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mastering-github-cli

100.0
A

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 yaml", and "matrix builds". Use for gh search, gh run, gh pr, gh issue, gh repo, gh workflow, gh api, workflow authoring, and automating GitHub operations.

#workflow authoring#GitHub CLI#workflow#GitHub Actions#GitHub#Find repos#references#monitoring.md references

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Installation for Agentic Skill

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skilz install SpillwaveSolutions/mastering-github-agent-skill/mastering-github-cli
skilz install SpillwaveSolutions/mastering-github-agent-skill/mastering-github-cli --agent opencode
skilz install SpillwaveSolutions/mastering-github-agent-skill/mastering-github-cli --agent codex
skilz install SpillwaveSolutions/mastering-github-agent-skill/mastering-github-cli --agent gemini

First time? Install Skilz: pip install skilz

Works with 22+ AI coding agents

Cursor, Aider, Copilot, Windsurf, Qwen, Kimi, and more...

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Download Agent Skill ZIP

Extract and copy to ~/.claude/skills/ then restart Claude Desktop

1. Clone the repository:
git clone https://github.com/SpillwaveSolutions/mastering-github-agent-skill
2. Copy the agent skill directory:
cp -r mastering-github-agent-skill ~/.claude/skills/

Need detailed installation help? Check our platform-specific guides:

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Agentic Skill Details

Type
Technical
Meta-Domain
development
Primary Domain
github
Market Score
100.0

Agent Skill Grade

A
Score: 100/100 Click to see breakdown

Score Breakdown

Spec Compliance
15/15
PDA Architecture
28/30
Ease of Use
23/25
Writing Style
9/10
Utility
19/20
Modifiers: +8

Areas to Improve

  • The workflow-authoring.md at 1600 lines is comprehensive but agents may load excessive context when only needing a specific pattern
  • Commands show syntax but rarely show expected output, making verification harder

Recommendations

  • Add trigger phrases to description for discoverability
  • Add table of contents for files over 100 lines

Graded: 1/18/2026

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 status verification, 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/workflow-advanced.md — Matrix builds, OIDC, reusable workflows, secrets handling

Then in SKILL.md, link to specific sections with anchors: workflow-basics.md#caching so agents can jump straight to what they need. This reduces context bloat while keeping the depth.

Impact: +2 points (gets you the missing PDA points + improves Utility with better focused examples).

Other Things Worth Fixing

  1. Add expected output examples. Commands like gh run list --json status don't show what the JSON actually looks like. Add # Output: comments with sample results so agents can verify they're parsing correctly.

  2. Workflow-authoring TOC needs anchors. At 1600 lines, that file needs granular section links in SKILL.md. Right now agents have to scroll through the whole thing to find "ephemeral environment setup" or "OIDC configuration."

  3. Missing multi-step operation checklists. You have a pre-commit checklist, which is great. But complex workflows like "set up a new repository with branch protection and CI/CD" need step-by-step validation checklists too.

Quick Wins

  1. Split workflow-authoring.md into basics/advanced (+2 points)
  2. Add sample output to major commands (+1 point)
  3. Add section anchors to SKILL.md for the 1600-line reference (+1 point)
  4. Add validation checklists for multi-step workflows (+1 point)

These four changes would push you toward 105+ territory if the scale allowed it.


Checkout your skill here: SkillzWave.ai | SpillWave We have an agentic skill installer that installs skills in 14+ coding agent platforms. Check out this guide on how to improve your agentic skills.

AI-Detected Topics

Extracted using NLP analysis

workflow authoring GitHub CLI workflow GitHub Actions GitHub Find repos references monitoring.md references Actions workflow command reference

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