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Academic Deep Research

kesslerio/academic-deep-research-clawhub-skill

This is a structured research assistant that forces rigor through hard stops and minimum requirements. You get three mandatory checkpoints: clarifying questions upfront, approval of the research plan, then the final report. Every theme gets at least two research cycles, analysis between tool calls, and proper APA 7th citations with an evidence hierarchy. It spawns parallel sessions for efficiency and won't let you skip steps. The output is narrative only, no bullet lists. Use it when you need reproducible academic-grade research or literature reviews where you can actually trace the methodology, not when you just want quick answers from a search API.

skills.sh installs
560
GitHub stars
21
last updated
Aug 21, 2026
View on GitHub

Install

$ npx -y skills add kesslerio/academic-deep-research-clawhub-skill --skill academic-deep-research --agent claude-code

Installs into .claude/skills of the current project.

Files

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

SKILL.md on GitHub

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Details

Repository
github.com/kesslerio/academic-deep-research-clawhub-skill
Categories
Backend & APIs, Data Science & ML, Python
First seen
Jun 3, 2026

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