researching-rigorouslylisted
Install: claude install-skill bim-ba/ai
# Skill: researching-rigorously
## Purpose
Answer a load-bearing question (or de-risk a decision) by triangulating across the sources actually available, instead of trusting training data or a single tool. The output is a cited finding, not a guess.
- **When to use:** any non-trivial fact-check, "is X true in this system?", library/API behavior, locating an object/page/code, parity/source-of-truth questions, validating prior findings.
- **When NOT to use:** a value you can read directly from one known file in one step (just read it).
## The source ladder (cheapest-first)
Stop as soon as a source settles the question; escalate only if it doesn't. Always cite what you used.
1. **Local sources and repos (offline, fastest)**
- Local file clones and mirrors: `rg`/`fd` them FIRST. Directory trees often mirror external hierarchies, so they also tell you where new content belongs.
- Read file contents from local clones directly (not via remote API MCPs when a local copy exists).
- Any locally available knowledge graphs or pre-built indexes — orient before grepping.
2. **Available knowledge tools**
- Graph/navigation tools if present (query/path/explain operations): orient before grepping; verify load-bearing facts against source.
- Semantic search indexes, embeddings, or local catalog tools if configured.
3. **MCP servers for live state**
- Database/query MCPs (data + run history; respect concurrency limits — single-threaded tools stay on the orchestrator).