skills.rest
tipmaster
tipmasterCOMMUNITY
Explore all skills by this author →
GitHub

decision-graph-analyzer

Query and analyze AI Counsel decision graphs for past deliberations and health.

Updated Aug 23, 2026
Search Tags:#knowledge retrieval#semantic search#ai memory#sqlite#ai analysis#decision graph#context injection
One-click install
npx skills add https://github.com/tipmaster/claude-config --skill decision-graph-analyzer-tipmaster
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: decision-graph-analyzer
Source: https://github.com/tipmaster/claude-config/tree/main/mcp-servers/ai-counsel/.claude/skills/decision-graph-analyzer
Command: npx skills add https://github.com/tipmaster/claude-config --skill decision-graph-analyzer-tipmaster

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires sentence-transformers, scikit-learn.

What problem does it solve?

This Skill enables users to effectively query, analyze, and troubleshoot the AI Counsel decision graph. It helps find past deliberations, identify patterns, debug context injection issues, and monitor the health and performance of the AI's memory system.

Core Features & Use Cases

  • Similar Decision Retrieval: Finds past deliberations related to new questions, providing relevant context for ongoing discussions.
  • Database Statistics & Health: Inspects growth, health, and performance metrics of the SQLite3-based decision graph storage.
  • Tiered Context Formatting: Explains how context is formatted based on semantic similarity and token budget for efficient injection.
  • Use Case: Analyze the decision graph to find all past deliberations related to "adopting TypeScript," inspect their consensus, and understand how the context would be formatted for a new deliberation to inform decision-making.

Quick Start

Use the decision-graph-analyzer skill to find past deliberations similar to 'Should we use a microservices architecture?' and inspect their consensus.