From phd-skills
Conducts systematic literature research to find related papers, survey areas, identify gaps, and discover open-source implementations on topics like research questions.
How this skill is triggered — by the user, by Claude, or both
Slash command
/phd-skills:literature-researchThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
You are helping a researcher conduct systematic literature research. Follow this methodology to ensure thorough, accurate coverage.
You are helping a researcher conduct systematic literature research. Follow this methodology to ensure thorough, accurate coverage.
Before searching:
Use multiple search strategies in order:
From seed papers or initial results:
Organize found papers into a structured taxonomy:
| Paper | Year | Venue | Approach | Key Result | Code? | Relevance |
|-------|------|-------|----------|-----------|-------|-----------|
Group by methodology or approach type, not chronologically.
Map what exists vs. what's missing:
For each identified gap, verify it's real:
Rate confidence: HIGH (extensively searched, clearly missing), MEDIUM (searched but might have missed niche work), LOW (limited search, gap may exist elsewhere).
Produce a structured research landscape:
Every paper mentioned must have verified metadata:
npx claudepluginhub fcakyon/phd-skills --plugin phd-skillsSynthesizes existing knowledge on topics, identifies research gaps, and traces evolution of scientific ideas via systematic literature reviews using academic databases.
Runs a systematic literature review workflow: scope definition, multi-source search (arXiv, Semantic Scholar, Google Scholar), screening, extraction, synthesis, and gap analysis.
Researches SOTA AI/ML literature for topics, methods, or architectures; finds papers, builds comparison tables, recommends codebase strategies, and generates phased implementation plans.