Agent skill

Q Methods

by TyrealQ in TyrealQ/q-skills

Draft methods sections for academic manuscripts in narrative style with appendix cross-references.

MITAuto-check passedData & Analytics

Install Q Methods

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

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

GitHub CLI
$ gh skill install TyrealQ/q-skills q-methods --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-methods .claude/skills/q-methods && 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-methods
GitHub stars
108
Token cost
~1.1k tokens
SKILL.md length
501 words
Files
2 (incl. references)
Skills in repo
16
Repo updated
First seen
Licence
MIT

At a glance

Draft methods sections for academic manuscripts in narrative style with appendix cross-references.

  • Writing methods
  • SKILL.md covers References, Core Principles, Section Architecture and Appendix Strategy, plus 2 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Describing data collection

What it does

Q Methods is an agent skill from TyrealQ/q-skills. Draft methods sections for academic manuscripts in narrative style with appendix cross-references. Use for writing methods, describing data collection, preprocessing, or computational analysis procedures.

Its SKILL.md is about 1.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/methods_template.md`).

It sits in Data & Analytics. 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

  • Writing methods
  • Describing data collection
  • Computational analysis procedures

Example prompts

  • “/q-methods”

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 Methods loads about 1.1k tokens when it runs, and up to ~2k if it reads all its reference files. Until then it costs about 54 tokens; SKILL.md has 501 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~54
When it runs · the whole SKILL.md, loaded when a task matches
~1.1k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~2k

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). 501 words, ~1,063 tokens.

Download SKILL.mdSave it as .claude/skills/q-methods/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
q-methods
description
Draft methods sections for academic manuscripts in narrative style with appendix cross-references. Use for writing methods, describing data collection, preprocessing, or computational analysis procedures.

Q-Methods

Draft methods sections in clear narrative style for broad scholarly audiences.

References

  • references/methods_template.md — structural guidance (draft dynamically, not verbatim)
  • ../references/appendix_template.md — shared appendix structure (methods and results)
  • ../references/apa_style_guide.md — APA formatting, numbers, notation, formulas

Core Principles

  • Narrative prose; no bullet points, em-dashes, or standalone introductory paragraphs
  • Prefer 3-12 sentence paragraphs; merge pre-table intros into post-table narrative
  • Conceptual language; avoid implementation jargon ("Interview responses were organized by dimension" not "We filtered the DataFrame")
  • Organize by logical workflow stages: data collection, preprocessing, analysis, validation
  • Wrap all formulas and operator-heavy expressions in inline code backticks, in both prose and table cells (see ../references/apa_style_guide.md, "Equations, Formulas, and Set Notation")
  • Strict methods/results separation: describe what was done and how, not what was found

Section Architecture

The template describes what goes where; this section describes why each element appears where it does and how sections connect narratively.

Data Collection and Preprocessing

Open by grounding the reader in the empirical scope — sample size, date range, breakdown by key variables. Describe preprocessing conceptually so the reader understands what was done to the data and why, without needing to see code or configuration. Technical parameters belong in the appendix; the main text explains the reasoning behind choices. End with a transition that motivates the analytical approach.

Data Analysis

Open with a pipeline overview that tells the reader the full analytical arc before diving into components. Each method choice should be justified conceptually — why this method fits this research question — not merely named. Reference the appendix for technical details (hyperparameters, prompts, thresholds). The reader should understand the analytical logic without consulting the appendix.

Validation

Describe human validation as a scholarly activity, not a mechanical procedure. Explain sampling rationale, coding protocols, and what the validation is designed to confirm. Leave placeholders for reliability metrics if pending, clearly marked for later completion.

Show full SKILL.md (202 more words)Show less

Appendix Strategy

The main text presents the analytical logic at a level accessible to the target audience; appendices provide the detail needed for reproducibility.

General guidance (apply by default): If a parameter is needed to understand the analytical logic, include it in the main text (sample size, key thresholds, model names). If it is needed to replicate the analysis but not to follow the argument, place it in an appendix (full configuration tables, system prompts, coding rubrics, preprocessing specifications). Cross-reference appendices at the point of first relevance: "Detailed parameters are provided in Appendix A." Use placeholders for pending contributions.

Then ask the user to refine the standard-vs-detail boundary for their study, since it is context-dependent. A consistency threshold may be a standard parameter in one study but require appendix-level justification in another.

Workflow

StepActionReference
1Gather context: sample, date range, key variables, analytical approach—
2Draft sections per structure above; use template as structural guide, not verbatim scriptreferences/methods_template.md
3Separate main text (logic) from appendix (reproducibility detail)../references/appendix_template.md
4Ask user to refine the standard-vs-detail boundary—
5Tighten: apply Core Principles, ensure conceptual language throughout../references/apa_style_guide.md

Scope

Include: Sample and corpus descriptive overview, preprocessing procedures, analytical methods, validation protocols.

© 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 1 other file (references) in skills/q-scholar/q-methods of TyrealQ/q-skills.

  • SKILL.md
  • references/methods_template.md

Open the folder on GitHubat commit d8aaee7

Compare with similar skills

Q Methods 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.

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Chart Visualizationbytedance/deer-flow83k2 repos~840Automated safety check: PassMIT
TimesFM Forecastinggoogle-research/timesfm34k—~4.7kAutomated safety check: PassApache-2.0

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Questions about Q Methods

What does Q Methods do?

Draft methods sections for academic manuscripts in narrative style with appendix cross-references. Q Methods is an agent skill from TyrealQ/q-skills. Draft methods sections for academic manuscripts in narrative style with appendix cross-references.

When should I use Q Methods?

Q Methods fits situations like: writing methods; describing data collection; computational analysis procedures.

How do I install Q Methods in Claude Code?

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

How do I install Q Methods in Codex?

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

Can I use Q Methods 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-methods -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-methods, .gemini/skills/q-methods, .github/skills/q-methods and .opencode/skills/q-methods in your project.

What does Q Methods need to run?

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

Does Q Methods 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 Methods 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 Methods use?

Q Methods 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 Methods use?

About 1.1k tokens (SKILL.md is roughly 4.3k 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 901 tokens, read only when the agent opens those files.

What are the alternatives to Q Methods?

Skills that share tags, products or a category with Q Methods: Exploratory Data Analysis (spacering-net/codeg, 3.8k stars), Matplotlib (zLanqing/codex-claude-academic-skills, 4.6k stars), Scikit Learn (zLanqing/codex-claude-academic-skills, 4.6k stars) and Chart Visualization (bytedance/deer-flow, 83k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Q Methods?

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.