Automate creation of new CLI skills following Anthropic standards with zero manual setup.
Works with
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
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionskill-creatorExecute the skills CLI command in your project's root directory to begin installation:
Fetches skill-creator from sickn33/antigravity-awesome-skills and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate skill-creator. Access via /skill-creator in your agent's command palette.
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 environment. Always review source, verify the publisher, and test in isolation before production.
Submit your Claude Code skill and start earning
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
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
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
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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.
This skill should be used when:
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:
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:
Display the progress bar using:
echo "[████░░░░░░░░░░░░░░] 20% - Step 1/5: 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)
When should it trigger? (Provide 3-5 trigger phrases)
What type of skill is this?
Which platforms should support this skill?
Provide a one-sentence description (will appear in metadata)
Capture responses and prepare for next phase.
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?"
If Yes:
If No or prompt-engineer unavailable:
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/$SKILL_NAME"/{references,examples,scripts}
fi
Apply templates:
SKILL.md - Use appropriate template:
skill-template-copilot.md, skill-template-claude.md, or skill-template-codex.md{{SKILL_NAME}} → kebab-case name{{DESCRIPTION}} → one-line description{{TRIGGERS}} → comma-separated trigger phrases{{PURPOSE}} → detailed purpose from brainstorming{{AUTHOR}} → from git config{{DATE}} → current date (YYYY-MM-DD){{VERSION}} → "1.0.0"README.md - Use readme-template.md:
References/ (optional but recommended):
detailed-guide.md for extended documentation (2k-5k words)File creation commands:
# Apply template with substitution
sed "s/{{SKILL_NAME}}/$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/Make data-driven prioritization decisions faster
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
Prerequisites
Time Estimate
30-60 minutes to see productivity improvements
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ 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.
sickn33/antigravity-awesome-skills
mattpocock/skills
parcadei/continuous-claude-v3
cursor/plugins
ailabs-393/ai-labs-claude-skills
ailabs-393/ai-labs-claude-skills
Useful defaults in skill-creator — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
Registry listing for skill-creator matched our evaluation — installs cleanly and behaves as described in the markdown.
skill-creator fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
skill-creator is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
We added skill-creator from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
Keeps context tight: skill-creator is the kind of skill you can hand to a new teammate without a long onboarding doc.
Keeps context tight: skill-creator is the kind of skill you can hand to a new teammate without a long onboarding doc.
We added skill-creator from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
We added skill-creator from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
skill-creator fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
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