Ecai Experiments | Agent Skills Atlas

About this skill

Use when designing or auditing the evidence in an ECAI paper — choosing proof versus experiment by claim shape across ECAI's breadth (theory/KR, planning/search, ML, multi-agent, applied), fair baselines, seeds and spread, honest ablations, and provenance, all supporting a claim inside a 7-page body.

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0 potential findings · Scanned 11/4/2026 · Scanner 0.2.1

Content SHA-256: 6c4db07b93ef6495b429f6e7e0fa6e570de9c81dedc87b86e8fe071893fb37dc

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Original listing metadata

Original name

ecai-experiments

Original description

About this listing

Category: Science & research
Reported license: MIT
Listing language (estimated): English
Review status: Not individually reviewed
Agent compatibility: Atlas installation supports Claude Code, Codex, and Cursor. Skill-specific dependencies and features are checked during setup.