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skills/engineer-skill-creator/SKILL.md
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skills/engineer-skill-creator/SKILL.md
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---
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name: engineer-skill-creator
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description: Transform extracted engineer expertise into an actionable skill with progressive disclosure, allowing agents to find and apply relevant patterns for specific tasks.
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---
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# Engineer Skill Creator
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Transform extracted engineer profiles into ready-to-use skills with progressive disclosure, enabling AI agents to efficiently find and apply the right expertise for any coding task.
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## What This Skill Does
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Takes the output from **engineer-expertise-extractor** and creates a structured, queryable skill that:
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- **Organizes expertise by task type** - Find relevant patterns quickly
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- **Uses progressive disclosure** - Show only what's needed for current task
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- **Provides contextual examples** - Real code samples for specific scenarios
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- **Guides agents intelligently** - Help find the right expertise at the right time
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- **Enables task-specific queries** - "How would they handle authentication?"
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## The Two-Step Process
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### Step 1: Extract (engineer-expertise-extractor)
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```bash
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./extract_engineer.sh senior_dev
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# Output: engineer_profiles/senior_dev/
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```
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### Step 2: Create Skill (THIS SKILL)
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```bash
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./create_expert_skill.sh senior_dev
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# Output: expert-skills/senior-dev-mentor/
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```
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**Result:** A ready-to-use skill that agents can query for specific guidance.
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## Why Progressive Disclosure Matters
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**Without progressive disclosure:**
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- Agent gets all expertise at once (overwhelming)
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- Hard to find relevant information
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- Context limits reached quickly
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- Inefficient and slow
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**With progressive disclosure:**
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- Agent asks specific question
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- Gets only relevant expertise
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- Focused, actionable guidance
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- Efficient use of context
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- Faster, better results
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## Output Structure
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When you create a skill from an engineer profile, you get:
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```
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expert-skills/
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└── [engineer-name]-mentor/
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├── SKILL.md (skill documentation)
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├── query_expertise.sh (interactive query tool)
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├── expertise/
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│ ├── by_task/
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│ │ ├── authentication.md
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│ │ ├── api_design.md
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│ │ ├── database_design.md
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│ │ ├── error_handling.md
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│ │ └── testing.md
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│ ├── by_language/
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│ │ ├── typescript.md
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│ │ ├── python.md
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│ │ └── go.md
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│ ├── by_pattern/
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│ │ ├── dependency_injection.md
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│ │ ├── repository_pattern.md
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│ │ └── factory_pattern.md
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│ └── quick_reference/
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│ ├── coding_style.md
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│ ├── naming_conventions.md
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│ └── best_practices.md
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└── examples/
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├── authentication_service.ts
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├── api_controller.ts
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└── test_example.spec.ts
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```
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## Progressive Disclosure System
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### Query by Task
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**Agent asks:** "How would they implement user authentication?"
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**Skill provides:**
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1. Relevant patterns from `by_task/authentication.md`
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2. Code examples from their auth PRs
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3. Their testing approach for auth
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4. Security considerations they use
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5. Related best practices
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**NOT provided (yet):**
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- Unrelated patterns
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- Database design details
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- Payment processing approach
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- Everything else
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### Query by Language
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**Agent asks:** "Show me their TypeScript coding style"
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**Skill provides:**
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1. TypeScript-specific conventions
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2. Type usage patterns
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3. Interface design approach
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4. Error handling in TS
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5. Real TS examples
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### Query by Pattern
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**Agent asks:** "How do they implement dependency injection?"
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**Skill provides:**
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1. DI pattern from their code
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2. Constructor injection examples
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3. IoC container setup
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4. Testing with DI
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5. When they use it vs when they don't
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## Skill Usage by Agents
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### Basic Query
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```
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"Using the skill expert-skills/senior-dev-mentor/, show me how to
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implement authentication"
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```
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**Skill responds with:**
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- Authentication patterns they use
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- Real code examples
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- Testing approach
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- Security practices
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- Step-by-step guidance
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### Language-Specific Query
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```
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"Using expert-skills/senior-dev-mentor/, write a TypeScript service
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following their style"
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```
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**Skill provides:**
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- TypeScript coding conventions
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- Class structure patterns
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- Type definitions approach
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- Import organization
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- Testing patterns for services
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### Pattern-Specific Query
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```
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"Using expert-skills/senior-dev-mentor/, implement the repository
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pattern as they would"
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```
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**Skill provides:**
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- Their repository pattern implementation
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- Interface definitions
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- Concrete implementation example
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- Testing approach
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- When to use this pattern
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## Created Skill Features
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### 1. Task-Based Navigation
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Expertise organized by common development tasks:
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- Authentication & Authorization
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- API Design
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- Database Design
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- Error Handling
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- Testing Strategies
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- Performance Optimization
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- Security Practices
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- Code Review Guidelines
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### 2. Language-Specific Guidance
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Separate docs for each language they use:
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- Naming conventions per language
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- Language-specific patterns
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- Idiomatic code examples
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- Framework preferences
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### 3. Pattern Library
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Design patterns they commonly use:
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- When to apply each pattern
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- Implementation examples
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- Testing approach
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- Common pitfalls to avoid
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### 4. Quick Reference
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Fast access to essentials:
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- Coding style at a glance
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- Naming conventions cheat sheet
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- Common commands/snippets
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- Review checklist
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### 5. Interactive Query Tool
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Script that helps find expertise:
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```bash
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./query_expertise.sh
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What are you working on?
