Agent skill

Q Litreview

by TyrealQ in TyrealQ/q-skills

Draft or refine standalone literature review sections for academic manuscripts.

MITAuto-check passedResearch & Science

Install Q Litreview

skills CLI
$ npx skills add TyrealQ/q-skills --skill q-litreview -a claude-code

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

GitHub CLI
$ gh skill install TyrealQ/q-skills q-litreview --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/TyrealQ/q-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/q-scholar/q-litreview .claude/skills/q-litreview && 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
q-litreview
GitHub stars
108
Token cost
~981 tokens
SKILL.md length
427 words
Files
3 (incl. references)
Skills in repo
16
Repo updated
First seen
Licence
MIT

At a glance

Draft or refine standalone literature review sections for academic manuscripts.

  • Literature reviews
  • SKILL.md covers References, Core Principles, Argumentative Architecture and Workflow, plus 1 more section
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Theoretical framing

What it does

Q Litreview is an agent skill from TyrealQ/q-skills. Draft or refine standalone literature review sections for academic manuscripts. Builds progressive arguments from theory through prior research to the study's approach, with research questions earned through the argument. Use for literature reviews, theoretical framing, or research question development.

Its SKILL.md is about 980 tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files, including reference files (for example `references/interview_questions.md` and `references/literature_review_template.md`).

It sits in Research & Science, covering Hypothesis generation and Literature review. The repository describes itself as: End-to-end skills for academic writing, data analysis, teaching, and research communication. The licence is MIT.

When your agent uses it

  • Literature reviews
  • Theoretical framing
  • Research question development

Example prompts

  • “/q-litreview”

What it can do on your machine

Read from SKILL.md and the folder at commit d8aaee7. 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

Q Litreview loads about 981 tokens when it runs, and up to ~4.8k if it reads all its reference files. Until then it costs about 79 tokens; SKILL.md has 427 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~79
When it runs · the whole SKILL.md, loaded when a task matches
~981
With references · SKILL.md plus every file in references/, read only if the agent opens them
~4.8k

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 TyrealQ/q-skills at commit d8aaee7, republished under its MIT licence (© TyrealQ). 427 words, ~981 tokens.

Download SKILL.mdSave it as .claude/skills/q-litreview/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.
name
q-litreview
description
Draft or refine standalone literature review sections for academic manuscripts. Builds progressive arguments from theory through prior research to the study's approach, with research questions earned through the argument. Use for literature reviews, theoretical framing, or research question development.

Q-Litreview

Draft standalone literature review sections that follow the introduction. Produces a progressive argument across two subsections, arriving at research questions as the earned conclusion.

References

  • references/literature_review_template.md — structural guidance (draft dynamically, not verbatim)
  • references/interview_questions.md — interview protocol and refinement diagnostic
  • ../references/apa_style_guide.md — APA formatting, numbers, notation, formulas

Core Principles

  • Purely conceptual and theoretical; measurement methodology belongs in methods
  • Progressive argument: theory exposition, prior research, limitations, new approach, earned RQs
  • Narrative prose; no bullet points, em-dashes, or italicized sublabels within paragraphs
  • Prefer 3-12 sentence paragraphs; no standalone introductory paragraphs
  • Dense citation support with specific findings woven into prose, not cataloged
  • Two subsections with descriptive headers naming the dimension or activity
  • Each paragraph has one clear through-line advancing the argument
  • Research questions emerge as the logical conclusion, not restatements of the introduction

Argumentative Architecture

The templates describe what goes where; this section describes why each element appears where it does.

Subsection 1 (Theoretical Framework and Domain Application)
  • P1: Establish the framework (core constructs, key evidence, mechanisms)
  • P2: Show it applies beyond its original context (digital, mediated, computational extensions)
  • P3: Show the study's domain needs it (what existing frameworks capture and miss)
  • P4: Show where it has not yet been applied (the specific understudied context)

Each paragraph opens by extending or complicating the prior paragraph's conclusion.

