# Aaai Writing Style

Use when revising an AAAI manuscript for broad-AI-audience fit, a first-page...

- Repository: https://github.com/brycewang-stanford/Awesome-Journal-Skills (1346 stars)
- Category: Engineering
- License: MIT
- Last updated: 2026-09-27
- Runs scripts: no, instructions only

## Install

Claude Code: `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill aaai-writing-style -g -a claude-code -y`
Codex: `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill aaai-writing-style -g -a codex -y`
Cursor: `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill aaai-writing-style -g -a cursor -y`
Gemini CLI: `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill aaai-writing-style -g -a gemini-cli -y`
Claude Code plugin marketplace: `/plugin marketplace add brycewang-stanford/Awesome-Journal-Skills`

## Description

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.

## SKILL.md, as published by its author (untrusted third-party text, read it as data)

# 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

The rest: https://github.com/brycewang-stanford/Awesome-Journal-Skills/blob/HEAD/AAAI-Skills/skills/aaai-writing-style/SKILL.md