skill-router

name	skill-router
description	Intelligently routes user requests to the most appropriate Claude Code skill. ALWAYS use this skill FIRST when user asks for help, mentions "skill", "which", "how to", or seems unsure about which approach to take. This is the default entry point for all skill-related requests.
allowed-tools	Read, AskUserQuestion, WebSearch, Grep
metadata	{"hooks":{"after_complete":[{"trigger":"session-logger","mode":"auto","reason":"Log skill routing decisions"}]}}

Skill Router

An intelligent router that analyzes user requests and recommends the most appropriate Claude Code skill for the task.

When This Skill Activates

This skill activates when you:

• Ask "which skill should I use?" or "what skill can help with...?"
• Say "use a skill" without specifying which one
• Express a need but aren't sure which skill fits
• Mention "skill router" or "help me find a skill"

Available Skills Catalog

Meta & Workflow

Skill	Best For
skill-router	Finding and selecting the right skill for a task
create-pr	Creating pull requests with bilingual documentation checks
session-logger	Saving session summaries and activity logs
workflow-orchestrator	Coordinating multi-skill workflows and triggers
self-improving-agent	Learning from completed skill workflows
auto-trigger	Declaring trigger relationships between skills

Core Development

Skill	Best For
commit-helper	Writing Git commit messages, formatting commits
code-reviewer	Reviewing PRs, code changes, quality checks
debugger	Diagnosing bugs, errors, unexpected behavior
refactoring-specialist	Improving code structure, reducing technical debt

Documentation & Testing

Skill	Best For
documentation-engineer	Writing README, technical docs, code documentation
api-documenter	Creating OpenAPI/Swagger specifications
test-automator	Writing tests, setting up test frameworks
qa-expert	Test strategy, quality gates, QA processes

Architecture & DevOps

Skill	Best For
api-designer	Designing REST/GraphQL APIs, API architecture
security-auditor	Security audits, vulnerability reviews, OWASP Top 10
performance-engineer	Performance optimization, speed analysis
deployment-engineer	CI/CD pipelines, deployment automation

Planning & Analysis

Skill	Best For
prd-planner	Creating PRDs with persistent file-based planning
prd-implementation-precheck	Prechecking PRDs/specs before implementation
architecting-solutions	Non-PRD solution design, architecture, and requirements analysis
planning-with-files	Multi-step task planning, persistent file-based organization
long-task-coordinator	Multi-session, delegated, or resumable work that needs explicit state and recovery

Design & UX

Skill	Best For
figma-designer	Analyzing Figma designs and producing implementation-ready visual specs/PRDs

Routing Process

Step 1: Intent Analysis

Analyze the user's request to identify:

• Task Type: What does the user want to accomplish?
• Context: What is the working domain (web, mobile, data, etc.)?
• Complexity: Is this a simple task or complex workflow?

Step 2: Skill Matching

Match the identified intent to the most relevant skill(s) using:

• Keyword matching: Compare request keywords with skill descriptions
• Semantic similarity: Understand the meaning behind the request
• Context awareness: Consider project state and previous actions

Step 3: Interactive Clarification

If the request is ambiguous, guide the user with targeted questions:

• What is the primary goal?
• What type of output is expected?
• Are there specific constraints or preferences?

Step 4: Recommendation & Execution

Present the recommended skill with:

• Skill name and brief description
• Why it fits the current request
• Option to proceed or ask for alternatives

Routing Examples

Example 1: Clear Intent

User: "I need to review this pull request"

Router Analysis:

• Keywords: "review", "pull request"
• Intent: Code review
• Recommendation: code-reviewer

Example 2: Ambiguous Intent

User: "Use a skill to help with my project"

Router Questions:

1. What type of task are you working on?
2. Are you designing, coding, testing, or documenting?

Based on answers → Recommend appropriate skill

Example 3: Multi-Skill Scenario

User: "I'm building a new API and need help with the full workflow"

Router Recommendation: Consider using multiple skills in sequence:

1. api-designer - Design the API structure
2. api-documenter - Document endpoints with OpenAPI
3. test-automator - Set up API tests
4. code-reviewer - Review implementation

Interactive Question Templates

When user intent is unclear, use these question patterns:

Goal Clarification

• "What are you trying to accomplish with this task?"
• "What would the ideal outcome look like?"

Domain Identification

• "What area does this relate to: development, testing, documentation, or deployment?"
• "Are you working on code, APIs, infrastructure, or something else?"

Stage Assessment

• "What stage are you at: planning, implementing, testing, or maintaining?"

Preference Confirmation

• "Do you want a quick solution or a comprehensive approach?"
• "Are there specific tools or frameworks you're using?"

Best Practices

1. Start Broad, Then Narrow

• Begin with general category questions
• Drill down into specifics based on responses

2. Explain Your Reasoning

• Tell the user why a particular skill is recommended
• Build trust through transparency

3. Offer Alternatives

• Present the top recommendation
• Mention 1-2 alternatives if applicable

4. Handle Edge Cases

• If no skill fits perfectly, suggest the closest match
• Offer to help without a specific skill if better

5. Learn from Context

• Consider previous interactions
• Remember user preferences for future routing

Advanced Routing Patterns

Semantic Routing

Use semantic similarity when keywords don't match directly:

• "clean up my code" → refactoring-specialist
• "make my app faster" → performance-engineer
• "check for security issues" → security-auditor
• "resume this interrupted workflow" → long-task-coordinator

Multi-Skill Orchestrations

Suggest skill combinations for complex workflows:

• New Feature: architecting-solutions → debugger → code-reviewer
• API Project: api-designer → api-documenter → test-automator
• Production Readiness: security-auditor → performance-engineer → deployment-engineer

Confidence Levels

Indicate confidence in recommendations:

• High: Direct keyword match, clear intent
• Medium: Semantic similarity, reasonable inference
• Low: Ambiguous request, clarification needed

Error Recovery

If the recommended skill doesn't fit:

1. Acknowledge the mismatch
2. Ask follow-up questions to refine understanding
3. Provide alternative recommendations
4. Fall back to general assistance if needed

Output Format

When recommending a skill, use this format:

## Recommended Skill: {skill-name}

{brief description of why this skill fits}

**What it does:** {one-sentence skill description}

**Best for:** {specific use cases}

---

Would you like me to activate this skill, or would you prefer to see other options?

References

• AI Agent Routing: Tutorial & Best Practices
• Intent Recognition and Auto-Routing in Multi-Agent Systems
• Multi-LLM Routing Strategies (AWS)