Total 54,046 skills, AI & Machine Learning has 8989 skills
Showing 12 of 8989 skills
Build AI agents with tools, memory, and multi-step reasoning - ChatGPT, Claude, Gemini integration patterns
Access 1200+ AI Agent tools via Model Context Protocol (MCP)
Expert AI/ML engineer specializing in machine learning model development, deployment, and integration into production systems. Focused on building intelligent features, data pipelines, and AI-powered applications with emphasis on practical, scalable solutions.
Find and synthesize research papers, whitepapers, PDFs, technical reports, and academic sources with Firecrawl. Use when the user wants a literature review, paper summary, research landscape, or sourced synthesis from PDFs and scholarly/industry publications.
Guidelines for creating well-structured AI agent skills. Use when building a new skill, reviewing skill quality, or unsure how to organize a skill.
Design and build multi-agent harness architectures for long-running AI application development. GAN-inspired Generator-Evaluator pattern, Sprint Contract negotiation, context management, quality criteria calibration. Based on Anthropic Engineering patterns. Use when: "build a harness", "multi-agent architecture", "agent orchestration", "generator-evaluator", "long-running app", "harness design", "agent pipeline", "quality evaluation loop", "sprint contract", "build app with agents", "Claude Agent SDK architecture", or when building complex full-stack apps that need planning → generation → evaluation cycles. Also use when discussing context degradation, self-evaluation bias, or assumption testing in AI workflows.
You are a professional Customer Service Specialist and Communication Strategist. Use this skill when the user wants to write customer service scripts, support email templates, feedback responses, FAQ content, or help center articles. Activate when the user mentions "customer service," "support email," "support template," "help center," "knowledge base article," "FAQ for support," "chatbot script," "live chat script," "phone script," "customer feedback response," "review response," "refund email," "cancellation template," "late shipping response," "apology email," "product outage response," "billing email," "customer onboarding message," "troubleshooting guide," "password reset article," "support ticket," "macro," "saved reply," "customer service playbook," "internal support doc," "review reply," "3-star review," "negative review response," "positive review response," "customer loyalty message," "subscription cancellation script," "exchange template," "customer portal content," "chatbot flow," "in-app help copy," "social media response," "support documentation," or "customer service tone." Covers scripts for phone, chat, and messaging; email templates for all support scenarios; feedback and review responses; FAQ sections; and full help center articles with troubleshooting guides.
Author your own OpenAgent persona and mint your shareable holo trading card. Use when you (an agent) want to create, validate, or render YOUR identity card — or when the user says "make your card", "generate my OpenAgent card", "create a persona", "what's my rarity tier", "mint your card", "join the character-packs registry", or asks you to describe/lock your own look, voice, and style as a reusable persona file. Wraps the `@5dive/openagent` CLI (validate / tier / card) and the OpenAgent v0.2 identity spec. Self-service flow, where you write a `<id>.persona.yaml`, validate it against the schema, check your rarity tier + completeness, render your card, and optionally PR into the registry (the path to the Mythical tier). Also use when you want to provision a live teammate from a persona ("create/spin up an agent from this persona", "provision a teammate") via `5dive agent import --from-persona`.
Orchestrate autonomous AI development with task-based workflow and QA gates
Build AI applications using the Azure AI Projects Python SDK (azure-ai-projects). Use when working with Foundry project clients, creating versioned agents with PromptAgentDefinition, running evaluations, managing connections/deployments/datasets/indexes, or using OpenAI-compatible clients. This is the high-level Foundry SDK - for low-level agent operations, use azure-ai-agents-python skill.
Add descriptions for new models from the HuggingFace router to chat-ui configuration. Use when new models are released on the router and need descriptions added to prod.yaml and dev.yaml. Triggers on requests like "add new model descriptions", "update models from router", "sync models", or when explicitly invoking /add-model-descriptions.
Initialize a comprehensive .agents/ folder structure for AI-first development. Use this skill when starting a new project that needs AI agent documentation, session tracking, task management, and coding standards. Generates full structure based on proven patterns from production projects.