aaai-topic-selection
Use when deciding whether a project is a strong AAAI submission across its broad AI scope, should be reframed or routed to a dedicated track such as AI for Social Impact or AI Alignment, or should instead go to IJCAI, NeurIPS, ICML, ICLR, AISTATS, UAI, ACL, CVPR, KDD, CHI, ICRA, or another specialist venue.
Profile →npx skills add brycewang-stanford/Awesome-Journal-Skills --skill aaai-topic-selection --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.
# AAAI Topic Selection Use this while the project is still movable. AAAI is broad across artificial intelligence, so a strong submission should make an AI contribution that is intelligible beyond a narrow subfield. ## Strong AAAI signals - Clear AI problem and contribution: method, theory, system, benchmark, dataset, evaluation, social impact, alignment, human-AI interaction, planning, reasoning, learning, NLP, vision, robotics, or knowledge representation. - Evidence that supports a general AI claim, not only a local application result. - Responsible treatment of ethics, safety, privacy, fairness, social impact, or misuse when the paper touches those areas. - Reproducibility path strong enough for checklist scrutiny. - Narrative clear enough for Phase 1 reviewers from adjacent AI areas. ## Weak AAAI signals - Pure application deployment with little AI insight. - Benchmark bump without mechanism, analysis, or robust comparison. - Closed system with no reviewable evidence. - Paper better framed as statistics, NLP, vision, HCI, robotics, or systems for a specialist venue. - Policy-sensitive claims with thin ethics or stakeholder analysis. ## Routing logic - Prefer IJCAI for broad AI
- Strong AAAI signals
- Weak AAAI signals
- Routing logic
- Fit-versus-route table
- Broad-AI contribution stress test
- Route decision ledger
- Worked vignette
- Output format
What does the aaai-topic-selection skill do?
Use when deciding whether a project is a strong AAAI submission across its broad AI scope, should be reframed or routed to a dedicated track such as AI for Social Impact or AI Alignment, or should instead go to IJCAI, NeurIPS, ICML, ICLR, AISTATS, UAI, ACL, CVPR, KDD, CHI, ICRA, or another specialist venue.
How do I install it?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill aaai-topic-selection --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 brycewang-stanford/Awesome-Journal-Skills, a repository with 909 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.