academic-research

Solid

Conduct systematic academic literature reviews in 6 phases, producing structured notes, a curated paper database, and a synthesized final report. Output is organized by phase for clarity. USE when you need a peer-reviewed, source-grounded literature review — not general web research.

AI & Automation 7 stars 0 forks Updated today MIT

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Skill Content

# Academic Research Skill ## Trigger Activate this skill when the user wants to: - "Research a topic", "literature review", "find papers about", "survey papers on" - "Deep dive into [topic]", "what's the state of the art in [topic]" - Uses `/research <topic>` slash command ## Overview This skill conducts systematic academic literature reviews in 6 phases, producing structured notes, a curated paper database, and a synthesized final report. Output is organized **by phase** for clarity. **Installation**: `skills/extensions/academic-research/` — references and this skill definition (the Bash-mode scripts referenced below are an external dependency, not shipped by this repo — see "Search Tools" below). **Output**: `output/{topic-slug}/` relative to the current working directory. ## CRITICAL: Strict Sequential Phase Execution **You MUST execute all 6 phases in strict order: 1 → 2 → 3 → 4 → 5 → 6. NEVER skip any phase.** This is the single most important rule of this skill. Violations include: - ❌ Jumping from Phase 2 to Phase 5/6 (skipping Deep Dive and Code) - ❌ Writing synthesis or report before completing Phase 3 deep reading - ❌ Producing a final report based only on abstracts/titles from search results - ❌ Combining or merging phases (e.g., doing "Phase 3-5 together") ### Phase Gate Protocol Before starting Phase N+1, you MUST verify that Phase N's **required output files** exist on disk. If they don't exist, you have NOT completed that phase. | Phase | Gate: Requi...

Details

Author
sergeeey
Repository
sergeeey/Claude-cod-top-2026
Created
4 months ago
Last Updated
today
Language
Python
License
MIT

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