Individual skill
ccf-experiment-designer
Design and interpret CCF experiments: datasets, baselines, metrics, ablations, run requirements, observed feedback, and result-table contents. Use for 设计实验, 消融, benchmark planning, 实验结果分析, and research evidence design. Research engineer owns code implementation, reproduction, and training diagnostics; orchestrator coordinates campaigns.
ccf-experiment-designer/SKILL.md
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- Observed behavior
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- Last checked
- Nov 9, 2026
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- Repository last updated
- Oct 31, 2026
- License
- MIT
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SKILL.mdcore · 11,021 bytesagents/openai.yamlasset · 703 bytesreferences/evidence-design.mddoc · 10,128 bytesreferences/result-templates.mddoc · 2,909 bytes
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# CCF Experiment Designer
## Family File Contract
Before file work, reuse canonical paths and one task/artifact working directory; default to project-root `ccfa-workfiles/<purpose>/<artifact-id>/`. Update in place, preserve inputs, and use UTF-8 with Chinese-text checks. Apply [artifact-contracts.md](../ccf-common/references/artifact-contracts.md) for naming, ownership, and task-created cleanup; handoffs inherit these paths.
## Collaboration Contract
Before specialist execution, read and apply [ccf-humanization](../ccf-humanization/SKILL.md) first, then [ccf-common](../ccf-common/SKILL.md). At every handoff, reuse their applicable active rules or refresh missing/changed ones. Both preflights are required even without prose; detailed editing, experiment, and maintenance modes run only when relevant.
Integrate necessary specialist contributions under one owner; reuse valid prerequisites and verify affected results. Follow the [cooperation routes](../ccf-common/references/routing.md) without duplicate reports.
## Invocation Controls