adaptive-pair-selection
Iteratively select maximally informative pairs, execute comparisons, update ratings, and check convergence until ranking stabilizes.
适合你，如果需要对多个选项进行排序但缺乏明确评分标准
npx oh-my-skill add yogsoth-ai/de-anthropocentric-research-engine/adaptive-pair-selectioncurl -fsSL https://oh-my-skill.com/install.sh | bash -s -- yogsoth-ai/de-anthropocentric-research-engine/adaptive-pair-selectionnpx oh-my-skill verify yogsoth-ai/de-anthropocentric-research-engine/adaptive-pair-selection怎么用
商店整理自技能原文 · 版本 59ace64 · 表述以原文为准该技能让Claude对一组项目进行迭代排序：每次选出最有价值的两个项目进行比较，根据结果更新评分，重复直到排名稳定或预算用尽。
当你要求Claude对多个项目进行排序、排名或比较时触发。
技能原文 SKILL.md
Adaptive Pair Selection
Select the next comparison pair by information gain, execute the comparison, update ratings, and check for convergence. Repeats until the ranking stabilizes or the comparison budget is exhausted.
Stages
- Select — pair-selector identifies the pair whose comparison would most reduce uncertainty
- Compare — comparison-executor produces a judgment with confidence and reasoning
- Update — rating-update incorporates the new judgment into the rating model
- Check — convergence-check determines if ranking has stabilized
Loop stages 1-4 until convergence or budget exhaustion.
Available SOPs
| Stage | SOP | Input | Output | |-------|-----|-------|--------| | Select | pair-selector | current_ratings, comparison_history | next_pairs[] | | Compare | comparison-executor | pair, context | judgment | | Update | rating-update | judgment, current_ratings, method | updated_ratings | | Check | convergence-check | rating_history | converged, stability_score |
Execution Guidance
- Start with high-uncertainty pairs (largest sigma or most uncertain boundary)
- For small N: may complete all pairs in first pass, then focus on inconsistencies
- For large N: prioritize pairs near rank boundaries (positions k and k+1)
- Track comparison count against budget; exit gracefully if budget hit
- Pass full rating_history to convergence-check (not just latest snapshot)
Minimum Yield
- Global ranking + confidence intervals + convergence curve
- Global ranking with confidence intervals for each position
- Convergence curve showing stability score over iterations
- Comparison log with all judgments made
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Available SOPs
Optional, no fixed order; the final leaf is always a sop.
| SOP | When to use | | --- | --- | | comparison-executor | Execute a pairwise comparison between two candidates, producing a judgment with winner, confidence, and reasoning. | | convergence-check | Evaluate whether the ranking has stabilized by analyzing rating history and computing stability metrics. | | pair-selector | Select the next comparison pairs that maximize information gain given current ratings and comparison history. | | rating-update | Incorporate a new judgment into the rating model and return updated ratings for all candidates. |
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