Agent skill

ai-assisted-operations

AI-powered issue operations via gh-models. TRIGGERS - issue summarization, auto-labeling, issue insights.

majiayu000github.com/majiayu000GitHub ↗
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill ai-assisted-operations-terrylica-claude-code-skills-g-2 --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 6 KB
Bundled scripts: none
Path: skills/ai-llm/ai-assisted-operations-terrylica-claude-code-skills-g-2/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# AI-Powered Issue Operations **Capability:** AI-assisted issue summarization, auto-labeling, Q&A, and documentation generation using gh-models **When to use:** Leveraging LLMs for intelligent issue processing and automation **Installation Required:** `gh extension install github/gh-models` --- ## Quick Start ### List Available Models ```bash # Show all 29+ models gh models list # Popular models for issue operations: # - openai/gpt-4.1 # - openai/gpt-4o-mini # - anthropic/claude-3.5-sonnet ``` ### Basic Usage ```bash # Run AI model gh models run "openai/gpt-4.1" "Your prompt here" # With multi-line prompt gh models run "openai/gpt-4.1" "$(cat <<'EOF' Analyze this issue and suggest improvements: - Title clarity - Completeness - Priority assessment EOF )" ``` --- ## Common Workflows ### 1. Issue Summarization (88% effectiveness) ```bash # Get issue content ISSUE_BODY=$(gh issue view 123 --json body --jq .body) # Summarize gh models run "openai/gpt-4.1" "$(cat <<'EOF' Summarize this issue in 2-3 bullet points: $ISSUE_BODY EOF )" ``` **Use Case:** Creating concise summaries for long issues, weekly reports --- ### 2. Auto-Label Suggestion (89% effectiveness) ```bash # Get issue content

What's inside
Steps it walks through
  1. Quick Start
  2. List Available Models
  3. Basic Usage
  4. Common Workflows
  5. 1. Issue Summarization (88% effectiveness)
  6. 2. Auto-Label Suggestion (89% effectiveness)
  7. 3. Issue Q&A (91% effectiveness)
  8. 4. Documentation Generation (86% effectiveness)
  9. 5. Issue Classification
  10. Effectiveness Metrics (Empirical Testing)
  11. Model Selection
  12. Best Practices
  13. Limitations
  14. Integration Example: Auto-Triage Workflow
Ships with 1 file
  • metadata.json
Commands it runs
Show all 29+ models
gh models list
Popular models for issue operations:
Run AI model
gh models run "openai/gpt-4.1" "Your prompt here"
With multi-line prompt
gh models run "openai/gpt-4.1" "$(cat <<'EOF'
Get issue content
Summarize
Available labels
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About this skill
What does the ai-assisted-operations skill do?

AI-powered issue operations via gh-models. TRIGGERS - issue summarization, auto-labeling, issue insights.

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill ai-assisted-operations-terrylica-claude-code-skills-g-2 --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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