Context7

context7 Skill

This skill provides dynamic access to the context7 MCP server without loading all tool definitions into context.

Context Efficiency

Traditional MCP approach:

• All 2 tools loaded at startup
• Estimated context: 1000 tokens

This skill approach:

• Metadata only: ~100 tokens
• Full instructions (when used): ~5k tokens
• Tool execution: 0 tokens (runs externally)

How This Works

Instead of loading all MCP tool definitions upfront, this skill:

1. Lists available tool names and brief descriptions
2. Decide which tool to call based on the user's request
3. Generate a JSON command to invoke the tool
4. The executor handles the actual MCP communication

Available Tools

• resolve-library-id: Resolves a package/product name to a Context7-compatible library ID and returns a list of matching libraries.

MUST call this function before 'get-library-docs' to obtain a valid Context7-compatible library ID UNLESS the user explicitly provides a library ID in the format '/org/project' or '/org/project/version' in their query.

Selection Process:

1. Analyze the query to understand what library/package the user is looking for
2. Return the most relevant match based on:

• Name similarity to the query (exact matches prioritized)
• Description relevance to the query's intent
• Documentation coverage (prioritize libraries with higher Code Snippet counts)
• Source reputation (consider libraries with High or Medium reputation more authoritative)
• Benchmark Score: Quality indicator (100 is the highest score)

Response Format:

• Return the selected library ID in a clearly marked section
• Provide a brief explanation for why this library was chosen
• If multiple good matches exist, acknowledge this but proceed with the most relevant one
• If no good matches exist, clearly state this and suggest query refinements

For ambiguous queries, request clarification before proceeding with a best-guess match.

• get-library-docs: Fetches up-to-date documentation for a library. MUST call 'resolve-library-id' first to obtain the exact Context7-compatible library ID required to use this tool, UNLESS the user explicitly provides a library ID in the format '/org/project' or '/org/project/version' in their query.

Usage Pattern

When the user's request matches this skill's capabilities:

Step 1: Identify the right tool from the list above

Step 2: ALWAYS get tool details first to obtain correct parameter names and types:

cd $SKILL_DIR
./executor.py --describe tool_name

This loads ONLY that tool's schema, not all tools.

Step 3: Generate a tool call using the exact parameter names from Step 2:

{
  "tool": "tool_name",
  "arguments": {
    "param1": "value1",
    "param2": "value2"
  }
}

Step 4: Execute via bash:

cd $SKILL_DIR
./executor.py --call 'YOUR_JSON_HERE'

IMPORTANT: Replace $SKILL_DIR with the actual discovered path of this skill directory.

Important Note

MUST use --describe before calling any tool to get the correct parameter names and types. Do not guess parameter names as this will result in errors.

Examples

Example 1: Complete workflow

User: "Use context7 to do X"

Your workflow:

1. Identify tool: resolve-library-id
2. Get tool details: ./executor.py --describe resolve-library-id
3. Generate call JSON using exact parameter names from Step 2
4. Execute:

cd $SKILL_DIR
./executor.py --call '{"tool": "resolve-library-id", "arguments": {"param1": "value"}}'

Example 2: Tool details output

cd $SKILL_DIR
./executor.py --describe resolve-library-id

Returns the full schema with parameter names, types, and requirements.

Error Handling

If the executor returns an error:

• Check the tool name is correct
• Verify --describe was used to get the exact parameter names
• Ensure all required arguments are provided
• Check that parameter types match what's expected
• Ensure the MCP server is accessible

Common error: "Invalid arguments for tool" - This usually means an incorrect parameter name was used. Always run --describe first to get the correct parameter names.

Performance Notes

Context usage comparison for this skill:

Savings: ~-400% reduction in typical usage

Additional Resources

Examples

• examples/test_skill.py - Test script for skill validation

This skill was auto-generated from an MCP server configuration. Generator: mcp_to_skill.py