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1) Authentication
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2) API Design
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3) Database
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4) Testing
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5) Custom query
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Select: 1
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=== Authentication Expertise ===
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[Shows relevant patterns, examples, best practices]
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```
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## How Skills Are Created
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### Input
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Engineer profile from extractor:
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```
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engineer_profiles/senior_dev/
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├── coding_style/
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├── patterns/
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├── best_practices/
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├── architecture/
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├── code_review/
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└── examples/
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```
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### Process
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1. **Analyze profile structure**
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2. **Categorize by task** - Group related expertise
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3. **Extract examples** - Pull relevant code samples
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4. **Create navigation** - Build progressive disclosure system
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5. **Generate queries** - Create query tool
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6. **Package skill** - Ready-to-use skill structure
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### Output
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Skill with progressive disclosure:
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```
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expert-skills/senior-dev-mentor/
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├── SKILL.md
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├── query_expertise.sh
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├── expertise/
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│ ├── by_task/
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│ ├── by_language/
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│ ├── by_pattern/
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│ └── quick_reference/
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└── examples/
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```
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## Example Created Skill
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### Authentication Task Doc
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**File:** `expertise/by_task/authentication.md`
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```markdown
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# Authentication - Senior Dev's Approach
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## Overview
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How senior_dev implements authentication based on 15 PRs analyzed.
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## Preferred Approach
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- JWT-based authentication
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- Refresh token rotation
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- HttpOnly cookies for web
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- Token in headers for mobile/API
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## Implementation Pattern
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### Service Structure
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[Code example from their PR #1234]
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### Token Generation
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[Code example from their PR #5678]
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### Token Validation
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[Code example from their PR #9012]
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## Testing Approach
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- Unit tests for token generation
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- Integration tests for auth flow
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- Security tests for token validation
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[Test examples from their code]
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## Security Considerations
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From their code reviews:
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- Always validate token signature
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- Check expiration
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- Implement rate limiting
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- Use secure random for secrets
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## Common Pitfalls They Avoid
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- Storing tokens in localStorage (XSS risk)
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- Not rotating refresh tokens
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- Weak secret keys
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- Missing token expiration
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## Related Patterns
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- Error handling for auth failures
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- Middleware pattern for auth checks
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- Repository pattern for user lookup
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## Examples
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See: examples/authentication_service.ts
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```
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## Use Cases
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### 1. Consistent Code Generation
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**Problem:** AI generates code that doesn't match team style
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**Solution:**
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```
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"Using expert-skills/senior-dev-mentor/, write a user service"
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```
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**Result:** Code matching senior dev's exact style and patterns
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### 2. Task-Specific Guidance
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**Problem:** How would senior dev approach this specific problem?
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**Solution:**
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```
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"Using expert-skills/tech-lead-mentor/, how do I handle rate limiting?"
