101- `references/wor...
AI-Detected Topics
Extracted using NLP analysis
Browse Category
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