Generate and edit Draw.io, Mermaid, and Excalidraw diagrams from natural language using a structured JSON spec.
Coding
Deep Research
Try itRigorous multi-source, fact-checked research producing a cited brief. Use for any high-stakes question where being wrong is costly — market sizing, company/p...
What it does
For high-stakes questions where a wrong answer carries real cost. Depth and verification over speed.
The skill document
Deep Research
For high-stakes questions where a wrong answer carries real cost. Depth and verification over speed.
Method
- Scope — Restate the question in one line. List 3–6 sub-questions that must be answered for a confident decision. If the question is vague, narrow it before researching.
- Fan out — Research each sub-question from multiple independent angles: web search, official/primary sources, registries and filings, reputable news, and any documents provided. One angle never suffices.
- Verify adversarially — For each material claim, find a second independent source and actively try to disprove it. Flag anything single-sourced, contested, or stale.
- Synthesize —
- Bottom line (3 sentences, decision-oriented)
- Key findings — each with source + confidence (High / Med / Low)
- What's uncertain or contested
- Implications for the decision at hand
- Recommended next action
- Cite every claim inline (source + date). No uncited assertions.
Rules
- Never present a single-source claim as fact — always label confidence.
- Separate fact from inference explicitly.
- If you cannot verify something, say so — never fill gaps with plausible guesses.
- Breadth first, then depth on the decision-critical items only.
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