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Zsun79/LitReviewSkill

LitReview Skill is an installable agent skill for end-to-end literature review generation. It helps agents conduct literature reviews with a well-designed and widely used review framework so the search process is broad, iterative, and less likely to miss relevant articles.

History

Review weekly changes to SKILL.md before updating. Dates mark the weeks in which we observed each version; checks apply to the recorded commits.

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skills/write-literature-review/SKILL.md

Week of Nov 2, 2026 · Line counts unavailable

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Verified commit a53cd419352e4dd05958f67340fde3642d84abc3

29GitHub stars
2stars in 7 days
1skill in this repository
0commits in 30 days

Heat

2.5
  • Star growth, last 7 daysNot available
  • Star growth, last 24 hoursNot available
  • Rank movement, last 7 daysNot available
  • Commits, last 30 daysNot available
  • Accounts asking about it through MCP, last 7 daysNot available
  • Hot votes this weekNot available

Heat never changes the order by stars, and sponsorship never touches it. How heat works

Stars over time

Oct 25, 2026Nov 5, 202629

30-day change not yet available: not enough history.

Individual skills in this repository

How it works

write-literature-review

When your agent uses it

Iterative literature-review workflow for a research topic. Use this skill to draft up to 10 search keywords, build a seed set from OpenAlex title-and-abstract matches, expand by backward and forward citations, screen candidates by title and abstract, repeat until no new relevant papers remain, rank the final set, inspect up to 30 full texts, build a concept-reference knowledge graph, and write a literature review grounded only in the final included references.

What it loads into context

Frontmatter

99 tokens

Always available to the agent

SKILL.md

1,178 tokens

When the skill is activated

Reference documents

5,223 tokens

Loaded on request

Token counts are estimates. Scripts run separately; they are not counted as reference context.

The playbook

  1. Overview
  2. Workflow
  3. Workspace Layout
  4. Deliverables
  5. Subtasks
  6. Screening Rules
  7. References

Scripts executed separately

  • scripts/build_knowledge_graph.py
  • scripts/lit_review_pipeline.py

Files

  • SKILL.mdcore5,603 bytes
  • SKILL.mdcore5,603 bytes
  • agents/openai.yamlasset238 bytes
  • references/citation format/APA.mddoc846 bytes
  • references/citation format/Chicago Author-Date.mddoc903 bytes
  • references/citation format/Harvard.mddoc938 bytes
  • references/citation format/IEEE.mddoc808 bytes
  • references/citation format/MLA.mddoc723 bytes
  • references/citation format/Vancouver.mddoc748 bytes
  • references/review_template.mddoc2,267 bytes
  • references/review_writing.mddoc4,065 bytes
  • references/workflow.mddoc8,928 bytes
  • references/workflow_logging.mddoc3,251 bytes
  • scripts/build_knowledge_graph.pyruns7,834 bytes
  • scripts/lit_review_pipeline.pyruns30,727 bytes

No excerpt is shown for this license. Read the source on GitHub.

View the complete source on GitHub

Skills included

  • write-literature-review

Repository facts

License
No license detected
Created
Apr 23, 2026
Last pushed
Jun 8, 2026
Forks
4
Open issues
0
Project activity
Slowing

Before you install

Network or broad shell

Automated signals, not a guarantee

Checked Nov 6, 2026

Not fully analyzed: some files were too long, unreadable or missing. This never lowers the level.

Show 1 note
  • skills/write-literature-review/SKILL.md:1 Analysis incomplete: Referenced executable target unavailable; not analyzed
Show all 32 signals by file

skills/write-literature-review/references/citation format/APA.md

  • Network accessline 9
    Lee, M., & Carter, J. (2021). Auditable workflows for systematic literature mapping. *Journal of Research Synthesis, 14*(2), 101-119. https://doi.org/10.0000/jrs.2021.0142
  • Network accessline 11
    Nguyen, P., Alvarez, S., & Brooks, T. (2023). Iterative citation expansion for high-recall evidence reviews. *International Journal of Digital Scholarship, 9*(1), 44-63. https://doi.org/10.0000/ijds.2023.0914

skills/write-literature-review/references/citation format/Chicago Author-Date.md

  • Network accessline 9
    Lee, Maya, and Jordan Carter. 2021. "Auditable Workflows for Systematic Literature Mapping." *Journal of Research Synthesis* 14 (2): 101-19. https://doi.org/10.0000/jrs.2021.0142.
  • Network accessline 11
    Nguyen, Priya, Sofia Alvarez, and Thomas Brooks. 2023. "Iterative Citation Expansion for High-Recall Evidence Reviews." *International Journal of Digital Scholarship* 9 (1): 44-63. https://doi.org/10.0000/ijds.2023.0914.

