461 skills found Β· Page 2 of 16
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/
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.
Nutlope / hallmarkAnti-AI-slop design skill for greenfield pages, audits, redesigns, and design extraction from URLs or screenshots
openai / speechUse when the user asks for text-to-speech narration or voiceover, accessibility reads, audio prompts, or batch speech generation via the OpenAI Audio API; run the bundled CLI (`scripts/text_to_speech.py`) with built-in voices and require `OPENAI_API_KEY` for live calls.
vercel / ai-sdkAnswer questions about the AI SDK and help build AI-powered features
JimLiu / baoyu-image-genAI image generation with OpenAI GPT Image 2.5, Azure OpenAI, Google, OpenRouter, DashScope, Z.AI GLM-Image, MiniMax, Jimeng, Seedream, Replicate and Agnes APIs. Supports text-to-image, reference images, aspect ratios, and batch generation from saved prompt files.
anthropics / seo-ai-visibilityAudits and fixes both halves of being found β classic search and AI answers. Search side: rankings, site structure, page speed, titles and descriptions, and content that answers what customers search for.
anthropics / sequence-loadFind leads matching criteria and bulk-add them to an Apollo outreach sequence. Handles enrichment, contact creation, deduplication, and enrollment in one flow.
google / agent-platform-eval-flywheelMeasures and improves the quality of AI models and agents on Google Cloud using the Eval Quality Flywheel methodology
google / developing-genkit-dartGenerates code and provides documentation for the Genkit Dart SDK
google / gke-inferenceDeploys and optimizes AI/ML inference workloads on GKE, using GPUs, TPUs, and model servers
google / google-cloud-solution-rag-enterprise-search-gke-sqldbDiscovers requirements, and generates architectural, design, and deployment guidance for a retrieval-augmented generation (RAG)-capable enterprise search system in Google Cloud
google / agent-platform-model-registryAgent Platform Model Registry Management
google / gemini-live-apiGenerates a Gemini LiveAPI client service class in the user's chosen programming language
AgriciDaniel / seo-dataforseoLive SEO data via DataForSEO MCP server: SERP analysis, keyword research (volume, difficulty, intent, trends), backlink profiles, on-page analysis, competitor and content analysis, business listings, AI visibility (LLM mention tracking), and domain analytics. Requires DataForSEO extension installed
AgriciDaniel / seo-agenticAudit and fix agent readiness: the Lighthouse Agentic Browsing fraction, accessibility tree for agents, robots.txt and Content-Signal for AI agents, WAF treatment of agent traffic, llms.txt, Markdown delivery, ai-catalog.json, /.well-known discovery files, and WebMCP tools.
wanshuiyin / interview-cheatsheetGenerate a long-form Chinese interview-prep cheat sheet on a specific ML/LLM topic β formulas with derivations, from-scratch PyTorch code, comparison tables, and 25 ι«ι’ι’θ―ι’ (L1 εΏ δΌ / L2 θΏιΆ / L3 ι‘ΆηΊ§ lab)
