Agent skill · Documentation

skill-creator

To create new CLI skills following Anthropic's official best practices with zero manual configuration. This skill automates brainstorming, template application, validation, and installation processes while maintaining progressive disclosure patterns and writing style standards.

Nick44,086★ · +407/wk · 1 repos on radarProfile →
claude-codecodexcursorships scriptsMIT
Install
npx skills add sickn33/agentic-awesome-skills --skill skill-creator --agent claude-code

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

Facts
Files in the skill folder: 8
SKILL.md size: 18 KB
Bundled scripts: yes
Path: skills/skill-creator/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 44,414 · +328 this week
Language: Python
Read our review of the source →

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

From the SKILL.md

# skill-creator ## Purpose To create new CLI skills following Anthropic's official best practices with zero manual configuration. This skill automates brainstorming, template application, validation, and installation processes while maintaining progressive disclosure patterns and writing style standards. ## When to Use This Skill This skill should be used when: - User wants to extend CLI functionality with custom capabilities - User needs to create a skill following official standards - User wants to automate repetitive CLI tasks with a reusable skill - User needs to package domain knowledge into a skill format - User wants both local and global skill installation options ## Core Capabilities 1. **Interactive Brainstorming** - Collaborative session to define skill purpose and scope 2. **Prompt Enhancement** - Optional integration with prompt-engineer skill for refinement 3. **Template Application** - Automatic file generation from standardized templates 4. **Validation** - YAML, content, and style checks against Anthropic standards 5. **Installation** - Local repository or global installation with symlinks 6. **Progress Tracking** - Visual gauge showing completion status at each st

What's inside
Steps it walks through
  1. Purpose
  2. When to Use This Skill
  3. Core Capabilities
  4. Step 0: Discovery
  5. Main Workflow
  6. Progress Tracking Guidelines
  7. Phase 1: Brainstorming & Planning
  8. Phase 2: Prompt Enhancement (Optional)
  9. Phase 3: File Generation
  10. Phase 4: Validation
  11. Phase 5: Installation
  12. Phase 6: Completion
  13. Error Handling
  14. Platform Detection Issues
Ships with 7 files
  • LICENSE.txt
  • README.md
  • references/output-patterns.md
  • references/workflows.md
  • scripts/init_skill.py
  • scripts/package_skill.py
  • scripts/quick_validate.py
Commands it runs
Detect available platforms
if command -v gh &>/dev/null && gh copilot --version &>/dev/null 2>&1; then
fi
if [[ -d "$HOME/.claude" ]]; then
if [[ -d "$HOME/.codex" ]]; then
Determine working directory
Check if in cli-ai-skills repository
if [[ ! -d "$SKILLS_REPO/.github/skills" ]]; then
echo "⚠️  Not in cli-ai-skills repository. Creating standalone skill."
Get user info from git config
More from agentic-awesome-skills
All skills →
About this skill
What does the skill-creator skill do?

To create new CLI skills following Anthropic's official best practices with zero manual configuration. This skill automates brainstorming, template application, validation, and installation processes while maintaining progressive disclosure patterns and writing style standards.

How do I install it?

Run `npx skills add sickn33/agentic-awesome-skills --skill skill-creator --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 sickn33/agentic-awesome-skills, a repository with 44,414 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.

Keep going