---

name: Knowledge Router description: This skill should be used internally to decide when to use curated skills versus Context7 MCP for documentation lookups. Use this when handling technical questions about frameworks, libraries, or APIs to determine the optimal knowledge retrieval strategy. version: 1.0.0

Knowledge Router: Skill + Context7 Hybrid System

This meta-skill provides decision logic for routing knowledge requests between curated skills and Context7 MCP server.

Decision Framework

Copy┌─────────────────────────────────────────────────────────────────┐
│                      QUERY ANALYSIS                              │
└─────────────────────────────┬───────────────────────────────────┘
                              │
                              ▼
                   ┌─────────────────────┐
                   │  Check Query Type   │
                   └──────────┬──────────┘
                              │
        ┌─────────────────────┼─────────────────────┐
        │                     │                     │
        ▼                     ▼                     ▼
  ┌───────────┐        ┌───────────┐        ┌───────────┐
  │  PATTERN  │        │  LOOKUP   │        │  HYBRID   │
  │  REQUEST  │        │  REQUEST  │        │  REQUEST  │
  └─────┬─────┘        └─────┬─────┘        └─────┬─────┘
        │                    │                    │
        ▼                    ▼                    ▼
   Use SKILL            Use CONTEXT7         Use BOTH
   (curated)            (dynamic)            (layered)

Query Classification

Type 1: PATTERN REQUESTS → Use Skill First

Indicators:

• "How do I..." / "Create a..." / "Implement..."
• "Best practice for..." / "Recommended way to..."
• "Add X to my project" / "Set up X"
• Common tasks (CRUD, auth, routing, etc.)

Examples:

Copy"How do I add authentication to FastAPI?" → SKILL
"Create a REST endpoint" → SKILL
"Best practice for error handling" → SKILL
"Set up database connection" → SKILL

Action: Load relevant skill, use curated patterns.

---

Type 2: LOOKUP REQUESTS → Use Context7 First

Indicators:

• "What is the syntax for..." / "What are the parameters..."
• "Does X support Y?" / "Can I do X with Y?"
• Specific version questions ("in FastAPI 0.100+")
• Error messages (pasted stack traces)
• "Latest" / "New" / "Updated" / "Deprecated"
• Obscure/advanced features

Examples:

Copy"What parameters does HTTPException accept?" → CONTEXT7
"Does FastAPI support HTTP/2?" → CONTEXT7
"Error: ValidationError for field X" → CONTEXT7
"What's new in Pydantic v2?" → CONTEXT7
"How do I use the new Annotated syntax?" → CONTEXT7

Action: Query Context7 directly for authoritative docs.

---

Type 3: HYBRID REQUESTS → Skill + Context7

Indicators:

• Complex implementations needing patterns + details
• "Complete example of..." / "Production-ready..."
• Integrations between multiple libraries
• Debugging (need pattern context + error lookup)

Examples:

Copy"Production-ready JWT auth with refresh tokens" → HYBRID
"Integrate FastAPI with Celery" → HYBRID
"Debug this authentication error [paste]" → HYBRID
"Complete WebSocket chat implementation" → HYBRID

Action:

1. Load skill for architectural pattern
2. Query Context7 for specific implementation details
3. Synthesize unified response

---

Routing Decision Matrix

---

Execution Protocol

When Using SKILL Only

Copy1. Identify the relevant skill (fastapi, nextjs, etc.)
2. Load SKILL.md into context
3. Generate response using curated patterns
4. If skill indicates "ESCALATE" for topic → switch to Hybrid

When Using CONTEXT7 Only

Copy1. Resolve library ID:
   mcp__context7__resolve-library-id(
     libraryName: "fastapi",
     query: "user's specific question"
   )

2. Query documentation:
   mcp__context7__query-docs(
     libraryId: "/websites/fastapi_tiangolo",
     query: "specific topic from user question"
   )

3. Synthesize response from fetched docs

When Using HYBRID (Recommended for Complex Tasks)

Copy1. Load relevant skill for architectural context
2. Generate initial structure using skill patterns
3. Identify gaps or specific details needed
4. Query Context7 for those specifics:
   mcp__context7__query-docs(libraryId, "specific detail needed")
5. Merge skill patterns with Context7 details
6. Return unified, comprehensive response

---

Available Skills & Their Coverage

---

Context7 Library Quick Reference

---

Response Quality Checklist

Before finalizing a response, verify:

• Pattern provided - Not just API reference, but how to use it
• Code is complete - Imports included, runnable example
• Follows conventions - Matches project structure if known
• Error handling shown - Not just happy path
• Version appropriate - Correct syntax for current versions
• Escalation noted - If topic has nuances, mention where to find more

---

Example Routing Decisions

Example 1: "Add JWT authentication to my FastAPI app"

Analysis:

• Task: Implementation pattern request
• Complexity: Medium (common task)
• Specificity: General

Route: SKILL (fastapi)

• Load fastapi skill
• Provide JWT pattern from curated examples
• Note: If user needs OAuth2 scopes or specific providers, offer to query Context7

---

Example 2: "What's the difference between Depends and Security in FastAPI?"

Analysis:

• Task: Conceptual/API explanation
• Complexity: Low
• Specificity: Specific to FastAPI internals

Route: CONTEXT7

• Query: mcp__context7__query-docs("/websites/fastapi_tiangolo", "Depends vs Security dependency injection")
• Return explanation from official docs

---

Example 3: "Build a production-ready chat application with FastAPI WebSockets"

Analysis:

• Task: Complex implementation
• Complexity: High
• Specificity: Needs architecture + details

Route: HYBRID

1. Load fastapi skill → Get basic WebSocket pattern
2. Query Context7 → "websocket connection manager broadcast rooms"
3. Query Context7 → "websocket authentication"
4. Synthesize → Complete chat architecture with all details

---

Token Efficiency Guidelines

Optimization: For multi-turn conversations on the same technology, load the skill once and only query Context7 for specific gaps.