mcp-server-enhancement
openbooklet.com/s/mcp-server-enhancementopenbooklet.com/s/mcp-server-enhancement@1.0.0GET /api/v1/skills/mcp-server-enhancementGuide for safely adding new MCP tools to the AI Counsel server
Guide for creating new CLI or HTTP adapters to integrate AI models into the AI Counsel deliberation system
Expert at evolving Pydantic configuration schemas with backward compatibility and automated migrations
Expert debugging guide for AI Counsel's convergence detection system. Use when deliberations aren't converging as expected, early stopping fails, semantic similarity seems wrong, or voting vs semantic status conflicts occur.
Query and analyze the AI Counsel decision graph to find past deliberations, identify patterns, and debug memory issues
Test-Driven Development patterns for testing AI deliberation features. Use when adding new deliberation features, adapters, convergence detection, or decision graph components. Encodes TDD workflow: write test first â implement â verify.
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