skill-creator▌
sickn33/antigravity-awesome-skills · updated Apr 8, 2026
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Automate creation of new CLI skills following Anthropic standards with zero manual setup.
- ›Guides users through interactive brainstorming, prompt refinement, file generation, validation, and installation in five phases with visual progress tracking
- ›Generates standardized SKILL.md and README.md files from templates, automatically substituting skill name, description, author, and metadata
- ›Validates YAML frontmatter, content quality, word counts, and writing style against Anthropic best
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
- Interactive Brainstorming - Collaborative session to define skill purpose and scope
- Prompt Enhancement - Optional integration with prompt-engineer skill for refinement
- Template Application - Automatic file generation from standardized templates
- Validation - YAML, content, and style checks against Anthropic standards
- Installation - Local repository or global installation with symlinks
- Progress Tracking - Visual gauge showing completion status at each step
Step 0: Discovery
Before starting skill creation, gather runtime information:
# Detect available platforms
COPILOT_INSTALLED=false
CLAUDE_INSTALLED=false
CODEX_INSTALLED=false
if command -v gh &>/dev/null && gh copilot --version &>/dev/null 2>&1; then
COPILOT_INSTALLED=true
fi
if [[ -d "$HOME/.claude" ]]; then
CLAUDE_INSTALLED=true
fi
if [[ -d "$HOME/.codex" ]]; then
CODEX_INSTALLED=true
fi
# Determine working directory
REPO_ROOT=$(git rev-parse --show-toplevel 2>/dev/null || pwd)
SKILLS_REPO="$REPO_ROOT"
# Check if in cli-ai-skills repository
if [[ ! -d "$SKILLS_REPO/.github/skills" ]]; then
echo "⚠️ Not in cli-ai-skills repository. Creating standalone skill."
STANDALONE=true
fi
# Get user info from git config
AUTHOR=$(git config user.name || echo "Unknown")
EMAIL=$(git config user.email || echo "")
Key Information Needed:
- Which platforms to target (Copilot, Claude, Codex, or all three)
- Installation preference (local, global, or both)
- Skill name and purpose
- Skill type (general, code, documentation, analysis)
Main Workflow
Progress Tracking Guidelines
Throughout the workflow, display a visual progress bar before starting each phase to keep the user informed. The progress bar format is:
[████████████░░░░░░] 60% - Step 3/5: Creating SKILL.md
Format specifications:
- 20 characters wide (use █ for filled, ░ for empty)
- Percentage based on current step (Step 1=20%, Step 2=40%, Step 3=60%, Step 4=80%, Step 5=100%)
- Step counter showing current/total (e.g., "Step 3/5")
- Brief description of current phase
Display the progress bar using:
echo "[████░░░░░░░░░░░░░░] 20% - Step 1/5: Brainstorming & Planning"
Phase 1: Brainstorming & Planning
Progress: Display before starting this phase:
echo "[████░░░░░░░░░░░░░░] 20% - Step 1/5: Brainstorming & Planning"
Display progress:
╔══════════════════════════════════════════════════════════════╗
║ 🛠️ SKILL CREATOR - Creating New Skill ║
╠══════════════════════════════════════════════════════════════╣
║ → Phase 1: Brainstorming [10%] ║
║ ○ Phase 2: Prompt Refinement ║
║ ○ Phase 3: File Generation ║
║ ○ Phase 4: Validation ║
║ ○ Phase 5: Installation ║
╠══════════════════════════════════════════════════════════════╣
║ Progress: ███░░░░░░░░░░░░░░░░░░░░░░░░░░░ 10% ║
╚══════════════════════════════════════════════════════════════╝
Ask the user:
-
What should this skill do? (Free-form description)
- Example: "Help users debug Python code by analyzing stack traces"
-
When should it trigger? (Provide 3-5 trigger phrases)
- Example: "debug Python error", "analyze stack trace", "fix Python exception"
-
What type of skill is this?
- General purpose (default template)
- Code generation/modification
- Documentation creation/maintenance
- Analysis/investigation
-
Which platforms should support this skill?
