Leaderboard/Research/CCFA-Skills
Last commit on August 12, 2026·Created on June 4, 2026

mikubaka88/CCFA-Skills

A governance and design framework for structuring AI experiment evidence and agent orchestration.
Combined rank
#163
across all skills
In Research
#10
category rank
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94
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TL;DR

CCFA-Skills provides a structured system for managing the lifecycle of AI experiments and agent interactions. It establishes shared governance through routing, trigger registries, and artifact contracts to ensure consistency across complex task modes.

The toolkit helps researchers and developers define precise experiment semantics, from selecting baselines and metrics to specifying the exact schema of result tables and robustness tests.

WHO IT'S FOR
AI research scientists
designing experiment evidence and benchmark planning
Academic writers
refining publication-facing AI prose and artifacts
Research leads
structuring result tables and ablation studies
AI workflow engineers
maintaining and auditing CCFA skill governance
Repository contents

17 skill files

Compatible AgentsThe repository documents support for these agents. The skills may also work with other agents that can load SKILL.md files, but they may need some setup or small changes.
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