# Nanoresearch Writing

> Draft a LaTeX research paper from all previous stage outputs

- **Type:** Skill
- **Install:** `agentstack add skill-openraiser-nanoresearch-nanoresearch-writing`
- **Verified:** Yes — security-reviewed for prompt injection and unsafe behavior
- **Seller:** [OpenRaiser](https://agentstack.voostack.com/s/openraiser)
- **Installs:** 0
- **Category:** [Agent Skills](https://agentstack.voostack.com/c/agent-skills)
- **Latest version:** 0.1.0
- **License:** MIT
- **Upstream author:** [OpenRaiser](https://github.com/OpenRaiser)
- **Source:** https://github.com/OpenRaiser/NanoResearch/tree/main/skills/nanoresearch-writing

## Install

```sh
agentstack add skill-openraiser-nanoresearch-nanoresearch-writing
```

Requires the [AgentStack CLI](https://agentstack.voostack.com/docs/cli). Works with Claude Code, Cursor, and any MCP-compatible agent.

## About

# 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

## Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

- **Author:** [OpenRaiser](https://github.com/OpenRaiser)
- **Source:** [OpenRaiser/NanoResearch](https://github.com/OpenRaiser/NanoResearch)
- **License:** MIT

Install and usage instructions live in the source repository linked above.

## Pricing

- **Free** — Free

## Security capabilities

Automated source analysis of v0.1.0 — what this tool can access:

- **Network access:** no
- **Filesystem access:** no
- **Shell / process execution:** no
- **Environment & secrets:** no
- **Dynamic code execution:** no

*"Yes" means the capability is present in the source — more access means more to trust, not that it is unsafe.*


## Versions

- **0.1.0** — security scan: passed — Imported from the upstream source.

## Links

- Listing page: https://agentstack.voostack.com/l/skill-openraiser-nanoresearch-nanoresearch-writing
- Seller: https://agentstack.voostack.com/s/openraiser
- Browse the marketplace: https://agentstack.voostack.com/browse

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Listed on AgentStack — the marketplace for AI agent skills and MCP servers. Every listing is security-reviewed. Creators keep 70%.