deep-research
Skill433 starsChanged 9 months agoMITView on GitHub
Conduct comprehensive research on any topic. Synthesize information from multiple angles, provide structured analysis, and generate detailed research reports.
We split this skill into the rules it gives an agent
1 rule. 0 are common, 1 is distinctive, and 0 are very specific to this project.
0
Common
Most of the 177 edited versions we read keep these.
1
Distinctive
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 365
Ask for sources: if you need to verify information
“Common” is measured: kept by at least 6 in 10 of the 177 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Deep Research Skill
Overview
I help you conduct comprehensive, multi-faceted research on any topic. I analyze information from multiple perspectives, synthesize findings, and deliver structured research reports suitable for decision-making.
What I can do:
- Systematic topic exploration
- Multi-angle analysis (pros/cons, different viewpoints)
- Information synthesis and structuring
- Key insight extraction
- Comprehensive report generation
- Source organization and citation
What I cannot do:
- Access real-time internet (unless tools provided)
- Conduct primary research (surveys, interviews)
- Access paywalled or proprietary databases
- Guarantee 100% accuracy of synthesized information
How to Use Me
Step 1: Define Research Question
Provide:
- Main research question or topic
- Specific sub-questions (if any)
- Context and purpose of research
- Any constraints or focus areas
Step 2: Set Research Parameters
- Scope: Broad overview vs. narrow deep-dive
- Perspectives: Technical, business, social, legal, etc.
- Time frame: Historical, current, future-focused
- Depth: Surface-level vs. comprehensive
Step 3: Specify Output Format
- Executive Brief: 1-2 page summary
- Standard Report: 5-10 page comprehensive report
- Deep Dive: 15+ page detailed analysis
- Presentation: Slide-ready bullet points
Research Methodology
Phase 1: Scoping
1. Understand the research question
2. Identify key concepts and terms
3. Define boundaries and constraints
4. Establish success criteriaPhase 2: Information Gathering
1. Explore primary aspects of the topic
2. Identify relevant subtopics
3. Collect diverse perspectives
4. Note key facts, data, and quotesPhase 3: Analysis
1. Organize information by theme
2. Identify patterns and trends
3. Compare different viewpoints
4. Assess reliability and biasPhase 4: Synthesis
1. Develop key insights
2. Draw conclusions
3. Identify gaps and limitations
4. Formulate recommendationsPhase 5: Reporting
1. Structure findings logically
2. Present balanced perspectives
3. Cite sources appropriately
4. Provide actionable takeawaysResearch Frameworks
PESTEL Analysis (for market/industry topics)
| Factor | Questions to Explore |
| Political | Regulations, government policy, political stability |
| Economic | Growth, inflation, employment, currency |
| Social | Demographics, culture, consumer behavior |
| Technological | Innovation, automation, R&D |
| Environmental | Sustainability, climate, resources |
| Legal | Laws, compliance, litigation |
5W1H Framework (for any topic)
- What: Definition, scope, components
- Why: Causes, motivations, rationale
- Who: Stakeholders, actors, affected parties
- When: Timeline, milestones, history
- Where: Geography, context, application
- How: Mechanisms, processes, methods
Argument Mapping
Claim: [Main thesis or finding]
├── Supporting Evidence 1
│ └── Source & strength
├── Supporting Evidence 2
│ └── Source & strength
├── Counter-argument 1
│ └── Rebuttal
└── Counter-argument 2
└── RebuttalOutput Format
# Research Report: [Topic]
**Research Question**: [Main question being addressed]
**Date**: [Date]
**Prepared by**: AI Research Assistant
---
## Executive Summary
[3-5 sentence overview of key findings and conclusions]
**Key Findings**:
1. [Finding 1]
2. [Finding 2]
3. [Finding 3]
**Recommendation**: [Brief actionable recommendation]
---
## Table of Contents
1. Introduction
2. Background
3. [Main Section 1]
4. [Main Section 2]
5. [Main Section 3]
6. Analysis & Discussion
7. Conclusions
8. Recommendations
9. Sources & Further Reading
---
## 1. Introduction
### Research Objective
[What this research aims to accomplish]
### Scope & Boundaries
[What is and isn't covered]
### Methodology
[How the research was conducted]
---
## 2. Background
### Context
[Relevant background information]
### Key Terms & Definitions
| Term | Definition |
|------|------------|
| [Term 1] | |
| [Term 2] | |
### Historical Overview
[Brief history if relevant]
---
## 3. [Main Section 1]
### Overview
[Introduction to this aspect]
### Key Points
#### [Subsection 1.1]
[Detailed analysis]
#### [Subsection 1.2]
[Detailed analysis]
### Summary
[Key takeaways from this section]
---
## 4. [Main Section 2]
[Similar structure...]
