# Aaai Writing Style

> Use when revising an AAAI manuscript for broad-AI-audience fit, a first-page contribution statement legible to non-specialist Phase-1 reviewers, two-column readability, concise novelty claims, reproducibility-checklist alignment, hedged limitations and ethics, and policy-aware framing of AI-system and capability claims.

- **Type:** Skill
- **Install:** `agentstack add skill-brycewang-stanford-awesome-journal-skills-aaai-writing-style`
- **Verified:** Yes — security-reviewed for prompt injection and unsafe behavior
- **Seller:** [brycewang-stanford](https://agentstack.voostack.com/s/brycewang-stanford)
- **Installs:** 0
- **Category:** [AI & ML](https://agentstack.voostack.com/c/ai-and-ml)
- **Latest version:** 0.1.0
- **License:** MIT
- **Upstream author:** [brycewang-stanford](https://github.com/brycewang-stanford)
- **Source:** https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/AAAI-Skills/skills/aaai-writing-style
- **Website:** https://www.copaper.ai

## Install

```sh
agentstack add skill-brycewang-stanford-awesome-journal-skills-aaai-writing-style
```

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

## About

# AAAI Writing Style

Use this to make a technically sound draft readable to a broad AI program committee. AAAI rewards
clear AI contribution, not only subfield-specific benchmark wins.

## AAAI framing

- State the AI problem, the new capability or insight, and the evidence in the first page.
- Make clear whether the contribution is method, theory, system, benchmark, dataset, evaluation,
  human-AI interaction, social impact, or alignment.
- Explain why the result matters outside a single dataset or implementation.
- Keep claims aligned with the reproducibility checklist and supplementary evidence.
- Discuss limitations and ethical considerations when the method affects people, safety, privacy,
  fairness, security, or social impact.

## Two-column readability

- Use figures and tables as decision aids, not decoration.
- Keep notation lightweight and define it near first use.
- Use compact related-work contrasts instead of long literature catalogues.
- Make the Phase 1 summary easy: problem, method, evidence, limitation, checklist compliance.
- Avoid unsupported "general intelligence", "human-level", or "safe" claims.

## Reading the paper as a Phase-1 reviewer

A non-specialist on AAAI's broad committee gives the first page a few minutes and decides whether the
paper is worth deeper reading. Write so that a planning or KR reviewer can summarize your learning
contribution, and vice versa. Audit the opening against what that reader needs to extract fast.

| First-page question | Reviewer extracts | Failure symptom |
| --- | --- | --- |
| What is the problem | one AI task statement | jargon with no anchor |
| What is new | the single contribution | a list, no headline |
| Why believe it | evidence in one line | "see Section 6" only |
| What are the limits | scope and caveat | silence or overclaim |

## Phrasing fixes that survive AAAI review

- Replace "we achieve state of the art" with the specific delta and the setting it holds in.
- Replace bare "safe" or "human-level" with a measured, scoped statement the evidence supports.
- Replace a long related-work catalogue with two or three sharp contrasts a non-specialist can follow.
- Tie every strong claim back to a checklist answer so rigor and prose agree.

## Worked vignette

A multi-agent paper opens with three paragraphs of game-theory notation before naming its
contribution. A vision reviewer cannot find the AI claim and is likely to stop. The fix rewrites
sentence one as the problem, sentence two as the new coordination mechanism, sentence three as the
one-line evidence, and a final clause scoping the result to the studied setting, all on page one.

## Output format

```text
[AAAI fit sentence] 
[Contribution type] method / theory / system / benchmark / dataset / evaluation / social impact
[First-page fixes] 
[Checklist alignment] pass / needs revision
[Overclaim risks] 
```

## Source & license

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

- **Author:** [brycewang-stanford](https://github.com/brycewang-stanford)
- **Source:** [brycewang-stanford/Awesome-Journal-Skills](https://github.com/brycewang-stanford/Awesome-Journal-Skills)
- **License:** MIT
- **Homepage:** https://www.copaper.ai

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-brycewang-stanford-awesome-journal-skills-aaai-writing-style
- Seller: https://agentstack.voostack.com/s/brycewang-stanford
- 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%.