formated-results
Closing skill for the research-executor, loaded as the last step of formated-specs. Summarize the design just produced into one research-result JSON fenced…
Design ablation studies to isolate component contributions in ML systems
$ npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill ablation-design --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/ablation-designContext preview
The summary Claude sees to decide when to auto-load this skill.
Design ablation studies to isolate component contributions in ML systems
name: ablation-design description: Design ablation studies to isolate component contributions in ML systems version: 1.0.0 category: experiment-execution type: strategy sops: - ablation-component-mapping - baseline-selection - metric-specification - sample-size-estimation tactics: - statistical-method-selection dependencies: sops: - ablation-component-mapping - baseline-selection - metric-specification - sample-size-estimation tactics: - statistical-method-selection
**Question**: What does each component contribute?
1. **ablation-component-mapping** → Map system architecture to ablatable units 2. **baseline-selection** → Select full-system and minimal-system anchors 3. **metric-specification** → Define metrics that capture component contribution 4. **sample-size-estimation** → Determine runs needed for reliable delta estimation 5. **statistical-method-selection** (tactic) → Choose appropriate significance tests for deltas
| Ablation Type | Components (N) | Min Runs | When to Use | |---------------|---------------|----------|-------------| | Systematic (leave-one-out) | 3-8 | N + 2 | Standard component analysis | | Replacement | 3-8 | 2N + 2 | Need to distinguish "removal" vs "simplification" | | Combinatorial (selected) | 4-6 | ~2N | Suspected interactions between components | | Combinatorial (full) | 3-4 | 2^N | Small systems, need complete picture | | Conditional | 3-6 | N * conditions | Context-dependent contributions |
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Optional, no fixed order; the final leaf is always a sop.
| Tactic | When to use | | --- | --- | | statistical-method-selection | Select appropriate statistical methods for experiment analysis |
Optional, no fixed order; the final leaf is always a sop.
| SOP | When to use | | --- | --- | | ablation-component-mapping | Map system architecture to ablatable units for ablation studies | | baseline-selection | Select appropriate baselines for experimental comparison | | metric-specification | Define experiment metrics and significance standards | | sample-size-estimation | SOP: power analysis and required experiment count estimation |
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The complete research orchestration system for AI-native science. What It Does Design Philosophy Architecture (v3.2.2) Quick Start Configuration Roadmap License DARE is not a tool that helps you do research. It is the researcher.
Repo: yogsoth-ai/de-anthropocentric-research-engine
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