nanoresearch-writing
Draft a LaTeX research paper from all previous stage outputs
npx skills add OpenRaiser/NanoResearch --skill nanoresearch-writing --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# 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.
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- Tools Required
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What does the nanoresearch-writing skill do?
Draft a LaTeX research paper from all previous stage outputs
How do I install it?
Run `npx skills add OpenRaiser/NanoResearch --skill nanoresearch-writing --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From OpenRaiser/NanoResearch, a repository with 1,480 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.