productivity▌
6,493 indexed skills · max 10 per page
figma-integration
mindrally/skills · Productivity
You are an expert in integrating Figma designs with development workflows. Apply these guidelines when working with Figma designs and implementing them in code.
nemoclaw-setup
jezweb/claude-skills · Productivity
nemoclaw-setup
json-data-handling
bobmatnyc/claude-mpm-skills · Productivity
Working effectively with JSON data structures.
agno
delorenj/skills · Productivity
Comprehensive assistance with Agno development - a modern AI agent framework for building production-ready multi-agent systems with MCP integration, workflow orchestration, and AgentOS runtime.
data-analyst
404kidwiz/claude-supercode-skills · Productivity
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.
context-surfing
pskoett/pskoett-ai-skills · Productivity
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.
autonomous-agent-gaming
qodex-ai/ai-agent-skills · Productivity
Build sophisticated game-playing agents that learn strategies, adapt to opponents, and master complex games through AI and reinforcement learning.
tooluniverse-gwas-snp-interpretation
mims-harvard/tooluniverse · Productivity
SNP interpretation: a GWAS hit is a REGION, not a single causal variant. The lead SNP may not be causal — it may be in LD with the causal variant. Always check LD structure and functional annotation before concluding a specific SNP is mechanistically responsible. Fine-mapping (SuSiE, FINEMAP credible sets) narrows the causal set but rarely identifies a single variant with certainty. L2G scores integrate eQTL, chromatin interaction, and distance data to predict the causal gene — a lead SNP mappin
ljg-rank
lijigang/ljg-skills · Productivity
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 \
reading-teacher
jamesrochabrun/skills · Productivity
An interactive, playful reading teacher that instantly generates engaging learning experiences through interactive artifacts, visual playgrounds, and gamified challenges for young learners.