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Nanoresearch Writing

OrganizationPopular
OpenRaiser
nanoresearch-writing

Draft a LaTeX research paper from all previous stage outputs

Overview

PublisherOpenRaiser
RepositoryNanoResearch
Skill namenanoresearch-writing
Stars
1.4K
Forks
98
Bundled files
Instructions only
LicenseMIT
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 OpenRaiser on GitHub. Read the source before you install it.

Installation

Install the Nanoresearch Writing 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/OpenRaiser/NanoResearch.git /tmp/NanoResearch
mkdir -p .claude/skills
cp -r /tmp/NanoResearch/skills/nanoresearch-writing .claude/skills/nanoresearch-writing
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Nanoresearch Writing 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 Nanoresearch Writing 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 Nanoresearch Writing 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.

Writing Skill

Purpose

Take all previous outputs (ideation, planning, experiment results) and produce a complete LaTeX paper draft with figures, tables, and bibliography.

Tools Required

  • generate_latex: Generate and assemble LaTeX source files for each paper section
  • compile_pdf: Compile the LaTeX source into a PDF document
  • generate_figure: Produce publication-quality figures from experiment results

Input

  • ideation_output: Path to papers/ideation_output.json from the ideation skill
  • experiment_blueprint: Path to papers/experiment_blueprint.json from the planning skill
  • experiment_results: Path to experiments/ directory containing code and results from the experiment skill

Process

  1. Parse all upstream outputs to gather hypotheses, literature, experiment design, and results
  2. Generate the paper outline following a standard structure (Abstract, Introduction, Related Work, Method, Experiments, Conclusion)
  3. Draft the Abstract summarizing the problem, approach, and key findings
  4. Draft the Introduction motivating the research question and stating contributions
  5. Draft Related Work synthesizing the surveyed literature from the ideation stage
  6. Draft the Method section describing the proposed approach in detail
  7. Draft the Experiments section with dataset descriptions, baseline comparisons, and ablation results
  8. Generate figures (performance plots, ablation charts, architecture diagrams) using generate_figure
  9. Generate tables summarizing quantitative results
  10. Draft the Conclusion with a summary of findings and future work directions
  11. Compile the bibliography from all cited papers
  12. Assemble the full LaTeX document using generate_latex
  13. Compile to PDF using compile_pdf and verify the output

Output

Produces papers/draft/ directory containing:

  • main.tex: Complete LaTeX source of the paper
  • references.bib: Bibliography file with all citations
  • figures/: Generated figures in PDF or PNG format
  • tables/: LaTeX table source files
  • main.pdf: Compiled PDF of the paper draft

Frequently asked questions

What does the Nanoresearch Writing AI skill do?

Draft a LaTeX research paper from all previous stage outputs

Why use Nanoresearch Writing on TypingMind?

Because you install it once and use it with any model. Nanoresearch Writing 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 Nanoresearch Writing in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/OpenRaiser/NanoResearch/tree/main/skills/nanoresearch-writing. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Nanoresearch Writing?

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 Nanoresearch Writing?

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

Is the Nanoresearch Writing AI skill free?

Yes. It is published on GitHub by OpenRaiser under the MIT 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.

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