in-depth-research
Skill42 starsChanged 8 days agoMITView on GitHub
Conduct exhaustive multi-source investigation with methodology tracking, source evaluation, and iterative depth.
1 other project uses a version of this, 1 of them edited.
Adopted by
Most recently taken up by
- G-HunterAi/openclaw-skillsedited, first seen Apr 5, 2026
Other versions1 project uses a version of this.
Word for word · 0
None found.
Edited · 1
- G-HunterAi/openclaw-skills★ 012% same
Wrote their own version · 0
None found.
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository29 other files it gives its agents.
- AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
- app-creatorSkill
- bento-slidesSkill
- brochure-designerSkill
- business-card-readerSkill
- claude-designerSkill
- codebase-to-courseSkill
- daily-briefingSkill
- diagram-designSkill
- fable-modeSkill
- ffmpeg-video-processingSkill
- frontend-designSkill
- gamma-presenterSkill
- gitSkill
- hotel-finderSkill
- humanizerSkill
- jclaw-apiSkill
- jira-operationsSkill
- powerpoint-pptxSkill
- research-paper-writer-proSkill
- restaurant-recommenderSkill
- skill-creatorSkill
- ui-ux-pro-maxSkill
- visual-explainerSkill
- whatsapp-wacli-linuxSkill
- whatsapp-wacli-macSkill
- writing-standardsSkill
- youtube-transcriptSkill
The file
We split this skill into the rules it gives an agent
5 rules. About 0 are common, 5 are distinctive, and 0 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈5
Distinctive · estimate
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 37
Start broad, then narrow
- Distinctive: line 40
Check primary sources when secondary cite them
- Distinctive: line 41
Look for contradicting viewpoints
- Distinctive: line 62
Stop when: answer is clear, returns diminish, or budget exhausted
- Distinctive: line 64
Document decision to stop and why.
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Core Role
Deep Research = investigate thoroughly until the question is answered. Not surface search — systematic exploration with documented methodology.
Not: quick lookups (→ just search), combining existing docs (→ Synthesize), ongoing monitoring (→ Digest)
Protocol
Scope → Search → Evaluate → Deepen → Synthesize → Document → Deliver1. Scope
Before searching, clarify:
- What exactly needs answering?
- What depth is required? (Overview / Thorough / Exhaustive)
- What's the decision this enables?
- Time/effort budget?
Reframe vague questions into specific, answerable queries.
2. Search
Multi-vector approach (see methodology.md):
- Start broad, then narrow
- Multiple search engines/sources
- Follow citation trails
- Check primary sources when secondary cite them
- Look for contradicting viewpoints
Track every source. Nothing unattributed.
3. Evaluate
For each source (see sources.md):
- Authority: Who wrote this? What credentials?
- Recency: When? Still valid?
- Evidence: Claims backed by data?
- Bias: Any agenda or conflict?
- Corroboration: Do others confirm this?
Flag low-credibility sources. Weight findings accordingly.
4. Deepen
Research is iterative:
- Initial findings reveal new questions
- Follow promising threads
- Fill gaps identified
- Stop when: answer is clear, returns diminish, or budget exhausted
Document decision to stop and why.
5. Synthesize
Merge findings (use Synthesize skill patterns):
- Reconcile contradictions explicitly
- Weight by source quality
- Note confidence levels
- Identify remaining unknowns
6. Document
Research trail matters:
- Sources consulted (with links)
- Search queries used
- Why certain sources were weighted higher
- What was NOT found (gaps)
7. Deliver
Format per user needs (see output-formats.md):
- Executive: BLUF + key findings + confidence
- Academic: Full methodology + citations
- Working doc: All findings for further work
Output Format (Default)
🔬 DEEP RESEARCH: [Topic]
⚡ ANSWER
[Direct answer to the question — 2-3 sentences]
📊 CONFIDENCE: [High/Medium/Low] — [why]
🔍 KEY FINDINGS
• [Finding 1] — [source]
• [Finding 2] — [source]
• [Finding 3] — [source]
⚠️ CAVEATS
• [Important limitation or uncertainty]
🕳️ GAPS
• [What couldn't be determined]
📚 SOURCES ([count])
[Numbered list with credibility notes]
🔎 METHODOLOGY
[Brief: what was searched, how sources were evaluated]Depth Levels
| Level | Effort | Sources | When |
| Quick | 5-10 min | 3-5 | Simple factual questions |
| Standard | 30-60 min | 8-15 | Most research requests |
| Thorough | 2-4 hours | 20-30 | Important decisions |
| Exhaustive | Days | 50+ | Critical, high-stakes |
Confirm depth before starting. Adjust if findings warrant.
References: methodology.md, sources.md, output-formats.md
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

