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Query the bundled research knowledge graph for methodology guidance. Routes questions through a 3-tier knowledge base — WHY (research claims), HOW (guidance docs), WHAT IT LOOKS LIKE (domain examples) — plus structured reference documents. Returns research-backed answers grounded in specific claims with practical application to the user's system. Triggers on "/ask", "/ask [question]", "why does my system...", "how should I...".

Data & Documents 3,368 stars 217 forks Updated 3 months ago MIT

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Skill Content

## EXECUTE NOW **Question: $ARGUMENTS** If no question provided, ask the user what they want to know. **Execute these steps:** 1. **Classify the question** — determine which knowledge base tier(s) to consult (see Query Classification below) 2. **Search the knowledge base** — route to appropriate tiers based on classification 3. **Read relevant claims and docs** — load 3-7 most relevant sources fully (use `mcp__qmd__multi_get` when reading multiple IDs) 4. **Check user context** — read `ops/derivation.md` if the question involves their specific system 5. **Synthesize an answer** — weave claims into a coherent, opinionated argument 6. **Cite sources** — reference specific claims and documents so the user can explore further **START NOW.** Reference below explains routing and synthesis methodology. --- ## The Three-Tier Knowledge Base The plugin's knowledge base has three distinct parts, each serving a different function. Effective answers often draw from multiple tiers. ### Tier 1: Research Graph (WHY) **Location:** `${CLAUDE_PLUGIN_ROOT}/methodology/` — filter by `kind: research` **Content:** 213 interconnected research claims grounded in cognitive science, knowledge system theory, and agent cognition research. **Use for:** Questions about principles, trade-offs, why things work, theoretical foundations. **What it contains:** - Claims about how knowledge systems work (human and agent) - Cognitive science foundations (working memory, attention, retrieval) - Methodolo...

Details

Author
agenticnotetaking
Repository
agenticnotetaking/arscontexta
Created
3 months ago
Last Updated
3 months ago
Language
Shell
License
MIT

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