Install
openclaw skills install deep-researcher-aiGenerate comprehensive 30-40 page academic research papers with full citations. Trigger: deep research, generate research paper, academic paper, literature review, research report, 30-40 page paper, comprehensive analysis, full citations, scholarly work.
openclaw skills install deep-researcher-aiGenerate comprehensive, academic-grade research papers (30-40 pages) with 40-80 unique citations, following a rigorous 7-stage workflow. Adapts to any field — AI, medicine, economics, social sciences, engineering, and more.
STAGE 1: Topic Analysis → Decompose topic into sub-questions
STAGE 2: Source Discovery → Query academic & industry databases
STAGE 3: Content Synthesis → Extract, summarize, map source relationships
STAGE 4: Cross-Verification → Triangulate claims, verify facts
STAGE 5: Content Expansion → Fill gaps, add case studies, data
STAGE 6: Synthesis & Writing → Assemble paper chapter-by-chapter
STAGE 7: Refinement & QA → Polish, format citations, validate
Decompose the research topic into 12-15 subtopics. Identify:
Output: Topic Deconstruction Report with subtopics, research questions, and knowledge gaps.
Query multiple source categories using OpenClaw's native tools:
| Category | Sources | Tool |
|---|---|---|
| Academic | arXiv, Google Scholar, PubMed, Semantic Scholar | batch_web_search |
| Economic | World Bank API, IMF, OECD Stats | batch_web_search |
| Industry | McKinsey Insights, Statista, Gartner | batch_web_search + extract_content_from_websites |
| Code/AI | GitHub, Hugging Face, arXiv (CS) | batch_web_search |
| News | Reuters, BBC, RSS feeds | batch_web_search |
| Patents | Google Patents | batch_web_search |
Tool: batch_web_search (up to 10 concurrent queries)
For each search, extract: title, authors, year, DOI/URL, abstract, key findings.
Output: 40-80 candidate sources organized by category and relevance.
For each major source:
Output: Synthesized source notes (150-200 words per source), cross-reference map, draft literature review.
Output: Verification log, triangulation matrix, bias assessment.
Output: Expanded source list (+10-20 sources), comparative analysis, historical timeline.
Assemble the paper using the Standard Research Paper Structure below. Integrate citations in APA 7th format. Write 15,000-18,000 words targeting 30-40 pages.
1. Title Page (clear title, keywords, date)
2. Abstract (300-500 words, 3-5 keywords)
3. Executive Summary (1-2 pages, key takeaways for decision-makers)
4. Chapter 1: Introduction (3-4 pages)
- Background & context
- Problem statement
- Research objectives & questions
- Significance & scope
5. Chapter 2: Literature Review (6-8 pages)
- Theoretical framework
- Key themes (organized thematically)
- Major studies & seminal works
- Gaps in existing research
6. Chapter 3: Methodology (4-5 pages)
- Research design (qualitative/quantitative/mixed)
- Data sources & search strategy
- Inclusion/exclusion criteria
- Analysis techniques & AI tools used
7. Chapter 4: Data Collection (3-4 pages)
- Sample/data description
- Collection procedures
- Ethical considerations
8. Chapter 5: Analysis & Findings (8-10 pages)
- Descriptive findings
- Quantitative/qualitative results
- Comparative and longitudinal analysis
- Visual elements (tables, figures)
9. Chapter 6: Discussion (3-4 pages)
- Interpretation of key findings
- Theoretical & practical implications
- Limitations & counterarguments
10. Chapter 7: Conclusion (2-3 pages)
- Summary of contributions
- Actionable recommendations
- Future research directions
11. References (5-8 pages, 40-80 sources)
12. Appendices (optional)
Citation style: APA 7th Edition (Author, Year) — default. Also supports MLA 9th and Chicago Notes/Bibliography.
Run the quality checklist:
Output: Final polished paper + QA report
| Format | Description | Tool |
|---|---|---|
| Markdown | Default, editable | Direct output |
| Academic submission | minimax-pdf skill | |
| DOCX | Word processing | minimax-docx skill |
Request with: "[topic] — output as PDF" or "[topic] — output as DOCX"
In-text: (Author, Year) or Author (Year) showed that...
Reference entry (Journal):
Author, A. A., & Author, B. B. (Year). Title of article. Journal Name, Volume(Issue), Page.Range. https://doi.org/xxxxx
Reference entry (Book):
Author, A. A. (Year). Title of book (Edition ed.). Publisher.
Reference entry (Web):
Author, A. A. (Year, Month Day). Title of page. Website Name. https://url
Target: ≥1 citation per 150-200 words across the full paper. This ensures every claim is evidence-backed and academically rigorous.
| Priority | Source Types | Cost |
|---|---|---|
| HIGH | arXiv, PubMed, World Bank, IMF, OECD, Hugging Face, GitHub | Free |
| MEDIUM | Google Scholar, IEEE, McKinsey, Gartner, Statista | Free/Premium |
| LOW | News feeds, Twitter, Reddit, news blogs | Free |
Always prioritize free, authoritative, open-access sources first.
https://export.arxiv.org/api/query — cutting-edge AI/ML/theory, no API keybatch_web_search — comprehensive peer-reviewed coveragehttps://eutils.ncbi.nlm.nih.gov/entrez/eutils/ — biomedical, life scienceshttps://api.semanticscholar.org/ — CS academic sourceshttps://api.worldbank.org/v2/ — free, no key requiredhttps://api.imf.org/ — macroeconomic datahttps://stats.oecd.org/ — comparative policy datahttps://api.huggingface.co/ — ML models, datasets, papershttps://api.github.com/ — code trends, repositorieshttps://patents.google.com/ — innovation trends| Issue | Solution |
|---|---|
| "Insufficient sources" | Expand keyword list; use Boolean operators (AND/OR/NOT); try alternative databases |
| "Page count too short" | Expand Stage 5 (content expansion); add case studies, comparative data, visual elements |
| "Citation gaps" | Return to Stage 2; search for missing angles; add industry reports and government data |
| "Hallucination risk" | Always verify facts via Cross-Verification stage; cite primary sources only |
| "Formatting inconsistent" | Run APA 7th reference check; ensure all in-text citations match reference list |
This skill replaces and significantly extends the knowledge-digest skill's research capabilities. Where knowledge-digest focuses on learning materials from existing documents, deep-researcher generates original academic research from primary and secondary sources across multiple databases.
Both skills can coexist — use deep-researcher for original paper creation, knowledge-digest for study aids from existing materials.