- GitHub Copilot CLI
- Claude Code
- Codex
- All three (recommended)
-
Provide a one-sentence description (will appear in metadata)
- Example: "Analyzes Python stack traces and suggests fixes"
Capture responses and prepare for next phase.
Phase 2: Prompt Enhancement (Optional)
Progress: Display before starting this phase:
echo "[████████░░░░░░░░░░] 40% - Step 2/5: Prompt Enhancement"
Update progress:
╔══════════════════════════════════════════════════════════════╗
║ ✓ Phase 1: Brainstorming ║
║ → Phase 2: Prompt Refinement [30%] ║
╠══════════════════════════════════════════════════════════════╣
║ Progress: █████████░░░░░░░░░░░░░░░░░░░░░ 30% ║
╚══════════════════════════════════════════════════════════════╝
Ask the user: "Would you like to refine the skill description using the prompt-engineer skill?"
- Yes - Use prompt-engineer to enhance clarity and structure
- No - Proceed with current description
If Yes:
- Check if prompt-engineer skill is available
- Invoke with current description as input
- Review enhanced output with user
- Ask: "Accept enhanced version or keep original?"
If No or prompt-engineer unavailable:
- Proceed with original user input
Phase 3: File Generation
Progress: Display before starting this phase:
echo "[████████████░░░░░░] 60% - Step 3/5: File Generation"
Update progress:
╔══════════════════════════════════════════════════════════════╗
║ ✓ Phase 1: Brainstorming ║
║ ✓ Phase 2: Prompt Refinement ║
║ → Phase 3: File Generation [50%] ║
╠══════════════════════════════════════════════════════════════╣
║ Progress: ███████████████░░░░░░░░░░░░░░░ 50% ║
╚══════════════════════════════════════════════════════════════╝
Generate skill structure:
# Convert skill name to kebab-case
SKILL_NAME=$(echo "$USER_INPUT" | tr '[:upper:]' '[:lower:]' | tr ' ' '-')
# Create directories
if [[ "$PLATFORM" =~ "copilot" ]]; then
mkdir -p ".github/skills/$SKILL_NAME"/{references,examples,scripts}
fi
if [[ "$PLATFORM" =~ "claude" ]]; then
mkdir -p ".claude/skills/$SKILL_NAME"/{references,examples,scripts}
fi
if [[ "$PLATFORM" =~ "codex" ]]; then
mkdir -p ".codex/skills/$SKILL_NAME"/{references,examples,scripts}
fi
Apply templates:
-
SKILL.md - Use appropriate template:
skill-template-copilot.md,skill-template-claude.md, orskill-template-codex.md- Substitute placeholders:
{{SKILL_NAME}}→ kebab-case name{{DESCRIPTION}}→ one-line description{{TRIGGERS}}→ comma-separated trigger phrases{{PURPOSE}}→ detailed purpose from brainstorming{{AUTHOR}}→ from git config{{DATE}}→ current date (YYYY-MM-DD){{VERSION}}→ "1.0.0"
-
README.md - Use
readme-template.md:- User-facing documentation (300-500 words)
- Include installation instructions
- Add usage examples
-
References/ (optional but recommended):
- Create
detailed-guide.mdfor extended documentation (2k-5k words) - Move lengthy content here to keep SKILL.md under 2k words
- Create
File creation commands:
# Apply template with substitution
sed "s/{{SKILL_NAME}}/$SKILL_NAME/g; \
s/{{DESCRIPTION}}/$DESCRIPTION/g; \
s/{{AUTHOR}}/$AUTHOR/g; \
s/{{DATE}}/$(date +%Y-%m-%d)/g" \
resources/templates/skill-template-copilot.md \
> ".github/skills/$SKILL_NAME/SKILL.md"
# Create README
sed "s/{{SKILL_NAME}}/$SKILL_NAME/g" \
resources/templates/readme-template.md \
> ".github/skills/$SKILL_NAME/README.md"
# Apply template for Codex if selected
if [[ "$PLATFORM" =~ "codex" ]]; then
sed "s/{{SKILL_NAME}}/$SKILL_NAME/g; \
s/{{DESCRIPTION}}/$DESCRIPTION/g; \
s/{{AUTHOR}}/$AUTHOR/g; \
s/{{DATE}}/$(date +%Y-%m-%d)/g" \
resources/templates/skill-template-codex.md \
> ".codex/skills/$SKILL_NAME/SKILL.md"
sed "s/{{SKILL_NAME}}/$SKILL_NAME/g" \
resources/templates/readme-template.md \
> ".codex/skills/$SKILL_NAME/README.md"
fi
Display created structure:
✅ Created:
.github/skills/your-skill-name/ (if Copilot selected)
.claude/skills/your-skill-name/How to use skill-creator on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add skill-creator
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches skill-creator from GitHub repository sickn33/antigravity-awesome-skills and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate skill-creator. Access the skill through slash commands (e.g., /skill-creator) or your agent's skill management interface.
