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Literature Research Agent Skill

> Use when the user wants to find related work, survey a research area, run a literature gap analysis, or discover open-source implementations. Maps existing work on a topic and confirms with web search what is missing. Triggers on phrases like "find papers on", "related work", "literature review", "what papers exist", "gap analysis", "literature gaps", "what's missing in", "open source implementation", or "papers with code".

1.3k tokens
context cost
SKILL.md, read when the skill is used
2
files
plus reference files
0
copies elsewhere
how many repositories repackaged it
438
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository
npx skills add https://github.com/fcakyon/phd-skills --skill literature-research

What comes with it

1 110 bytes besides the instruction
references/paper-search.md

The instruction itself

12 sections, as written by the author

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

Use multiple search strategies in order:

Use Paper Search CLI. Follow paper search setup if it is missing.

paper-search search 'object detection' -s fast -n 5
paper-search search 'object detection' -s arxiv,crossref -n 5

Inspect the JSON errors field and retain each paper's source ID and URL. Report unavailable providers rather than treating errors as an empty literature search. Vary search terms to catch different framings of the same concept. Use web search for proceedings and sources the CLI cannot access, and check Google Scholar, Semantic Scholar, and arXiv. Look for survey papers that map the area.

2b. Citation Chaining

From seed papers or initial results:

  • Forward chaining: run paper-search tool get_citing_papers <doi>
  • Backward chaining: run paper-search tool get_referenced_papers <doi>
  • Both accept a DOI or OpenAlex work ID, not a title. Inspect pagination and truncation metadata. Neither command promises an exhaustive citation list. Read the paper's reference section to verify cited works.
  • 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:

  • Coverage table: one row per approach, with the problem aspects it covers:
   | Approach | Representative Papers | Coverage | Gap? |
   |----------|----------------------|----------|------|
  • Rows marked Gap? and aspects no approach covers = potential gaps
  • For each candidate gap:
  • Search specifically for work filling this gap (it may exist under different terms)
  • Check very recent papers (last 6 months) on arXiv 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 (every box above checked, clearly missing), MEDIUM (niche venues unchecked), LOW (limited search, gap may exist under different terminology).

Step 6: Output Format

Produce a structured overview of the field. Title it Gap Analysis: [Topic] when the user asked for a gap analysis.

## Literature Research: [Topic]

### Research Landscape
[2-3 sentence overview of the research area]

### Paper Table
[Step 3 table: year, venue, approach, results, code availability]

### Coverage Table
[Step 4 table]

### Identified Gaps
| Gap | Confidence | Evidence of Absence | Why It Matters |
|-----|-----------|---------------------|---------------|

### Recommended Readings
[Top 5-10 most relevant papers for the user's specific work]

### Candidate Citations
[BibTeX entries for papers worth citing, verified per Citation Integrity]

Citation Integrity

Verify every paper you mention with check 5 (Citations) in paper-check before presenting it, including any result numbers you quote. Flag any detail you cannot confirm rather than guessing.

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How to use it

Copy the folder

Take fcakyon/literature-research from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.