SKILL
--- name: deep-research description: Deep research harness — fan-out web searches, fetch sources, adversarially verify claims, synthesize a cited report. when_to_use: When the user wants a deep, multi-source, fact-checked research report on any topic. BEFORE invoking, check if the question is specific enough to research directly — if underspecified (e.g., "what car to buy" without budget/use-case/region), ask 2-3 clarifying questions to narrow scope. Then pass the refined question as args, weaving the answers in. --- Run the "deep-research" workflow. Deep research harness — fan-out web searches, fetch sources, adversarially verify claims, synthesize a cited report. When the user wants a deep, multi-source, fact-checked research report on any topic. BEFORE invoking, check if the question is specific enough to research directly — if underspecified (e.g., "what car to buy" without budget/use-case/region), ask 2-3 clarifying questions to narrow scope. Then pass the refined question as args, weaving the answers in. Phases: - Scope: Decompose question (from args) into 5 search angles - Search: 5 parallel WebSearch agents, one per angle - Fetch: URL-dedup, fetch top 15 sources, extract falsifiable claims - Verify: 3-vote adversarial verification per claim (need 2/3 refutes to kill) - Synthesize: Merge semantic dupes, rank by confidence, cite sources Invoke: Workflow({ name: "deep-research" }) ## Workflow Script [scripts/workflow-script.js](scripts/workflow-script.js)
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{name: "deep-research"}
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Community prompt sourced from the open-source GitHub repo xanstomper/lazy-chameleon (MIT). A "SKILL" style prompt — adapt the placeholders and specifics to your task. Imported as-is and not independently retested here, so check the output before relying on it.
tags
roleplaycommunitygeneral
source
xanstomper/lazy-chameleon · MIT