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AAAI Topic Selection · brycewang-stanford | DecimalAI

researchby brycewang-stanford

AAAI Topic Selection

brycewang-stanford/aaai-topic-selection

Source brycewang-stanford/awesome-journal-skills ↗License MIT

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.

SkillScore50Maintained

Automatic

Research pack

Last verified 8/15/2026

What it changes

Passed 11 of 22 test cases with the skill, and 4 of 22 without it.

Without skill20%

With skill50%

Checks it passed that the model alone missed

Contains the tag [AAAI fit] weak
Contains the tag [AAAI fit] strong
Contains the tag [Best venue route] UAI

and 4 more in the full report

9 fixed3 passed either way8 still failing2 broke

Pass-rate lift: +30 pp
Tokens: +6%
Agent turns: 0%
Response time: -52%

Model gemini-3.6-flashMeasured 8/15/2026v112 of 22 cases passed with skill

Tokens, turns and time describe resource use, not a dollar price.

Use this skill

Save it into your project's skills folder. Claude Code picks it up in its next session.

curl -fsSL --create-dirs -o .claude/skills/brycewang-stanford-aaai-topic-selection/SKILL.md https://app.decimal.ai/s/brycewang-stanford-aaai-topic-selection/SKILL.md

Want it pinned and updatable? pip install "decimalai>=0.15", then decimalai skills add brycewang-stanford-aaai-topic-selection, and start Claude Code with claude --plugin-dir "$(git rev-parse --show-toplevel)/.agents"

1 · One-time — install the CLI (docs ↗)

pip install "decimalai>=0.15"

2 · Get the skill — writes .agents/skills/brycewang-stanford-aaai-topic-selection/ and pins it in .decimal/skills.lock

decimalai skills add brycewang-stanford-aaai-topic-selection

No CLI? Get the same file — curl · raw file

curl -fsSL --create-dirs -o .claude/skills/brycewang-stanford-aaai-topic-selection/SKILL.md https://app.decimal.ai/s/brycewang-stanford-aaai-topic-selection/SKILL.md

Raw file: /s/brycewang-stanford-aaai-topic-selection/SKILL.md ↗ · machine-readable summary at /s/brycewang-stanford-aaai-topic-selection.json ↗

Safety checks: 3 of 3 passed

Code scan CleanIntent PassedContent Clean

See it in action

One of 9 test cases the skill fixed. Same model, same prompt, with and without the skill.

1 of 9

Prompt

We created an algorithmic framework for municipal resource distribution that incorporates fairness constraints, along with an initial stakeholder study involving local public managers. We are trying to figure out if this belongs at AAAI or a domain-specific venue. Please evaluate our submission ideas and format the response with the following sections: AAAI fit, recommended track route, core AI contribution in one sentence, evidence required to support the submission, and the best venue route.

What was checked, without and with the skill
Checked	Without skill	With skill
Contains the tag [Track route] AI for Social Impact	Missed	Passed
Identifies stakeholder analysis as required evidence for policy-sensitive claims	Passed	Passed

case-03 · gemini-3.6-flash · 8/15/2026 · answers are capped and redacted

What's inside

The instructions your model reads when the skill loads.

SKILL.md94 linessingle file

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 work with an international AI community emphasis.
Prefer NeurIPS, ICML, or ICLR for stronger ML method/theory or representation-learning framing.
Prefer AISTATS or UAI for statistics, uncertainty, causal, or probabilistic emphasis.
Prefer ACL, CVPR, KDD, CHI, ICRA, or systems venues when the contribution is domain-specific.
Prefer a workshop if evidence is preliminary but the idea is timely.

Fit-versus-route table

AAAI's breadth is an asset only when the contribution reads as general AI, not a narrow benchmark result. Use the dominant signal to decide between AAAI and a specialist venue.

Project shape	AAAI fit	Better route if not
New planning or KR mechanism	strong, core AAAI turf	UAI for pure uncertainty

Track record

Benchmark

11 / 22

test cases passed, vs 4 / 22 without

Adoption

Users: 0
Times used: 0

Safety and source details

SkillSafety

✓ 3 of 3 passed

Code scan15 of 15 checks clean

0 critical · 0 warning · 0 info — scanner v4 — 8/3/2026

View 15 scanner checks

live_secretremote_code_executionreverse_shelldata_exfiltrationssrf_metadataagent_snoopinganti_refusaldestructive_commandsobfuscated_unicodeunicode_homoglyphopaque_blobsuspicious_urltool_overreachtrigger_abuseprompt_injection_phrasing

IntentSafe

LLM judge · does the skill do what it claims

ContentClean

LLM judge · policy & harmful-content review

Source

Imported

brycewang-stanford / awesome-journal-skills

AAAI-Skills/skills/aaai-topic-selection/SKILL.md

View on GitHub ↗

License MITImported 8/3/2026Version v1

Other skills for the same job

Published skills whose descriptions closely match this one, with their headline benchmark lift.

brycewang-stanford/aamas-topic-selectionUse when deciding whether a project is a strong AAMAS fit, comparing AAMAS with AAAI, IJCAI, NeurIPS, ICML, EC, and the JAAMAS journal, identifying whether the agents are truly the research object, naming the interaction primitive (solution concept, mechanism, coordination, negotiation), and sharpening the multiagent framing before writing begins.Close match+46 pp pass-rate lift

More skills from the same source and nearby in the registry, with their headline benchmark lift.

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See it in action

What's inside

AAAI Topic Selection

Strong AAAI signals

Weak AAAI signals

Routing logic

Fit-versus-route table

Track record

Benchmark

Adoption

SkillSafety

Source

Other skills for the same job

Related skills