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SKILL

GPTClaudeGemini··1,233 copies·updated 2026-07-14
skill-49.prompt
---
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)

fill the variables

This prompt has 1 variable. Pro fills them into a ready-to-paste prompt for you — no manual find-and-replace.

{name: "deep-research"}
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when to use it

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