Agent skill

Q Intro

by TyrealQ in TyrealQ/q-skills

Draft or refine introduction sections for academic manuscripts from phenomenon to theory to contribution.

MITAuto-check passedResearch & Science

Install Q Intro

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

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

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

At a glance

Draft or refine introduction sections for academic manuscripts from phenomenon to theory to contribution.

  • Writing introductions
  • 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
  • Literature framing

What it does

Q Intro is an agent skill from TyrealQ/q-skills. Draft or refine introduction sections for academic manuscripts from phenomenon to theory to contribution. Use for writing introductions, literature framing, or research question development.

Its SKILL.md is about 1.1k 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/introduction_template.md`).

It sits in Research & Science, covering Hypothesis generation. 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 introductions
  • Literature framing
  • Research question development

Example prompts

  • “/q-intro”

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 Intro loads about 1.1k tokens when it runs, and up to ~4.7k if it reads all its reference files. Until then it costs about 50 tokens; SKILL.md has 523 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~50
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
~4.7k

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). 523 words, ~1,096 tokens.

Download SKILL.mdSave it as .claude/skills/q-intro/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.
name
q-intro
description
Draft or refine introduction sections for academic manuscripts from phenomenon to theory to contribution. Use for writing introductions, literature framing, or research question development.

Q-Intro

Draft and refine introduction sections for academic manuscripts. Supports interview-based drafting from scratch and diagnostic refinement of existing drafts.

References

  • references/introduction_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

  • Narrative prose; no bullet points, em-dashes, or standalone introductory paragraphs
  • Prefer 3-12 sentence paragraphs; each paragraph has one clear through-line
  • Trace a single narrative arc through the literature, grounded in the target discipline first
  • Introduce theoretical frameworks as the resolution to a need established in the preceding paragraph
  • Bridge every paragraph transition explicitly: each opening resolves or extends the prior paragraph's conclusion
  • Design research questions with clear scope progression (e.g., descriptive, relational, conditional)
  • Enumerate contributions with parallel structure; include a brief roadmap at conclusion

Argumentative Architecture

The templates describe what goes where; this section describes why and how paragraphs connect.

Paragraph Roles

A full introduction is typically 3 to 5 paragraphs; P1 to P5 may combine or split depending on venue length.

P1 (Phenomenon and Stakes): Establish the broader trend, signal the specific context, end with what is at risk or unknown. The final sentence should implicitly raise a question P2 will address.

P2 (Literature and Gaps): Begin from the target discipline's core traditions. Progress outward as the discipline's tools prove insufficient. Reframe the central question. Let gaps emerge as consequences of the trajectory, not disconnected items.

P3 (Theory, Study, and RQs): Open with a bridge resolving P2's gaps. Introduce the primary framework as the answer to P2's question. If using a complementary framework, explain what dimension it captures that the primary framework alone cannot. Describe the empirical context and justify its selection. State research questions in progressive scope with a brief methods preview.

P4 (Contributions): Enumerate theoretical, methodological, and empirical contributions. Signal applicability beyond the immediate context.

P5 (Roadmap): Brief orientation to remaining sections.

Show full SKILL.md (216 more words)Show less
Bridge Patterns
  • P1 to P2: stakes or implicit question; P2 opens by grounding in the discipline's response
  • P2 to P3: gaps that constrain understanding; P3 states what is needed to address them
  • P3 to P4: methods preview; P4 opens with contributions
  • P4 to P5: final contribution; P5 opens with roadmap
Within-Paragraph Logic

Literature streams enter because the previous stream raised a question it cannot answer. Gaps feel like inevitable consequences of the trajectory. The theoretical framework is introduced as the resolution to a problem, not as background information. Key variable terms should capture the full dimensionality of what is being studied.

Workflow

StepActionReference
1Interview: begin with target venue to anchor disciplinary groundingreferences/interview_questions.md
2Draft the five-component introductionreferences/introduction_template.md
3Tighten: vary sentence length, cut filler, favor direct subject-verb openingsCore Principles above
4Refinement (existing drafts): run diagnostic, then revise per Architecturereferences/interview_questions.md (final section)

Scope

Include: Phenomenon contextualization, prior literature and gaps (narrative arc), theoretical framework (motivated), research questions (progressive scope) with brief method preview, contributions, roadmap.

When a standalone lit review exists: Compress the intro's literature to 1-2 sentences per stream with parenthetical citations. Introduce theory by stating what it does, not its full definition. Place concrete examples in the lit review. Integrate gaps as narrative consequences, not enumerated lists.

© 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-intro of TyrealQ/q-skills.

  • SKILL.md
  • references/interview_questions.md
  • references/introduction_template.md

Open the folder on GitHubat commit d8aaee7

Compare with similar skills

Q Intro 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 Intro compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Q Intro this skillTyrealQ/q-skills108—~1.1kAutomated safety check: PassMIT
Hypothesis Generationspacering-net/codeg3.9k14 repos~3.6kAutomated safety check: NotesMIT
Nature Paper CardYuan1z0825/nature-skills47k2 repos~2.1kAutomated safety check: PassApache-2.0
Hypothesis GenerationK-Dense-AI/claude-scientific-writer2.4k2 repos~3.9kAutomated safety check: PassMIT
Good QuestionRimagination/good-question3051 repos~4.3kAutomated safety check: PassMIT
High Stakes Analytics Decision Lablimingrui679-design/high-stakes-analytics-decision-lab1k—~2.2kAutomated safety check: PassMIT

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Questions about Q Intro

What does Q Intro do?

Draft or refine introduction sections for academic manuscripts from phenomenon to theory to contribution. Q Intro is an agent skill from TyrealQ/q-skills. Draft or refine introduction sections for academic manuscripts from phenomenon to theory to contribution.

When should I use Q Intro?

Q Intro fits situations like: writing introductions; literature framing; research question development.

How do I install Q Intro in Claude Code?

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

How do I install Q Intro in Codex?

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

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

What does Q Intro need to run?

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

Does Q Intro 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 Intro 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 Intro use?

Q Intro 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 Intro use?

About 1.1k tokens (SKILL.md is roughly 4.4k 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 3.6k tokens, read only when the agent opens those files.

What are the alternatives to Q Intro?

Skills that share tags, products or a category with Q Intro: Hypothesis Generation (spacering-net/codeg, 3.9k stars), Nature Paper Card (Yuan1z0825/nature-skills, 47k stars), Hypothesis Generation (K-Dense-AI/claude-scientific-writer, 2.4k stars) and Good Question (Rimagination/good-question, 305 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Q Intro?

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.