academic-researchlisted
Install: claude install-skill Sheldon-92/TAD
# Academic Research Capability Pack
> Teaches AI agents HOW to do academic research — depth enforcement, citation integrity, quality scoring, and self-evaluation. Derived from ScienceClaw's 629-line SCIENCE.md protocol + ScholarEval rubric + VOYAGER-inspired Reflexion Cycle.
>
> **CONSUMES**: Research question + optional domain constraints (field, date range, databases).
> **PRODUCES**: Evidence-grounded research report + methodology section + citation audit trail + Reflexion Cycle self-evaluation (for non-trivial tasks).
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## Scope Disambiguation
This pack covers **academic and scientific research methodology**.
**This pack — use when:**
- User asks about 学术/academic/论文/paper/文献/literature tasks
- Systematic or literature reviews, meta-analyses
- Tasks mentioning PRISMA, PubMed, citation analysis, ScholarEval
- Evaluating research quality or scholarly writing
**NOT this pack — defer to `*research` when:**
- Market analysis, technology trend analysis, competitive analysis
- General non-academic "research X" tasks without scientific context
- Business strategy investigation, product analysis
If ambiguous, ask the user: "Is this academic/scientific research or general market/technology research?"
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## Step 1: Detect Research Task Type
Classify the user's request into one of four tiers. Each tier has a mandatory minimum depth derived from ScienceClaw SCIENCE.md lines 111-121.
| Tier | Signal Keywords | Min Phases | Min Tool Calls | Session Model |
|------|--------