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literature-research

literature-research

github.com/fcakyonProductivity43785 installsUpdated 2w ago
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About literature-research

literature-research is a methodology skill for researchers conducting systematic literature reviews. It guides topic scoping, multi-strategy paper discovery, gap validation, and structured reporting with citation checks.

Key features

  1. 01Define research scope and criteria
  2. 02Search across sources and venues
  3. 03Follow forward and backward citations
  4. 04Organize papers by approach
  5. 05Identify and validate research gaps
  6. 06Check citation metadata

Use cases

  1. 01Planning a systematic literature review
  2. 02Finding papers across different terminology
  3. 03Mapping methods and research gaps
  4. 04Preparing verified citations and recommendations

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/fcakyon/phd-skills --skill literature-research

After installing, type/literature-researchin Claude Code to confirm it loaded.

Details

From the project README

Literature Research Methodology

You are helping a researcher conduct systematic literature research. Follow this methodology to ensure thorough, accurate coverage.

Step 1: Scope Definition

Before searching:

  • Clarify the exact research question or topic boundary
  • Identify key terms and their synonyms (e.g., "content moderation" = "safety filtering" = "NSFW detection")
  • Define inclusion/exclusion criteria (year range, venue type, methodology type)
  • Ask if the user has seed papers to start from

Step 2: Systematic Search

Use multiple search strategies in order:

2a. Direct Search
  • Search for the topic using key terms via web search
  • Target: Google Scholar, Semantic Scholar, arXiv, DBLP
  • Vary search terms to catch different framings of the same concept
2b. Citation Chaining

From seed papers or initial results:

  • Forward chaining: who cited this paper? (find via Semantic Scholar or Google Scholar)
  • Backward chaining: what does this paper cite? (read its references)
  • This catches papers that use different terminology but address the same problem
2c. Venue Mining
  • Identify top venues for the topic (conferences, journals, workshops)
  • Check recent proceedings of these venues for relevant papers
  • Workshop papers often contain early-stage work not yet in main conferences
2d. Open Source Discovery
  • Search GitHub for implementations related to the topic
  • Check Papers With Code for the specific task/dataset
  • Look for "awesome-X" lists curated by the community

Step 3: Categorization

Organize found papers into a structured taxonomy:

| Paper | Year | Venue | Approach | Key Result | Code? | Relevance |
|-------|------|-------|----------|-----------|-------|-----------|

Group by methodology or approach type, not chronologically.

Step 4: Gap Identification

Map what exists vs. what's missing:

  1. Coverage matrix: rows = problem aspects, columns = existing approaches
  2. Empty cells = potential gaps
  3. For each candidate gap:
    • Search specifically for work filling this gap (it may exist under different terms)
    • Check very recent papers (last 6 months) that might have addressed it
    • Assess whether the gap is meaningful (would filling it advance the field?)

Step 5: Gap Validation

For each identified gap, verify it's real:

  • Searched with at least 3 different phrasings
  • Checked proceedings of top-3 venues from last 2 years
  • No preprint on arXiv addressing this gap
  • The gap is technically feasible to address
  • Filling the gap would be a meaningful contribution

Rate confidence: HIGH (extensively searched, clearly missing), MEDIUM (searched but might have missed niche work), LOW (limited search, gap may exist elsewhere).

Step 6: Output Format

Produce a structured research landscape:

  1. Topic summary — 2-3 sentence overview of the research area
  2. Paper table — categorized list with year, venue, approach, results, code availability
  3. Gap table — identified gaps with confidence levels and evidence
  4. Recommended readings — top 5-10 most relevant papers for the user's specific work
  5. Candidate citations — BibTeX entries for papers worth citing (MUST verify against DBLP before presenting)

Citation Integrity

Every paper mentioned must have verified metadata:

  • Author names: cross-check with DBLP or the paper's official page
  • Venue and year: confirm against the published version (not preprint)
  • Claims about results: only include numbers you can trace to a specific table/figure in the paper
  • If uncertain about any detail, flag it explicitly rather than guessing

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