| name | academic-deep-research |
| description | Transparent, rigorous research with full methodology — not a black-box API wrapper. Conducts exhaustive investigation through mandated 2-cycle research per theme, APA 7th citations, evidence hierarchy, and 3 user checkpoints. Self-contained using native OpenClaw tools (web_search, web_fetch, sessions_spawn). Use for literature reviews, competitive intelligence, or any research requiring academic rigor and reproducibility. |
| homepage | https://github.com/kesslerio/academic-deep-research-clawhub-skill |
| metadata | {"openclaw":{"emoji":"🔬"}} |
Academic Deep Research 🔬
When to Use
Native tools: web_search, web_fetch, sessions_spawn
Trigger this skill when the user wants:
- Deep research, exhaustive analysis, or literature review
- Multi-source verification and evidence hierarchies
- Academic-style reports with citations
Required Stop Points
- Initial engagement: ask 2–3 clarifying questions and confirm understanding.
- Research plan: present themes, steps, and deliverables; wait for approval.
- Final report: deliver full narrative report with citations.
Minimum Requirements
- Two full research cycles per theme.
- Analyze between every tool call.
- Multiple sources per claim; contradictions addressed.
- APA 7th in-text citations and reference list.
- Narrative-only final report (no lists or tables).
References
reference/protocol.md — research phases, tool order, and analysis rulesreference/writing-style.md — narrative constraints and phase formattingreference/citations-apa.md — citation rules and examplesreference/report-template.md — required report structurereference/error-handling.md — gaps, contradictions, failuresreference/quality-standards.md — evidence hierarchy and confidence levelsreference/parallel-research.md — sessions_spawn workflowquickref.md — short checklistexample.md — sample usage
