academic-deep-research

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

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