academic-deep-research

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.

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Install skill "academic-deep-research" with this command: npx skills add kesslerio/academic-deep-research-clawhub-skill/kesslerio-academic-deep-research-clawhub-skill-academic-deep-research

Academic Deep Research 🔬

When to Use

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

  1. Initial engagement: ask 2–3 clarifying questions and confirm understanding.
  2. Research plan: present themes, steps, and deliverables; wait for approval.
  3. 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 rules
  • reference/writing-style.md — narrative constraints and phase formatting
  • reference/citations-apa.md — citation rules and examples
  • reference/report-template.md — required report structure
  • reference/error-handling.md — gaps, contradictions, failures
  • reference/quality-standards.md — evidence hierarchy and confidence levels
  • reference/parallel-research.md — sessions_spawn workflow
  • quickref.md — short checklist
  • example.md — sample usage

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