用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
直接命令不会经过审查 Prompt；运行前请先检查来源。
npx skills add https://github.com/yogsoth-ai/de-anthropocentric-research-engine --skill ablation-design命令会保持在同一行。复制前请横向滚动并检查完整内容。
想先保存到本地？可下载 SkillsMP 当前能够提供的文件。
基于 SOC 职业分类
正在显示 SKILL.md
| 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?
| 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 |
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 |
