Agent skill · Testing & QA

ecai-topic-selection

Use before writing to decide whether a project belongs at ECAI versus IJCAI, AAAI, AAMAS, KR, or a pure-ML venue, and whether it should go to the ECAI main track or the co-located PAIS applications track — using contribution shape, the model-swap test, the European/general-AI fit, and the calendar (including the joint IJCAI-ECAI 2026 cycle).

brycew6m878★ · +32/wk · 1 repos on radarProfile →
claude-codeMIT
Install
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill ecai-topic-selection --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 5 KB
Bundled scripts: none
Path: ECAI-Skills/skills/ecai-topic-selection/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 909 · +31 this week
Language: Stata
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# ECAI Topic Selection Routing is the highest-leverage decision, made **before** writing. ECAI is EurAI's **general-AI** flagship — broad by design, spanning symbolic reasoning, KR, planning, search, multi-agent systems, ML, and applications. That breadth is a feature and a trap: many projects *could* go to ECAI, so the real question is whether ECAI is the **best-matched** home for your contribution and calendar, and whether it belongs in the **main track** or the co-located **PAIS** applications track. ## Is it ECAI-shaped? ECAI wants a contribution a **general AI audience** recognizes as advancing how systems reason, plan, learn, or decide — with evidence proportional to the claim (a proof, or a fair comparison). Apply two tests: - **Model-swap test.** If you replaced the underlying model/solver with another, would a lasting AI lesson remain? If yes → a genuine AI contribution (ECAI-shaped). If no → likely a pure-ML paper wearing an AI title (route to an ML venue). - **General-audience test.** Could a reviewer from a *different* AI subfield see why the contribution matters? ECAI's broad pool rewards work that travels beyond one niche. ## ECAI vs the sibling flagships | If your co

What's inside
Steps it walks through
  1. Is it ECAI-shaped?
  2. ECAI vs the sibling flagships
  3. The 2026 twist: ECAI is joint with IJCAI
  4. Main track vs PAIS
  5. Calendar-driven routing
  6. Red flags that you are at the wrong venue
  7. Output format
More from Awesome-Journal-Skills
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About this skill
What does the ecai-topic-selection skill do?

Use before writing to decide whether a project belongs at ECAI versus IJCAI, AAAI, AAMAS, KR, or a pure-ML venue, and whether it should go to the ECAI main track or the co-located PAIS applications track — using contribution shape, the model-swap test, the European/general-AI fit, and the calendar (including the joint IJCAI-ECAI 2026 cycle).

How do I install it?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill ecai-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.

Keep going