skill-creator▌
skillcreatorai/ai-agent-skills · updated May 7, 2026
MDX-style export adds YAML metadata + attribution linking explainx.ai and this canonical listing URL.
Skills are modular packages that extend Claude's capabilities by providing specialized knowledge, workflows, and tools.
Skill Creator
Skills are modular packages that extend Claude's capabilities by providing specialized knowledge, workflows, and tools.
Core Principles
Concise is Key
The context window is a shared resource. Only add context Claude doesn't already have. Challenge each piece: "Does Claude really need this?"
Anatomy of a Skill
skill-name/
├── SKILL.md (required)
│ ├── YAML frontmatter (name, description)
│ └── Markdown instructions
└── Bundled Resources (optional)
├── scripts/ - Executable code
├── references/ - Documentation
└── assets/ - Templates, images
SKILL.md Format
---
name: my-skill-name
description: A clear description of what this skill does and when to use it
---
# My Skill Name
[Instructions for Claude when this skill is active]
## Examples
- Example usage 1
- Example usage 2
## Guidelines
- Guideline 1
- Guideline 2
Skill Creation Process
Step 1: Understand with Examples
Gather concrete examples of how the skill will be used. Ask:
- "What functionality should this skill support?"
- "What would a user say that should trigger this skill?"
Step 2: Plan Reusable Contents
Analyze examples to identify:
- Scripts: Code that gets rewritten repeatedly
- References: Documentation Claude needs to reference
- Assets: Templates, images for output
Step 3: Initialize
Create the skill directory structure with SKILL.md and resource folders.
Step 4: Implement
- Start with reusable resources (scripts, references, assets)
- Write clear SKILL.md with proper frontmatter
- Test scripts by actually running them
Step 5: Iterate
Use the skill on real tasks, notice struggles, improve.
Progressive Disclosure
Keep SKILL.md under 500 lines. Split content:
# PDF Processing
## Quick start
[code example]
## Advanced features
- **Form filling**: See [FORMS.md](FORMS.md)
- **API reference**: See [REFERENCE.md](REFERENCE.md)
What NOT to Include
- README.md
- INSTALLATION_GUIDE.md
- CHANGELOG.md
- User-facing documentation
Skills are for AI agents, not humans.
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 skillcreatorai/ai-agent-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
4.7★★★★★53 reviews- ★★★★★Sofia Choi· Dec 24, 2024
Keeps context tight: skill-creator is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Hassan Haddad· Dec 20, 2024
skill-creator is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Dhruvi Jain· Dec 16, 2024
skill-creator fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Min Haddad· Dec 12, 2024
skill-creator fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Mateo Sethi· Nov 15, 2024
We added skill-creator from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Aditi Choi· Nov 11, 2024
skill-creator fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Oshnikdeep· Nov 7, 2024
skill-creator is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Min Nasser· Nov 7, 2024
Registry listing for skill-creator matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Jin Rao· Nov 3, 2024
skill-creator is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Hassan Yang· Nov 3, 2024
skill-creator reduced setup friction for our internal harness; good balance of opinion and flexibility.
showing 1-10 of 53