Access thousands of AI prompts and skills directly in your AI coding assistant. Search prompts, discover skills, save your own, and improve prompts with AI.
★not rated 173k▲
+822 yesterdayA
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Transform 18 source types (docs, GitHub, PDFs, videos, Jupyter, Confluence, Notion, Slack, and more) into AI-ready skills and RAG knowledge for 21+ AI platforms.
★not rated 15k▲
+39 15d agoA
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originalMIT
Vision, audio, and multimodal models including CLIP, Whisper, LLaVA, BLIP-2, Segment Anything, Stable Diffusion, AudioCraft, Cosmos Policy, OpenPI, and OpenVLA-OFT. Use when working with images, audio, multimodal tasks, or vision-language-action robot policies.
★not rated 14k▲
+198 5d agoA
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originalMIT
Optimize any scorable text artifact (prompts, code, configs, agent scaffolds, search solutions) with optimizeanything — one evaluator-driven API across the GEPA optimizer (reflective evolutionary search, the default), AutoResearch, and MetaHarness backends, with a best-of-N baseline for comparisons.
★not rated 7.0k▲
+84 2d agoA
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originalMIT
Skills for MLX-VLM: command-line and server inference, convert/quantize, adding new models, benchmarking, contributing, cached-model listing, and reproducible GitHub issues.
★not rated 5.6k▲
+38 todayA
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originalMIT
Enables AI agents to use Braintrust for LLM evaluation, logging, and observability. Provides correct API usage, working examples, and helper scripts for common operations.
★not rated 3.9k▲
+2 8mo agoA
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originalMIT
Build Vizro dashboards from concept to deployment. Enforces a 2-phase workflow covering requirements, layout design, visualization selection, implementation with Python, and testing.
Find the right NVIDIA skill for GPU acceleration, CUDA, AI agents, data loading, training, inference, robotics, Physical AI, Omniverse, simulation, and other NVIDIA-powered workflows.
★not rated 3.6k▲
+54 todayA
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originalApache-2.0
User-level skills that recommend TanStack AI, map a task to the package that covers it, install it, then load that package's own SKILL.md through TanStack Intent.
Intelligent prompt optimization: injects the right context at the right moment so Claude lands a better first output. Clarifies vague prompts with research-based questions, plus targeted nudges for approach selection, plan readability, workflow routing, background execution, subagent routing, output readability…
Connect Claude Code to Datalayer Notebooks — always-on notebooks, durable execution, and your data, through the hosted Jupyter MCP Server.
★not rated 1.3k▲
+3 yesterdayA
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originalBSD-3-Clause
At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: