# Paper Writing

> |-

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

## Install

```sh
agentstack add skill-tenureai-phd-zero-paper-writing
```

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

## About

# Paper Writing

## Mission

Provide a section-aware paper-writing workflow that is:

1. evidence-first
2. progressively disclosed
3. LaTeX- and structure-friendly
4. optimized for CS and AI papers

Do not load all writing guidance at once. Start here, then open only the reference file needed for the current section.

## Activation Gate

Activate this skill only when the user explicitly asks for paper-writing output.

Use this skill for:

1. drafting a paper or a named paper section
2. revising existing paper prose
3. writing rebuttal text
4. turning existing claims, evidence, and results into paper-ready prose

Do not use this skill for:

1. topic scoping
2. literature investigation without a writing deliverable
3. feasibility analysis
4. experiment design
5. experiment execution
6. deciding whether a project is paper-worthy

## Default Workflow

1. identify paper type and draft stage
2. load `references/workflow.md`
3. load only the section file needed right now
4. if related-work style mining is needed, load `references/arxiv-source-workflow.md`
5. use `scripts/fetch_arxiv_source.py` to inspect exemplar paper sources
6. write only what is supported by actual evidence, experiments, and citations

## Loading Map

Open these references on demand:

1. `references/source-index.md`
   - external sources and what each one informs
2. `references/workflow.md`
   - overall writing order, collaboration rules, and section contracts
3. `references/abstract.md`
   - abstract structure and compression rules
4. `references/introduction.md`
   - problem framing, gap, contributions, and section logic
5. `references/related-work.md`
   - literature grouping, synthesis, comparison writing, and citation density
6. `references/arxiv-source-workflow.md`
   - how to download and inspect arXiv LaTeX sources
7. `references/method.md`
   - method narrative, notation, pipeline order, and algorithm exposition
8. `references/architecture-figures.md`
   - architecture drawing heuristics and code-based tooling
9. `references/experiments.md`
   - evaluation logic, ablations, robustness, and error analysis
10. `references/tables-and-layout.md`
   - result tables, layout, appendix splitting, and figure-table coordination

## Writing Rules

1. Write from claims backward:
   - claim
   - evidence
   - section role
   - prose
2. Prefer synthesis over surface summary.
3. One paragraph should usually do one job.
4. Keep novelty claims proportional to the real delta.
5. For figures and tables, prefer code-generated assets that can be regenerated.
6. For related work, inspect representative arXiv source when organization matters.

## Scripts

1. `scripts/fetch_arxiv_source.py`
   - download and unpack an arXiv source bundle
   - list candidate main `.tex` files and section fragments
   - useful for `Related Work`, `Method`, and layout mining

## Source & license

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

- **Author:** [TenureAI](https://github.com/TenureAI)
- **Source:** [TenureAI/PhD-Zero](https://github.com/TenureAI/PhD-Zero)
- **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-tenureai-phd-zero-paper-writing
- Seller: https://agentstack.voostack.com/s/tenureai
- 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%.