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.

Safety Notice

This listing is from the official public ClawHub registry. Review SKILL.md and referenced scripts before running.

Copy this and send it to your AI assistant to learn

Install skill "academic-deep-research" with this command: npx skills add nancliu/academic-deep-research-pro

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

Source Transparency

This detail page is rendered from real SKILL.md content. Trust labels are metadata-based hints, not a safety guarantee.

Related Skills

Related by shared tags or category signals.

Research

okxprediction

Predicts short-term BTC market direction using multi-timeframe analysis, funding rates, and sentiment to signal trade execution, watch, or no trade.

Registry SourceRecently Updated
Research

Gemini Deep Research → Notion

Trigger Gemini Deep Research via browser and save results to Notion. Use when the user asks to "deep research" a topic, says "gemini deep research", or wants...

Registry SourceRecently Updated
2130Profile unavailable
Research

Project Ghost

Web reading layer for AI agents. Convert any public URL into structured intelligence — entities, business intent, confidence score — in one API call.

Registry SourceRecently Updated
1790Profile unavailable
Research

微信公众号发布工具

微信公众号发布工具 - 安全版 v2.8,支持 Knowledge-Base 主题、分步流程、一键发布,优化表格和 Markdown 渲染

Registry SourceRecently Updated
2240Profile unavailable