928 skills found Β· Page 3 of 31
wshobson / spark-environment-setupSet up a working ML training/inference environment on NVIDIA DGX Spark (GB10, aarch64, CUDA 13)
wshobson / prompt-engineering-patternsThis skill should be used when the user asks to "optimize a prompt", "improve prompt performance", "design a prompt template", "write better prompts", "debug prompt issues", "use chain-of-thought", "structured prompting", "few-shot prompting", or wants to apply advanced prompt engineering patterns fβ¦
wshobson / embedding-strategiesSelect and optimize embedding models for semantic search and RAG applications
wshobson / rag-implementationBuild Retrieval-Augmented Generation (RAG) systems for LLM applications with vector databases and semantic search
github / arize-prompt-optimizationOptimizes, improves, and debugs LLM prompts using production trace data, evaluations, and annotations. Extracts prompts from spans, gathers performance signal, and runs a data-driven optimization loop using the ax CLI
github / arize-traceDownloads, exports, and inspects existing Arize traces and spans to understand what an LLM app is doing or debug runtime issues. Covers exporting traces by ID, spans by ID, sessions by ID, and root-cause investigation using the ax CLI
github / arize-ai-provider-integrationCreates, reads, updates, and deletes Arize AI integrations that store LLM provider credentials used by evaluators and other Arize features. Supports any LLM provider (e.g. OpenAI, Anthropic, Azure OpenAI, AWS Bedrock, Vertex AI, Gemini, NVIDIA NIM)
github / arize-instrumentationAdds Arize AX tracing to an LLM application for the first time. Follows a two-phase agent-assisted flow to analyze the codebase then implement instrumentation after user confirmation
github / eval-driven-devImprove AI application with evaluation-driven development. Define eval criteria, instrument the application, build golden datasets, observe and evaluate application runs, analyze results, and produce a concrete action plan for improvements.
github / create-llmsCreate an llms.txt file from scratch based on repository structure following the llms.txt specification at https://llmstxt.org/
patchy631 / ai-engineering-hubIn-depth tutorials on LLMs, RAGs and real-world AI agent applications.
HKUDS / Vibe-Trading"Vibe-Trading: Your Personal Trading Agent"
can1357 / oh-my-piβ₯ Coding agent with the IDE wired in. Built by Stencil Labs.
DayuanJiang / next-ai-draw-ioDraw and edit draw.io diagrams by chatting with an AI. Web app, desktop app, and an MCP server for Claude Code, Cursor, Codex and VS Code.
agentscope-ai / QwenPawYour Personal AI Assistant; easy to install, deploy on your own machine or on the cloud; supports multiple chat apps with easily extensible capabilities.
agentscope-ai / agentscopeBuild and run agents you can see, understand and trust.
iOfficeAI / AionUiOpen-source 24/7 Cowork app for OpenClaw, Hermes, Claude Code, Codex, OpenCode and 20+ more CLI Agent | Customize your assistants | Team them upο½Star if you like it!
ahujasid / mcp-for-blenderCommunity plugin to control Blender 3D with any LLM of your choice. Not affiliated with the official Blender Foundation.
decolua / 9routerUnlimited FREE AI coding. Connect Claude Code, Codex, Cursor, Cline, Copilot, Antigravity to FREE Claude/GPT/Gemini via 40+ providers. Auto-fallback, RTK -40% tokens, never hit limits.
nanocoai / add-codexUse Codex (OpenAI's codex app-server) as a full agent provider β planning, tool orchestration, MCP tools, server-side history, session resume β alongside or instead of Claude. ChatGPT subscription or OpenAI API key, vault-only via the selected gateway.
nanocoai / add-karpathy-llm-wikiAdd a persistent wiki knowledge base to a NanoClaw group. Based on Karpathy's LLM Wiki pattern. Triggers on "add wiki", "wiki", "knowledge base", "llm wiki", "karpathy wiki".
topoteretes / cognee-improve-sessionsUse when working with cognee's session memory or improve() β storing conversation turns, agent traces and feedback with session_id, bridging sessions into the permanent graph, reading an ImproveResult, understanding why an improve stage was skipped, already_completed or lock_held, or tuning the IMPRβ¦
topoteretes / cognee-ingestionUse when putting data into cognee memory with remember() β choosing inputs (text, files, folders, URLs, repos, databases), datasets and node_sets, loaders, ontologies, the graph extractor (LLM or GLiNER), chunking, dry-run cost estimates, or when remember() raises on a keyword argument.
topoteretes / cognee-custom-graph-modelsUse when defining the shape of cognee's knowledge graph with graph_model= β writing DataPoint node classes, choosing identity and index fields so nodes merge and are searchable, declaring typed Edge fields and FromIdentity references, building a model from a JSON schema, or debugging duplicated nodeβ¦
topoteretes / cognee-integrationsUse when the user wants to connect cognee to external services β switching LLM or embedding providers (OpenAI, Azure, Gemini, Anthropic, Ollama, OpenRouter), changing databases (Postgres, PGVector, Neo4j, Neptune, Turso), S3 storage, or the MCP server for IDE integration.
ComposioHQ / composioComposio powers 1000+ toolkits, tool search, context management, authentication, and a sandboxed workbench to help you build AI agents that turn intent into action.
Nutlope / hallmarkAnti-AI-slop design skill for greenfield pages, audits, redesigns, and design extraction from URLs or screenshots
yamadashy / repomixπ¦ Repomix is a powerful tool that packs your entire repository into a single, AI-friendly file. Perfect for when you need to feed your codebase to Large Language Models (LLMs) or other AI tools like Claude, ChatGPT, DeepSeek, Perplexity, Gemini, Gemma, Llama, Grok, and more.
QwenLM / qwen-codeAn open-source AI coding agent that lives in your terminal.
OtterMind / Chat2DBChat2DB is a free, cross-platform, local-first database client and SQL workspace for developers, DBAs, analysts, and data teams. Connect to 40+ databases, manage data, edit and run SQL, and use your own AI model to generate, explain, and optimize queries.
