Route questions through a 3-tier knowledge base and return research-grounded answers.
npx skills add https://github.com/lightningfastsls/London_Lab --skill ask-lightningfastsls
Please help me install this Agent Skill. Skill: ask Source: https://github.com/lightningfastsls/London_Lab/tree/main/.claude/skills/ask Command: npx skills add https://github.com/lightningfastsls/London_Lab --skill ask-lightningfastsls
Querying a bundled research knowledge graph for methodology guidance and receiving structured, evidence-backed answers grounded in specific claims.
Ask a question using /ask to receive a structured, research-backed answer.
High-intent search queries and answers about installing and using this skill.
To get research-backed guidance, ask a question to route it through a 3-tier knowledge base (WHY, HOW, WHAT IT LOOKS LIKE) and reference documents. The system returns answers anchored to specific claims tailored to your context.
A three-tier knowledge base structures methodology guidance by separating research claims (WHY), procedural derivation docs (HOW), and domain examples (WHAT IT LOOKS LIKE). This routes reasoning queries to the appropriate evidence tier for tailored responses.
To tailor research guidance to your operational context, ensure the system can access your ops/derivation.md file. It reads these reference documents to contextually adapt research-backed answers to your specific system configurations.
The best way to query bundled research methodology is to use a deep search tool to gather and cite sources from the knowledge graph. It reads derivation and reference documents to return structured, evidence-backed guidance.
Yes, you need access to the methodology and reference documents, including ops/derivation.md. The system requires these documents to gather sources, cite claims, and tailor context-aware guidance to your user configuration.
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