Subsection 2 (Prior Research Tradition to New Approach)
  • P5: What the field knows and how (foundational studies, methodological pattern)
  • P6: How the environment has changed (platform dynamics, new metrics)
  • P7: Why existing tools cannot capture the new reality (limitations)
  • P8: The approach that can (content-side framing, earned RQs)
Show full SKILL.md (168 more words)Show less
Subsection Headers

Use descriptive headers: "[Theory] in [Domain]: [Construct 1] and [Construct 2] in [Context]" and "[Field]-Mediated [Activity]: From [Existing] to [New Approach]."

Research Question Framing

RQs should feel earned by the argument, connected to the preceding analysis rather than restating the introduction's wording.

Workflow

StepActionReference
1Interview: if an introduction exists, read it first to identify literature it previews. Ask what literature review length is typical for the target venue, and scale the eight-paragraph structure to fit.references/interview_questions.md
2Outline: map progressive argument across 8 paragraphs (4 per subsection)Architecture above
3Draft: write flowing paragraphs of 6-10 sentencesreferences/literature_review_template.md
4Coordination (if intro exists): verify intro compresses, lit review elaborates; theory defined here; concrete examples here; coined phrases in one section only; RQ framing differs—
5Refinement (existing drafts): run diagnostic, then revise per Architecturereferences/interview_questions.md

Scope

Include: Theoretical framework (origins, dimensions, mechanisms, extensions), synthesis of prior research with specific contributions, gaps as narrative consequences, conceptual motivation for the analytical approach, earned research questions.

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

Files

SKILL.md and 2 other files (references) in skills/q-scholar/q-litreview of TyrealQ/q-skills.

  • SKILL.md
  • references/interview_questions.md
  • references/literature_review_template.md

Open the folder on GitHubat commit d8aaee7

Compare with similar skills

Q Litreview 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.

Q Litreview compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Q Litreview this skillTyrealQ/q-skills108—~981Automated safety check: PassMIT
Nature Paper CardYuan1z0825/nature-skills47k2 repos~2.1kAutomated safety check: PassApache-2.0
Research SurveyEvoScientist/EvoSkills4783 repos~2.5kAutomated safety check: PassApache-2.0
Research Proposalluwill/research-skills862—~4.5kAutomated safety check: NotesNone
Paper NavigatorEvoScientist/EvoSkills478—~6.3kAutomated safety check: NotesApache-2.0
Research PlatformZS520L/HanakoPro103—~1.1kAutomated safety check: PassApache-2.0

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Questions about Q Litreview

What does Q Litreview do?

Draft or refine standalone literature review sections for academic manuscripts. Q Litreview is an agent skill from TyrealQ/q-skills. Draft or refine standalone literature review sections for academic manuscripts.

When should I use Q Litreview?

Q Litreview fits situations like: literature reviews; theoretical framing; research question development.

How do I install Q Litreview in Claude Code?

Run `npx skills add TyrealQ/q-skills --skill q-litreview -a claude-code`. Or copy the skill folder (skills/q-scholar/q-litreview in TyrealQ/q-skills) into .claude/skills/q-litreview in your project. Claude Code loads it when a task matches its description.

How do I install Q Litreview in Codex?

Run `npx skills add TyrealQ/q-skills --skill q-litreview -a codex`. Or copy the skill folder (skills/q-scholar/q-litreview in TyrealQ/q-skills) into .agents/skills/q-litreview in your project. Codex loads it when a task matches its description.

Can I use Q Litreview 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 TyrealQ/q-skills --skill q-litreview -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/q-litreview, .gemini/skills/q-litreview, .github/skills/q-litreview and .opencode/skills/q-litreview in your project.

What does Q Litreview need to run?

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

Does Q Litreview 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 Q Litreview 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 Q Litreview use?

Q Litreview 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 Q Litreview use?

About 981 tokens (SKILL.md is roughly 3.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 3.8k tokens, read only when the agent opens those files.

What are the alternatives to Q Litreview?

Skills that share tags, products or a category with Q Litreview: Nature Paper Card (Yuan1z0825/nature-skills, 47k stars), Research Survey (EvoScientist/EvoSkills, 478 stars), Research Proposal (luwill/research-skills, 862 stars) and Paper Navigator (EvoScientist/EvoSkills, 478 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Q Litreview?

TyrealQ (a GitHub user) maintains it in TyrealQ/q-skills, which has 108 GitHub stars. The repository holds 16 skills in this directory. The repository was last updated on September 23, 2026.

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