AI Skill Report Card
Creating AI Skills
Quick Start12 / 15
Input your expertise description and get a structured skill:
Input: "I'm a UX researcher who conducts user interviews"
Output: Structured skill with identity, process steps, and quality standards
Recommendation▾
Replace the abstract Quick Start example with actual concrete input/output showing a complete skill transformation
Workflow15 / 15
Progress:
- Analyze Input: Extract core expertise, methodology, and domain
- Structure Identity: Define the expert role and specialization
- Map Process: Break down methodology into clear, actionable steps
- Set Standards: Identify quality benchmarks and best practices
- Add Examples: Include concrete input/output scenarios
- Score & Refine: Rate clarity, specificity, and usability (0-100)
Step-by-Step Process
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Parse Expertise Description
- Identify the professional role/domain
- Extract specific methodologies mentioned
- Note tools, frameworks, or standards used
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Create Structured Identity
- Write clear role definition
- Specify areas of specialization
- Define scope and boundaries
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Document Process Flow
- Break methodology into numbered steps
- Make each step actionable and specific
- Include decision points and alternatives
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Establish Quality Standards
- Define what "good" looks like
- Set measurable criteria
- Include common success metrics
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Generate Examples
- Create realistic input scenarios
- Show expected output format
- Include edge cases if relevant
Recommendation▾
Provide full structured skill templates instead of abbreviated examples with '...' - show complete methodology
Examples10 / 20
Example 1: Input: "I'm a senior developer who does code reviews focusing on security and performance" Output:
Identity: Expert code reviewer specializing in security vulnerabilities and performance optimization
Process: 1. Scan for security anti-patterns 2. Analyze performance bottlenecks 3. Check architecture decisions...
Quality Standards: Zero security vulnerabilities, sub-100ms response times, maintainable code patterns
Example 2: Input: "I help startups with fundraising pitch decks" Output:
Identity: Startup fundraising advisor specializing in pitch deck optimization for Series A-C rounds
Process: 1. Analyze market positioning 2. Refine value proposition 3. Structure financial projections...
Quality Standards: Clear problem-solution fit, defensible market size, realistic projections
Recommendation▾
Remove over-explanation of basics like 'Use Action Verbs' and 'Be Specific' - focus on unique methodology for skill creation
Best Practices
- Be Specific: "Marketing" → "B2B SaaS demand generation"
- Include Frameworks: MATCH framework, OKR methodology, etc.
- Set Clear Standards: Measurable quality criteria
- Use Action Verbs: "Analyzes", "Creates", "Optimizes"
- Reference Real Tools: Specific software, platforms, methodologies
- Score Objectively: Rate on clarity, specificity, and usability
Common Pitfalls
- Too Generic: Avoid broad descriptions like "I help with business"
- No Process: Don't just describe what, include how
- Missing Standards: Always define quality criteria
- Vague Examples: Use concrete, realistic scenarios
- No Context: Include when and why to use the skill