---
## 5. [Main Section 3]
[Similar structure...]
---
## 6. Analysis & Discussion
### Key Patterns & Trends
[Patterns identified across the research]
### Multiple Perspectives
#### Perspective A: [Viewpoint]
[Analysis of this viewpoint]
#### Perspective B: [Viewpoint]
[Analysis of this viewpoint]
### Strengths & Weaknesses
| Strengths | Weaknesses |
|-----------|------------|
| | |
### Gaps & Limitations
[What the research couldn't fully address]
---
## 7. Conclusions
### Main Findings
1. [Conclusion 1]
2. [Conclusion 2]
3. [Conclusion 3]
### Implications
[What these findings mean for the reader]
---
## 8. Recommendations
### Immediate Actions
1. [Action 1]
2. [Action 2]
### Further Research Needed
1. [Area 1]
2. [Area 2]
---
## 9. Sources & Further Reading
### Primary Sources
1. [Source 1]
2. [Source 2]
### Additional Resources
1. [Resource 1]
2. [Resource 2]
---
## Appendices
### Appendix A: [Supporting Data]
### Appendix B: [Detailed Analysis]
---
*Research conducted using AI-assisted analysis. Findings should be verified with primary sources for critical decisions.*Example Research Topics
- Technology: "What are the implications of quantum computing for cybersecurity?"
- Business: "How are companies successfully implementing AI in customer service?"
- Policy: "What are the pros and cons of universal basic income?"
- Science: "What is the current state of CRISPR gene editing technology?"
- Market: "What factors are driving the growth of electric vehicles?"
Tips for Better Results
- Be specific about your research question
- Provide context about why you need this research
- Specify perspectives you want explored
- Indicate depth required (overview vs deep dive)
- Ask for sources if you need to verify information
- Request multiple viewpoints for balanced analysis
Limitations
- Cannot access real-time web data
- Cannot access paywalled content
- Knowledge has a training cutoff date
- Cannot conduct primary research
- May have biases in synthesized information
- Cannot guarantee accuracy of all facts
Built by the Claude Office Skills community. Contributions welcome!
Other versions196 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 196
- affaan-m/ECC★ 246ksame name
- bytedance/deer-flow★ 84ksame name
- Imbad0202/academic-research-skills★ 54ksame name
- THU-MAIC/OpenMAIC★ 41ksame name
- genspark-ai/genoffice★ 11ksame name
- HKUSTDial/Supervisor-Skills★ 11ksame name
- advaitpaliwal/feynman★ 10ksame name
- companion-inc/feynman★ 10ksame name
- getcompanion-ai/feynman★ 10ksame name
- davidondrej/skills★ 4.2ksame name
186 more not listed
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.
Used alongsideProjects with it also use community-led-growth, ph-community-outreach and 10 more.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
nicepkgSkillcommunity-led-growth
Expert in community-led growth (CLG) - leveraging user communities to drive acquisition, retention, and expansion. Covers building developer communities, user groups, ambassador programs, and turning customers into advocates. Knows the difference between community as a feature vs community as a growth engine, and how to measure community ROI. Use when "community-led, CLG, ambassador program, champion program, user community, developer community, word of mouth, user group, " mentioned.