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```
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**Result:** Their specific approach, examples, and reasoning
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### 3. Code Review Training
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**Problem:** Learn what experienced engineer looks for
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**Solution:**
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```
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"Using expert-skills/architect-mentor/, review this code"
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```
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**Result:** Review following their standards and priorities
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### 4. Onboarding
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**Problem:** New engineer needs to learn team conventions
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**Solution:** Give them access to expert-skills
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**Result:** Learn from real examples, specific to their tasks
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## Skill Query Examples
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### Example 1: Authentication
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```bash
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./query_expertise.sh
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> Working on: Authentication
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> Language: TypeScript
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Output:
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=== Authentication in TypeScript ===
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Preferred approach: JWT with refresh tokens
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[Shows specific auth pattern]
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[Provides TS code example]
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[Testing strategy]
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[Security checklist]
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Related: error_handling.md, api_design.md
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```
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### Example 2: Database Design
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```bash
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./query_expertise.sh
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> Working on: Database design
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> Database: PostgreSQL
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Output:
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=== Database Design - PostgreSQL ===
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Schema design approach:
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- Normalized tables
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- Foreign keys enforced
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- Indexes on lookups
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- Migrations for changes
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[Shows migration example]
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[Query optimization patterns]
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[Testing approach]
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```
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### Example 3: Error Handling
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```bash
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./query_expertise.sh
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> Working on: Error handling
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> Language: Python
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Output:
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=== Error Handling in Python ===
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Pattern: Custom exception classes + global handler
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[Shows exception hierarchy]
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[Handler implementation]
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[Logging approach]
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[User-facing messages]
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```
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## Creating a Skill
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### Basic Usage
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```bash
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cd engineer-skill-creator
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./scripts/create_expert_skill.sh [engineer-username]
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```
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### Advanced Usage
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```bash
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./scripts/create_expert_skill.sh [engineer-username] --focus api,testing
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```
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Limits skill to specific focus areas.
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### What Gets Generated
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**Automatic categorization:**
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- Groups related patterns
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- Organizes by common tasks
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- Separates by language
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- Highlights best practices
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**Query system:**
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- Interactive CLI tool
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- Smart search
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- Related content linking
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- Example suggestions
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**Documentation:**
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- Task-specific guides
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- Language references
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- Pattern library
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- Quick reference cards
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## Integration with Development Workflow
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### In Claude Code
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```
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"Load the expert-skills/senior-dev-mentor/ skill and help me
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implement this feature following their approach"
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```
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### In Code Review
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```
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"Using expert-skills/tech-lead-mentor/, review this PR for:
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- Code style compliance
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- Pattern usage
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- Best practices
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- Security considerations"
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```
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### In Architecture Decisions
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```
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"Using expert-skills/architect-mentor/, how would they design
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this microservice?"
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```
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## Skill Maintenance
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### Updating Skills
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When engineer profile is updated:
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```bash
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./scripts/update_expert_skill.sh senior-dev
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```
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Re-generates skill with new expertise.
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### Version Control
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Each skill generation includes:
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- Source profile version
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- Generation date
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- Expertise count
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- Last PR analyzed
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## Best Practices
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### When Creating Skills
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**DO:**
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- ✅ Create skills for different expertise areas
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- ✅ Update skills regularly (quarterly)
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- ✅ Test queries before deploying
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- ✅ Document what the skill covers
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**DON'T:**
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- ❌ Create skills from insufficient data (< 20 PRs)
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- ❌ Mix multiple engineers in one skill
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- ❌ Ignore profile updates
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- ❌ Over-categorize (keep it simple)
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### When Using Skills
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**DO:**
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- ✅ Ask specific questions
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- ✅ Provide context (language, task)
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- ✅ Reference examples
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- ✅ Combine with your judgment
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**DON'T:**
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- ❌ Blindly copy patterns
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- ❌ Skip understanding reasoning
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- ❌ Ignore project context
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- ❌ Treat as inflexible rules
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## Limitations
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**What Skills Can Do:**
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- ✅ Provide proven patterns
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- ✅ Show real examples
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- ✅ Guide implementation
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- ✅ Explain reasoning
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- ✅ Surface best practices
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**What Skills Cannot Do:**
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- ❌ Make decisions for you
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- ❌ Understand your specific context
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- ❌ Replace senior engineer judgment
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- ❌ Guarantee correctness
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- ❌ Adapt to new technologies automatically
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## Summary
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The Engineer Skill Creator transforms extracted expertise into actionable, queryable skills:
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**Input:** Engineer profile (from extractor)
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**Process:** Categorize, organize, create query system
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**Output:** Progressive disclosure skill
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**Benefits:**
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- Find expertise fast
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- Get task-specific guidance
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- Learn from real examples
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- Maintain consistency
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- Scale knowledge
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**Use with agents:**
|
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```
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"Using expert-skills/[engineer]-mentor/, [task description]"
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```
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**The complete workflow:**
|
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1. Extract expertise: `extract_engineer.sh username`
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2. Create skill: `create_expert_skill.sh username`
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3. Use with agents: Reference skill in prompts
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4. Get consistent, expert-level results
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---
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|
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**"Progressive disclosure: Show only what's needed, when it's needed."**
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Reference in New Issue
Block a user