deep-research
SkillAI & modelsDeep research harness, fan-out web searches, fetch sources, adversarially verify claims, synthesize a cited report.
Available today. Use it from your connected AI after setup.
No other account needed.
Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.
Then ask your AI: use the deep-research skill
What this skill tells your AI
The instructions your AI receives, as published by justinlietz93/perfect_prompts in Prompts/System_Prompts_Leaks/Anthropic/claude-code/skills/deep-research/SKILL.md and read by ahel’s review.
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
Signals
- GitHub stars
- 23
- Forks
- 1
- Last commit
- Aug 2026
- Hacker News mentions
- 1
Advanced
- Item type
- skill
- Key
deep-research-justinlietz93- Source
- github.com/justinlietz93/perfect_prompts