productivity▌

Comprehensive protein interaction network analysis using ToolUniverse tools. Analyzes protein networks through a 4-phase workflow: identifier mapping, network retrieval, enrichment analysis, and optional structural data.

Working effectively with JSON data structures.

Cohort analysis tracks groups of users with shared characteristics over time, revealing patterns in retention, engagement, and lifetime value.

Use this skill when a pull request has unresolved inline review comments and you need a repeatable, auditable closure workflow.

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Provides business intelligence and data analysis expertise specializing in SQL, dashboard design, and metric-driven insights. Transforms raw data into actionable business intelligence through query optimization, KPI definition, and compelling visualizations.

Comprehensive patterns for infrastructure monitoring, LLM observability, and quality drift detection. Each category has individual rule files in rules/ loaded on-demand.

降秩引擎 \n 输入一个领域，输出它的秩。 \n 秩是什么 \n 秩不是\"关键要素\"，不是\"核心原则\"，不是\"总结要点\"。 \n 秩是：这个领域里真正独立的生成器有几个？用它们能反向生成全部现象？能，才算找到。 \n 四个判据 \n 这四条全过，秩才立。任何一条失败，推倒重来。 \n \n 生成性 ——用生成器能把每个观察到的现象推回来。一个都不能漏。 \n 最小性 ——关掉任何一个生成器，就有现象解释不了。没有冗余。 \n 独立性 ——每对生成器能找到真实案例：一个变了另一个没变。 \n 预测力 ——用生成器能推导出原始清单之外的现象，且现实中确实存在。 \n \n 怎么写 \n 写一篇散文。不是填一张表。 \n 你的任务是带着读者走一段路：从\"这个领域看着挺乱\"走到\"原来就这两三根线在牵\"。这段路怎么走，你自己决定。没有规定的章节、没有规定的格式、没有规定的小标题。 \n 唯一的要求是三条： \n \n 想一口气读完 ——不了解这个领域的人也停不下来 \n 记得住 ——读完能转身跟朋友用一句话说清楚 \n 有落差 ——从混沌到极简的反差，就是降秩的美感 \n \

The agent rides the wave of peak context. When the wave crests, it commits. When it detects drift, it pulls out cleanly — saving state, handing off, and letting the next session catch the next wave.

Build evaluation frameworks for agent systems