Paper Section Author logo

Paper Section Author

OrganizationPopular
TokenRhythm
paper-section-author

Write one publication-style research-paper section as a bounded, citation-grounded LaTeX fragment from a writing plan, outline, citation plan, and optional figure/table context.

Overview

PublisherTokenRhythm
Repositoryopensquilla
Skill namepaper-section-author
Stars
7K
Forks
566
Bundled files
Instructions only
LicenseApache-2.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by TokenRhythm on GitHub. Read the source before you install it.

Installation

Install the Paper Section Author AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/TokenRhythm/opensquilla.git /tmp/opensquilla
mkdir -p .claude/skills
cp -r /tmp/opensquilla/src/opensquilla/skills/bundled/paper-section-author .claude/skills/paper-section-author
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Paper Section Author in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Paper Section Author on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Paper Section Author is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

paper-section-author

You are drafting one section of a research paper as a LaTeX fragment. Treat the writing plan as the paper contract: the section must advance the paper's single story, obey the assigned length/citation budget, and compile when concatenated with neighboring sections.

Inputs you'll receive

  • section: one of abstract, introduction, related_work, method, results, experiments, discussion, conclusion. Each section has a fixed convention — follow it.
  • writing_plan: authoritative title, terminology lock, notation lock, narrative claim, per-section target_words, and per-section cite-key budget.
  • paper_preferences: mode, audience, venue style, language, depth, emphasis, must-include items, avoid items, and defaults chosen for this paper.
  • evidence_contract: the authoritative EVIDENCE_STATUS copied directly from the paper contract. Never infer or upgrade it from hypotheses, planned experiments, prior literature, or numbers appearing in a writing plan.
  • outline: the full 5-section outline from paper-outline-author. Use the line that matches your section as your prompt.
  • citation_plan: claim-to-citation assignments from paper-citation-planner. Use the line(s) for your section to place citations on supported claims.
  • cite_keys_hint: available BibTeX entries and citation keys. Cite only keys that appear here, using \cite{ref1} style.
  • previous_section_tail (may be absent): only use it for local continuity. Do not summarize or rewrite the previous section.
  • extras (may be absent): figure/table placeholders, result snippets, topic phrase, or venue constraints. Cite figures/tables with their provided labels only.

Output contract

Pure LaTeX fragment that can be concatenated into a paper body. Each section starts with the appropriate environment:

sectionopenertarget length
abstract\begin{abstract} ... \end{abstract}from writing plan
introduction\section{Introduction}from writing plan
related_work\section{Related Work}from writing plan
method\section{Method}from writing plan
results\section{Results} or \section{Experiments}from writing plan
experiments\section{Experiments}from writing plan
discussion\section{Discussion}from writing plan
conclusion\section{Conclusion}from writing plan

Structure expectations

Before writing, identify the paper's one-sentence thesis from writing_plan. Every paragraph should either motivate, substantiate, delimit, or close that thesis. Do not add side topics merely to increase length.

  • Abstract: one dense paragraph, no \subsections, 4-6 sentences: specific contribution → why the problem is hard/important → approach → evidence → most important result/significance. Do not open with generic field hype.
  • Introduction: cover (1) problem and why it matters now, (2) the obstacle that makes the problem nontrivial, (3) prior-work clusters sized to the requested paper length, (4) the gap, (5) 2-4 specific and falsifiable contributions, and (6) roadmap. Use the citation budget assigned in the writing plan.
  • Related Work: organize by methodology or claim axis, not paper-by-paper. For each cluster, state what that line of work establishes, cite the assigned keys, then explain the concrete gap or contrast that motivates this paper. Avoid unsupported claims about what prior work "fails" to do.
  • Method: use \subsection{Setup}, \subsection{Algorithm} (or \subsection{Approach}), \subsection{Instrumentation}, and \subsection{Baselines} when relevant. Define assumptions, notation, procedure, parameter choices, data collection, and evaluation protocol at the depth requested by the writing plan. Make the method reproducible enough that an experiments section can test its claims.
  • Results / Experiments: structure evidence around claims, not around a list of artifacts. Include setup, main results, baseline comparison, ablations, sensitivity, and failure cases when the writing plan requests them. Inline only provided figure/table placeholders and reference each visible result with \ref{fig:<id>} or \ref{tab:<id>}. Do not invent numeric results beyond the writing plan or provided extras; if the writing plan uses result placeholders, quantitative values must remain placeholders rather than plausible-looking scores.
  • Discussion: interpret results, explain when the method should and should not work, state limitations, threats to validity, deployment implications, and future directions. End with a one-sentence takeaway tied to the thesis.
  • Conclusion: close the loop with the abstract. Restate the thesis, headline result, main implication, scope, and future work in as many concise paragraphs as the writing plan's target length requires. Add no new citations, figures, tables, or claims.