Also in 5 projects that use this
nicepkgSkillph-community-outreach
Engage Reddit, Indie Hackers, Hacker News and other communities for Product Hunt launches. Use this skill to identify relevant communities, craft appropriate posts, and drive cross-platform engagement without appearing spammy.
Also in 5 projects that use this
zebbernSkillacademic-paper-reviewer
Simulates academic peer review, evaluating papers across Originality, Methodology, Results, and Writing to provide Major/Minor Revision recommendations with actionable feedback. Triggers when a user asks to \"review my paper,\" \"simulate peer review,\" or \"give my paper a peer review.
Also in 9 projects that use this
W-MoorerSkillacademic-pipeline
Orchestrator for the full academic research pipeline: research -> write -> integrity check -> review -> revise -> re-review -> re-revise -> final integrity check -> finalize. Coordinates deep-research, academic-paper, and academic-paper-reviewer into a seamless 10-stage workflow with mandatory integrity verification, two-stage peer review, and reproducible quality gates. Triggers on: academic pipeline, research to paper, full paper workflow, paper pipeline, end-to-end paper, research-to-publication, complete paper workflow.
Also in 8 projects that use this
ncklrsSkillseo-content-strategist
Expert SEO content strategy for SaaS and B2B sites. Use when doing keyword research, planning content clusters, creating pillar pages, optimizing on-page SEO, fixing technical SEO issues, building links, refreshing content, implementing programmatic SEO, mapping search intent, optimizing for SERP features, or measuring content performance. Use for SEO audits, content gap analysis, and organic growth strategy.
Also in 5 projects that use this
xfstudioSkillmicro-saas-launcher
Expert in launching small, focused SaaS products fast - the indie hacker approach to building profitable software. Covers idea validation, MVP development, pricing, launch strategies, and growing to sustainable revenue. Ship in weeks, not months. Use when: micro saas, indie hacker, small saas, side project, saas mvp.
Also in 5 projects that use this
- +4 more from nicepkg
In this repository137 other files it gives its agents.
- .cursor/rules/project-rules.mdcCursor rule
- academic-searchSkill
- ads-copywriterSkill
- ai-agent-builderSkill
- airtable-automationSkill
- ai-slidesSkill
- Amazon SellerSkill
- Apple Shortcuts IntegrationSkill
- Applicant ScreeningSkill
- Asana AutomationSkill
- batch-convertSkill
- batch-processorSkill
- Brand Guidelines GeneratorSkill
- Browser AutomationSkill
- calendar-automationSkill
- Changelog GeneratorSkill
- chart-designerSkill
- Chat with PDFSkill
- ClickUp AutomationSkill
- company-researchSkill
- competitive-analysisSkill
- Content Research WriterSkill
- contract-reviewSkill
- contract-templateSkill
- cover-letterSkill
- crm-automationSkill
- crypto-reportSkill
- customer-successSkill
- cv-builderSkill
- data-analysisSkill
- Database SyncSkill
- data-extractorSkill
- data-pipelineSkill
- dcf-valuationSkill
- devops-automationSkill
- dev-slidesSkill
- diagram-creatorSkill
- discord-botSkill
- doc-parserSkill
- doc-pipelineSkill
- DocuSign AutomationSkill
- docx-manipulationSkill
- Email ClassifierSkill
- email-drafterSkill
- email-marketingSkill
- ETL PipelineSkill
- excel-automationSkill
- expense-reportSkill
- Expense TrackerSkill
- Facebook/Meta AdsSkill
- File OrganizerSkill
- financial-modelingSkill
- form-builderSkill
- gmail-workflowsSkill
- google-ads-managerSkill
- Home Assistant AutomationSkill
- hr-automationSkill
- html-slidesSkill
- html-to-pptSkill
- image-generationSkill
- The first 60 shown.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
Reviews can't be read right now.
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.

