Agent skill

Literature Research

by fcakyon in fcakyon/phd-skills

A skill your agent uses when the user wants to find related work, survey a research area, identify literature gaps, or discover open-source implementations.

MITAuto-check passedResearch & Science

Install Literature Research

skills CLI
$ npx skills add fcakyon/phd-skills --skill literature-research -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install fcakyon/phd-skills literature-research --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/fcakyon/phd-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugin/skills/literature-research .claude/skills/literature-research && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
literature-research
GitHub stars
415
Token cost
~999 tokens
SKILL.md length
491 words
Files
1
Skills in repo
12
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when the user wants to find related work, survey a research area, identify literature gaps, or discover open-source implementations.

  • Works in 6 steps: Scope Definition → Systematic Search → Categorization → …
  • The user wants to find related work
  • SKILL.md covers Step 1: Scope Definition, Step 2: Systematic Search, Step 3: Categorization and Step 4: Gap Identification, plus 3 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Literature Research is an agent skill from fcakyon/phd-skills. Use when the user wants to find related work, survey a research area, identify literature gaps, or discover open-source implementations. Triggers on phrases like "find papers on", "related work", "literature review", "what papers exist", "open source implementation", or "papers with code".

Its SKILL.md is about 1000 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Research & Science, covering Literature review and Academic paper search. The repository describes itself as: PhD Research Skills for Claude Code: paper reproduction, experiment design, paper review, result comparison and more. The licence is MIT.

When your agent uses it

  • The user wants to find related work
  • Survey a research area
  • Identify literature gaps
  • Discover open-source implementations

Example prompts

  • “find papers on”
  • “related work”
  • “literature review”
  • “/literature-research”

Workflow steps

6 steps, taken from the step headings in SKILL.md.

  1. Scope Definition
  2. Systematic Search
  3. Categorization
  4. Gap Identification
  5. Gap Validation
  6. Output Format

What it can do on your machine

Read from SKILL.md and the folder at commit 67acd61. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Literature Research loads about 999 tokens when it runs. Until then it costs about 78 tokens; SKILL.md has 491 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~78
When it runs · the whole SKILL.md, loaded when a task matches
~999

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from fcakyon/phd-skills at commit 67acd61, republished under its MIT licence (© fcakyon). 491 words, ~999 tokens.

Download SKILL.mdSave it as .claude/skills/literature-research/SKILL.md (or your agent's skills folder).
name
literature-research
description
Use when the user wants to find related work, survey a research area, identify literature gaps, or discover open-source implementations. Triggers on phrases like "find papers on", "related work", "literature review", "what papers exist", "open source implementation", or "papers with code".

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:

  • 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?)
Show full SKILL.md (196 more words)Show less

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

© fcakyon, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in plugin/skills/literature-research of fcakyon/phd-skills.

Open the folder on GitHubat commit 67acd61

Compare with similar skills

Literature Research next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Literature Research compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Literature Research this skillfcakyon/phd-skills415—~999Automated safety check: PassMIT
Literature Reviewneflibata-feng/MyArxiv-Agent12620 repos~5.9kAutomated safety check: NotesMIT
Preprint Search on bioRxivLigphiDonk/Oh-my--paper73912 repos~3.7kAutomated safety check: PassMIT
Systematic Literature Review Builderbytedance/deer-flow84k2 repos~4.3kAutomated safety check: PassMIT
Paper Research on arXivXiaomiMiMo/MiMo-Code14k—~1.5kAutomated safety check: PassMIT
Literature Review AgentAr9av/PaperOrchestra6791 repos~5.2kAutomated safety check: PassCustom licence

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Questions about Literature Research

What does Literature Research do?

A skill your agent uses when the user wants to find related work, survey a research area, identify literature gaps, or discover open-source implementations. Literature Research is an agent skill from fcakyon/phd-skills. Use when the user wants to find related work, survey a research area, identify literature gaps, or discover open-source implementations.

When should I use Literature Research?

Literature Research fits situations like: the user wants to find related work; survey a research area; identify literature gaps; discover open-source implementations.

How do I install Literature Research in Claude Code?

Run `npx skills add fcakyon/phd-skills --skill literature-research -a claude-code`. Or copy the skill folder (plugin/skills/literature-research in fcakyon/phd-skills) into .claude/skills/literature-research in your project. Claude Code loads it when a task matches its description.

How do I install Literature Research in Codex?

Run `npx skills add fcakyon/phd-skills --skill literature-research -a codex`. Or copy the skill folder (plugin/skills/literature-research in fcakyon/phd-skills) into .agents/skills/literature-research in your project. Codex loads it when a task matches its description.

Can I use Literature Research in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add fcakyon/phd-skills --skill literature-research -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/literature-research, .gemini/skills/literature-research, .github/skills/literature-research and .opencode/skills/literature-research in your project.

What does Literature Research need to run?

SKILL.md names no scripts, command-line tools or credentials: Literature Research is instructions for the agent only.

Does Literature Research access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Literature Research safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Literature Research use?

Literature Research is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Literature Research use?

About 999 tokens (SKILL.md is roughly 4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Literature Research?

Skills that share tags, products or a category with Literature Research: Literature Review (neflibata-feng/MyArxiv-Agent, 126 stars), Preprint Search on bioRxiv (LigphiDonk/Oh-my--paper, 739 stars), Systematic Literature Review Builder (bytedance/deer-flow, 84k stars) and Paper Research on arXiv (XiaomiMiMo/MiMo-Code, 14k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Literature Research?

fcakyon (a GitHub user) maintains it in fcakyon/phd-skills, which has 415 GitHub stars. The repository holds 12 skills in this directory. The repository was last updated on September 16, 2026.

Source: fcakyon/phd-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.