skills/write-literature-review/references/citation format/Harvard.md

  • Network accessline 9
    Lee, M. and Carter, J. 2021, 'Auditable workflows for systematic literature mapping', *Journal of Research Synthesis*, vol. 14, no. 2, pp. 101-119, viewed 8 June 2026, <https://doi.org/10.0000/jrs.2021.0142>.
  • Network accessline 11
    Nguyen, P., Alvarez, S. and Brooks, T. 2023, 'Iterative citation expansion for high-recall evidence reviews', *International Journal of Digital Scholarship*, vol. 9, no. 1, pp. 44-63, viewed 8 June 2026, <https://doi.org/10.0000/ijds.2023.0

skills/write-literature-review/scripts/build_knowledge_graph.py

  • Executable scriptline 1
    #!/usr/bin/env python3

skills/write-literature-review/scripts/lit_review_pipeline.py

  • Executable scriptline 1
    #!/usr/bin/env python3
  • Network accessline 18
    OPENALEX_WORKS = "https://api.openalex.org/works"
  • Network accessline 19
    CORE_SEARCH = "https://api.core.ac.uk/v3/search/works/"
  • Network accessline 27
    headers = headers or {}     for attempt in range(retries):         req = urllib.request.Request(url, headers={"User-Agent": "write-literature-review-skill", **headers})
  • Network accessline 28
    for attempt in range(retries):         req = urllib.request.Request(url, headers={"User-Agent": "write-literature-review-skill", **headers})         try:
  • Network accessline 29
    req = urllib.request.Request(url, headers={"User-Agent": "write-literature-review-skill", **headers})
  • Network accessline 30
    try:             with urllib.request.urlopen(req, timeout=45) as resp:                 return json.loads(resp.read().decode("utf-8"))
  • Network accessline 31
    with urllib.request.urlopen(req, timeout=45) as resp:
  • Possible obfuscationline 279
    pdf = bytearray(b"%PDF-1.4\n%\xe2\xe3\xcf\xd3\n")
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    seen: dict[str, dict[str, Any]] = {}     for row in rows:         doi = (row.get("doi") or "").lower().replace("https://doi.org/", "").strip()
  • Network accessline 315
    for row in rows:         doi = (row.get("doi") or "").lower().replace("https://doi.org/", "").strip()         title = title_key(row)
  • Network accessline 316
    doi = (row.get("doi") or "").lower().replace("https://doi.org/", "").strip()
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How the signals fit together

Facts from a static read of the files at the pinned commit. They describe what the code does, not why.

Declared and executed: 3 facts
Signal confidence: 32 facts

Works with

Agent compatibility, from the files in this repository
AgentStatusEvidenceInstall to
Claude CodeCompatibleStandard SKILL.md skills/write-literature-review/SKILL.md.claude/skills/<skill-name>/
CodexCompatibleStandard SKILL.md skills/write-literature-review/SKILL.md.agents/skills/<skill-name>/
CursorCompatibleStandard SKILL.md skills/write-literature-review/SKILL.md.cursor/skills/<skill-name>/
Gemini CLICompatibleStandard SKILL.md skills/write-literature-review/SKILL.md.gemini/skills/<skill-name>/
GitHub CopilotCompatibleStandard SKILL.md skills/write-literature-review/SKILL.md.github/skills/<skill-name>/
OpenCodeCompatibleStandard SKILL.md skills/write-literature-review/SKILL.md.opencode/skills/<skill-name>/
  • Native The repository ships a manifest, folder or frontmatter field for this agent.
  • Compatible A standard SKILL.md that this agent can read.
  • Unknown No evidence either way.

Derived automatically from paths, manifests and frontmatter. Not tested on each agent.