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Implementing agent skills

Skill yu-iskw/github-project-skills/.cursor/skills/implementing-agent-skills

Specialized Agent Skills to automate GitHub workflows using the GitHub CLI

Install
npx -y skills add yu-iskw/github-project-skills --skill implementing-agent-skills

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

2 things to look at

  • no licenseNo license file was found in the repository. Code published without one is not open source by default, so using it at work is a question for whoever answers licensing questions where you are.
  • 6 stars6 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

What its author says it does

Copied from the file, not written here

Implements new Agent Skills for the project. Identifies the AI coding tool (Cursor, Claude Code, Gemini CLI), ensures specification compliance, and provides specialized templates. Use when creating, authoring, or adding a new skill, or when the user asks about Agent Skills format or SKILL.md.

SKILL.md

5.5 KB, as published. Nobody here has run it

Implementing Agent Skills

Purpose

This skill implements new Agent Skills by identifying the target AI coding tool, ensuring specification compliance, and applying templates and best practices so the created skill is compatible with the user's workflow.

Implementation Workflow

Copy this checklist and track progress:

Implementation Progress:
- [ ] Step 1: Identify AI coding tool
- [ ] Step 2: Choose or create skill directory (name matches frontmatter)
- [ ] Step 3: Select template and adapt frontmatter (name, description)
- [ ] Step 4: Write instructions; keep SKILL.md under 500 lines
- [ ] Step 5: Add references/assets as needed; keep links one level deep
- [ ] Step 6: Validate (YAML, skills-ref if available, keyword-rich description)

1. Identify AI Coding Tool

Check the project for indicators of AI coding tools:

  • Cursor: Presence of .cursor/ directory, .cursorrules, or .cursorignore.
  • Claude Code: Presence of .claude/ directory or claude.json.
  • Gemini CLI: Presence of gemini.json or specific environment variables.

Logic

  1. Scan the workspace root for these indicators.
  2. Analyze the findings:
    • If one tool is detected -> Proceed with that tool as the target.
    • If multiple tools are detected -> Ask the user which tool to target.
    • If no tools are detected -> Ask the user to specify the tool.

2. Interaction Strategy

If you need to ask the user, use the AskQuestion tool if available, or ask conversationally.

Example Question: "I detected multiple AI coding tools (Cursor and Claude Code). Which one should I target for this Agent Skill?"

  • Cursor
  • Claude Code
  • Gemini CLI

3. Implementation Context

Once the tool is identified, tailor the Agent Skill implementation accordingly:

  • Cursor:

    • Target: .cursor/skills/ (project) or ~/.cursor/skills/ (global).
    • Format: Standard SKILL.md with YAML frontmatter.
  • Claude Code:

    • Target: .claude/skills/ (project) or ~/.claude/skills/ (global).
    • Format: Follow Claude Code skill conventions.
  • Gemini CLI:

    • Follow Gemini CLI specific skill structure.

4. Standards & Templates

When implementing a new skill, always follow the established best practices and select the most appropriate template as a starting point.

Specification Compliance

Ensure the skill follows the official Agent Skills specification:

  • Naming: Directory and name in frontmatter must match; use gerund form (e.g. processing-pdfs, implementing-agent-skills). Lowercase letters, numbers, and hyphens only; no leading/trailing hyphens or consecutive hyphens.
  • Description: Write in third person; describe what the skill does and when to use it; include keywords for discovery (max 1024 characters).
  • Frontmatter: Include required name and description. Add optional license, compatibility, metadata, allowed-tools if applicable.
  • Structure: Keep SKILL.md under 500 lines. Use scripts/, references/, and assets/ for progressive disclosure; keep file references one level deep from SKILL.md.

Validation

Before completing the task:

  1. Check Syntax: Verify YAML frontmatter is valid.
  2. Validate: If the skills-ref tool is available, run skills-ref validate ./<skill-directory>.
  3. Manual Review: Ensure the description is keyword-rich for discovery.

Best Practices

See references/best-practices.md for detailed naming, description, and progressive disclosure standards.

Available Templates

Select the template that best matches the skill's purpose:

TemplatePatternPurpose
generic.md(any)Standard boilerplate for any skill.
cli-tool-wrapper.mdtool-wrapperWrapping CLI tools with help checks and safety.
sop-workflow.mdpipelineChecklists and SOPs for hybrid/manual processes.
library-upgrade.mdpipelineSafe, multi-step dependency upgrades.
code-review.mdreviewerReviewing code against project standards.
security-audit.mdreviewerSystematic vulnerability scanning and reporting.
fixer-loop.mdpipelineAutonomous "test-analyze-fix" loops (TDD/Lint).
docs-sync.mdgeneratorKeeping documentation in sync with source code.
inversion.mdinversionInterview-first workflows requiring upfront user input.

Keep looking

Skills are one crate of 328,083. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.