Academic Deep Research Pro

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name: academic-deep-research slug: academic-deep-research-pro 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: 🔬

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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