research-analyst
Skill3 starsChanged 8 months agoMITView on GitHub
Structured research analysis with hypothesis formation, evidence evaluation, and actionable recommendations. Use when users need systematic analysis of a topic, technology evaluation, feasibility studies, literature synthesis, or evidence-based decision support. Complements deep-research by focusing on analytical reasoning rather than report formatting.
10 other projects use a version of this.
Adopted by
Most recently taken up by
- ggoosen/Digital-Workforcetheir own version, first seen Nov 8, 2026
- yigityildiz0/evidence-research-skillstheir own version, first seen Oct 25, 2026
- yigityildiz0/scientific-agent-skillstheir own version, first seen Oct 13, 2026
- yigityildiz0/truth-first-counterargument-skilltheir own version, first seen Oct 13, 2026
- jshsakura/awesome-opencode-skillstheir own version, first seen Jul 8, 2026
- drewid74/ai_skillstheir own version, first seen May 20, 2026
Other versions10 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 10
- jshsakura/awesome-opencode-skills★ 30same name
- belokonm/claude-supercode-skills★ 11same name
- drewid74/ai_skills★ 8same name
- nicolasestrem/antigravity-gemini-skills★ 8same name
- ggoosen/Digital-Workforce★ 1same name
- GoogleMakesMeBetter/claude-skills-collection★ 1same name
- yigityildiz0/scientific-agent-skills★ 1same name
- yigityildiz0/truth-first-counterargument-skill★ 1same name
- dhriyatinandu-bot/claude-skills★ 0same name
- yigityildiz0/evidence-research-skills★ 0same name
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 repository7 other files it gives its agents.
- deep-researchSkill
- deep-thinkSkill
- jargon-detectorSkill
- nb-querySkill
- paragraph-progression-analyzerSkill
- sci-hub-downloadSkill
- semantic-scholarSkill
The file
We split this skill into the rules it gives an agent
9 rules. 0 are common, 6 are distinctive, and 3 are very specific to this project.
0
Common
Most of the 8 edited versions we read keep these.
6
Distinctive
This author's own choices. Worth a look.
3
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 119
Always produce a structured document with:
- Very specific: line 131
Use deep-research for initial evidence collection
- Very specific: line 132
Use deep-think for complex reasoning about ambiguous findings
- Very specific: line 133
Use tech-scout for technology-specific evaluations
- Distinctive: line 138
Do NOT present opinions as findings
- Distinctive: line 139
Do NOT cherry-pick evidence to support a predetermined conclusion
- Distinctive: line 140
Do NOT ignore contradictory evidence
- Distinctive: line 141
Do NOT conflate correlation with causation
- Distinctive: line 142
Do NOT make recommendations without stating confidence level
“Common” is measured: kept by at least 6 in 10 of the 8 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
Research Analyst
Systematic research analysis skill that forms hypotheses, evaluates evidence, and produces structured analytical assessments.
Trigger Words
/research-analyst- "analyze this topic"
- "evaluate the evidence"
- "what does the research say about"
- "feasibility analysis"
- "systematic analysis"
Quick Start
- Define the research question and analytical scope
- Form initial hypotheses or analytical framework
- Gather and evaluate evidence (quality, relevance, recency)
- Synthesize findings into structured analysis
- Produce actionable recommendations with confidence levels
Core Workflow
Research Analyst Progress:
- [ ] Step 1: Define research question and scope
- [ ] Step 2: Establish analytical framework
- [ ] Step 3: Evidence gathering and evaluation
- [ ] Step 4: Cross-reference and validate findings
- [ ] Step 5: Synthesize analysis with confidence ratings
- [ ] Step 6: Produce recommendationsStep 1: Define Research Question
- Clarify the specific question or problem to analyze
- Identify constraints: time, domain, depth
- Determine the decision this analysis will inform
- Identify key stakeholders and their information needs
Step 2: Analytical Framework
Choose and apply one or more frameworks:
| Framework | Best For |
| SWOT | Strategic positioning, competitive analysis |
| PESTEL | Macro-environment, policy impact |
| Porter's Five Forces | Industry/market dynamics |
| Root Cause Analysis | Problem diagnosis |
| Cost-Benefit | Investment/decision justification |
| Comparative Matrix | Technology/tool evaluation |
| Literature Synthesis | Academic/research topics |
Step 3: Evidence Gathering
For each piece of evidence, record:
| # | Source | Type | Quality | Relevance | Key Finding |
|---|--------|------|---------|-----------|-------------|
| 1 | [source] | [primary/secondary/tertiary] | [H/M/L] | [H/M/L] | [finding] |Quality Assessment Criteria:
- High: Peer-reviewed, primary data, recent (< 2 years), reputable source
- Medium: Industry reports, established blogs, conference papers
- Low: Anecdotal, outdated (> 5 years), unverified claims
Step 4: Cross-Reference and Validate
- Triangulate findings across multiple sources
- Identify contradictions and resolve them
- Note gaps in available evidence
- Flag assumptions that cannot be verified
Step 5: Synthesis
Structure the analysis as:
## Analysis Summary
### Key Findings
1. [Finding with confidence level: HIGH/MEDIUM/LOW]
2. [Finding with confidence level]
### Evidence Strength
- Strong evidence supports: [claims]
- Moderate evidence suggests: [claims]
- Weak/insufficient evidence for: [claims]
### Contradictions and Uncertainties
- [Area of disagreement and possible explanations]
### Limitations
- [Scope limitations, data gaps, methodology constraints]Step 6: Recommendations
## Recommendations
| Priority | Recommendation | Confidence | Evidence Basis | Risk if Ignored |
|----------|---------------|------------|----------------|-----------------|
| P1 | [action] | HIGH | [refs] | [risk] |
| P2 | [action] | MEDIUM | [refs] | [risk] |Output Format
Always produce a structured document with:
- Executive Summary (2-3 sentences)
- Research Question (explicit statement)
- Methodology (frameworks used, sources consulted)
- Findings (organized by theme or hypothesis)
- Analysis (synthesis with confidence levels)
- Recommendations (prioritized, actionable)
- Appendix (evidence table, source list)
Integration with Other Skills
- Use
deep-researchfor initial evidence collection - Use
deep-thinkfor complex reasoning about ambiguous findings - Use
tech-scoutfor technology-specific evaluations - Feed results to
brainstormfor solution ideation
Anti-Patterns
- Do NOT present opinions as findings
- Do NOT cherry-pick evidence to support a predetermined conclusion
- Do NOT ignore contradictory evidence
- Do NOT conflate correlation with causation
- Do NOT make recommendations without stating confidence level
Does it work?
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