Security & Verification Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
List & Monetize Your Skill
Submit your Claude Code skill and start earning
Use Cases▌
User Story & Requirements Generation
Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Competitive Analysis
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Roadmap Prioritization
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
Make data-driven prioritization decisions faster
Stakeholder Communication
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client
- ›Access to product documentation and roadmap tools (Jira, Notion, etc.)
- ›Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
- ›Stakeholder contact information and communication channels
Time Estimate
30-60 minutes to see productivity improvements
Installation Steps
- 1.Install product management skill
- 2.Start with user story generation for known feature
- 3.Progress to competitive analysis: research 2-3 competitors
- 4.Use for roadmap prioritization: apply RICE/ICE scoring
- 5.Draft stakeholder communications and refine based on feedback
- 6.Build template library for recurring PM tasks
- 7.Share effective prompts with product team
Common Pitfalls
- ⚠Not validating competitive research—verify facts before sharing
- ⚠Accepting user stories without involving engineering team
- ⚠Over-relying on frameworks without qualitative judgment
- ⚠Not customizing outputs to company culture and communication style
- ⚠Skipping stakeholder validation of generated requirements
Best Practices▌
✓ Do
- +Validate research and competitive analysis with real data
- +Collaborate with engineering when generating technical requirements
- +Customize frameworks and templates to your company context
- +Use skill for first drafts, refine with stakeholder input
- +Document successful prompt patterns for PM tasks
- +Combine AI efficiency with human judgment and intuition
✗ Don't
- −Don't publish competitive analysis without fact-checking
- −Don't finalize user stories without engineering review
- −Don't make prioritization decisions solely on AI scoring
- −Don't skip customer validation of generated requirements
- −Don't ignore company-specific context and culture
💡 Pro Tips
- ★Provide context: company goals, constraints, customer feedback
- ★Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
- ★Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
- ★Use skill for 70% generation + 30% customization to company needs
When to Use This▌
✓ Use When
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid When
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
Learning Path▌
- 1Basic: user stories, feature specs, status updates
- 2Intermediate: competitive analysis, prioritization frameworks, PRDs
- 3Advanced: product strategy, go-to-market planning, OKR setting
- 4Expert: product vision, market positioning, business model innovation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.6★★★★★50 reviews- ★★★★★Hana Dixit· Dec 24, 2024
Useful defaults in skill-creator — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Kiara Ndlovu· Dec 4, 2024
Registry listing for skill-creator matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Maya Gupta· Nov 23, 2024
skill-creator fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Kabir Thomas· Nov 15, 2024
skill-creator is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Zara Desai· Oct 14, 2024
We added skill-creator from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★William Gill· Oct 6, 2024
Keeps context tight: skill-creator is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Shikha Mishra· Oct 2, 2024
Keeps context tight: skill-creator is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Aditi White· Sep 25, 2024
We added skill-creator from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Yash Thakker· Sep 21, 2024
We added skill-creator from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Kabir Sharma· Sep 17, 2024
skill-creator fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
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