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Found 12,645 Skills
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.
Use to navigate and structure Markdown context with clear hierarchy and progressive disclosure. Follow explicit links to read only what’s needed and avoid scanning unrelated content.
Integrate the Agentic Commerce Protocol (ACP) for AI-driven commerce between buyers, agents, and businesses
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`.
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.
Azure AI Evaluation SDK for Python. Use for evaluating generative AI applications with quality, safety, agent, and custom evaluators. Triggers: "azure-ai-evaluation", "evaluators", "GroundednessEvaluator", "evaluate", "AI quality metrics", "RedTeam", "agent evaluation".
Build AI agents with tools, memory, and multi-step reasoning - ChatGPT, Claude, Gemini integration patterns
OpenAI Agents SDK (Python) development. Use when building AI agents, multi-agent workflows, tool integrations, or streaming applications with the openai-agents package.
AI-first security scanning with Medusa. 3,000+ detection patterns covering AI/ML, agents, MCP, RAG, prompt injection, and traditional SAST vulnerabilities. Wraps Medusa CLI with SARIF/JSON parsing, structured finding output, OWASP mapping, and remediation guidance.
Creates agent-optimized technical design documents with context-layer-aware progressive disclosure for architecture decisions, component design, and data models. Use when writing technical designs, architecture docs, defining system components, or making technology choices for spec-driven development.
Design and implement agent-based models (ABM) for simulating complex systems with emergent behavior from individual agent interactions. Use when "agent-based, multi-agent, emergent behavior, swarm simulation, social simulation, crowd modeling, population dynamics, individual-based, " mentioned.
Expert blueprint for real-time strategy games including unit selection (drag box, shift-add), command systems (move, attack, gather), pathfinding (NavigationAgent2D with RVO avoidance), fog of war (SubViewport mask shader), resource economy (gather/build loop), and AI opponents (behavior trees, utility AI). Use for base-building RTS or tactical combat games. Trigger keywords: RTS, unit_selection, command_system, fog_of_war, pathfinding_RVO, resource_economy, command_queue.