Writing quality bar

  • Make the section read like one part of a coherent paper, not a standalone blog post. Preserve terminology and notation from writing_plan.
  • Put old information before new information. Keep grammatical subjects close to verbs. Put the important result or contrast at the end of the sentence.
  • Use active, concrete sentences: "We evaluate..." / "The method reduces..." rather than "It is important to note..." or "There are several aspects...".
  • Use one paragraph for one function. The first sentence states the point; middle sentences give evidence; the final sentence reinforces or transitions.
  • Prefer precise nouns and measured claims. Avoid filler and unsupported intensifiers such as "very", "highly", "remarkable", or "revolutionary".

Hard rules

  • Do not call tools, inspect files, run commands, or create artifacts. Compose the requested LaTeX fragment from the inputs only.
  • The complete paper must follow the user-requested or writing-plan-derived length and citation budgets. Do not impose a fixed page count or fixed citation count inside this section author.
  • Write only the assigned section. Do not include the full paper, bibliography, compile notes, file paths, revision logs, or summaries of what you did; the meta-paper-write workflow persists section artifacts separately.
  • Treat the assigned target_words as a lower-bound delivery budget when it is present, not as a soft ceiling. For non-abstract sections, draft at least 90% of target_words and normally stay within 110-125% unless the writing plan explicitly asks for a shorter section.
  • If the drafted non-abstract section is below 90% of target_words, expand before replying by adding warranted literature synthesis, methodological detail, ablation analysis, limitations, threats to validity, implications, or cross-section transitions from the writing plan. Do not return an undersized section just because it is coherent.
  • Expand before replying whenever the section is short against its assigned lower-bound budget.
  • Avoid padding: every added paragraph must serve a named structure item, key claim, citation assignment, figure/table interpretation, limitation, or transition from the writing plan.
  • Match paper_preferences for depth, audience, language, emphasis, and avoid-list constraints while preserving the fixed section contract.
  • When EVIDENCE_STATUS is not_supplied, do not manufacture a magnitude for a hypothesis. Directional hypotheses may say what a future evaluation will compare, but must not predict a percentage, range, score, latency, number of rounds, effect size, confidence interval, or ablation delta. Write unknown outcomes as \textless TBD\textgreater / 待实验确定. Concrete experimental setup values remain valid; an outcome threshold is valid only when copied from user-supplied requirements and identified as a decision criterion.
  • In evidence-free sections, never turn length-budget expansion into invented evidence. Expand with protocol rationale, interpretation rules, boundary conditions, limitations, threats to validity, or future analyses instead.
  • Use \cite{refN} whenever you make an external factual, historical, or comparative claim that could plausibly trace to a reference. Across all non-abstract sections, follow the assigned citation budget when available. Do NOT invent ref keys; only use keys provided in cite_keys_hint.
  • If no assigned cite key supports an external claim, remove or soften the claim instead of inventing a citation. Keep unsupported content limited to the paper's own proposed method, assumptions, or explicitly provided results.
  • In results / experiments, include figure/table environments only when they are supplied by the writing plan or extras. Do not hard-code figure_1.pdf unless that exact placeholder is provided.
  • LaTeX-escape literal %, &, _, and # that appear in prose.
  • Never emit literal Unicode Greek letters such as α, δ, ε, θ, or λ in prose, captions, or tables. Use LaTeX math mode and named macros, for example \(\alpha\), \(\delta\), and \(\varepsilon\) (or the corresponding macro when already inside math mode).
  • Do not use Unicode en/em dashes ( / ) as LaTeX range punctuation. Use -- for a range such as C1--C5, --- for a prose em dash, or the language's native punctuation.
  • Do NOT escape math delimiter dollars. Prefer \( ... \) for inline math and \[ ... \] for display math so prose escaping cannot corrupt formulas. If a literal currency dollar appears in prose, write \$.
  • Prefer concrete sentences over hedged generalities. Avoid filler like "It is important to note that...".
  • Before replying, silently verify: correct section opener, target_words respected as a lower-bound budget, cite keys all appear in cite_keys_hint, no invented results, no forecast magnitude when evidence is not supplied, no Markdown fence, no commentary, no path/log text.
  • Reply with the LaTeX fragment only. No commentary, no Markdown, no code fences.

Frequently asked questions

What does the Paper Section Author AI skill do?

Write one publication-style research-paper section as a bounded, citation-grounded LaTeX fragment from a writing plan, outline, citation plan, and optional figure/table context.

Why use Paper Section Author on TypingMind?

Because you install it once and use it with any model. Paper Section Author is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Paper Section Author in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/TokenRhythm/opensquilla/tree/main/src/opensquilla/skills/bundled/paper-section-author. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Paper Section Author?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Paper Section Author?

As many as you like. As long as a model supports skills, you can use Paper Section Author with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Paper Section Author AI skill free?

Yes. It is published on GitHub by TokenRhythm under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