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Found 873 Skills
Create and configure Claude Code subagents for specialized task delegation. Use when defining expert AI assistants with focused responsibilities, custom prompts, and specific tool permissions.
Create Pydantic models following the multi-model pattern with Base, Create, Update, Response, and InDB variants. Use when defining API request/response schemas, database models, or data validation in Python applications using Pydantic v2.
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.
SPEC workflow orchestration with EARS format requirements, acceptance criteria, and Plan-Run-Sync integration for MoAI-ADK development methodology. Use when creating SPEC documents, writing EARS requirements, defining acceptance criteria, planning features, or orchestrating the /moai plan phase. Do NOT use for implementation (use moai-workflow-ddd instead) or documentation generation (use moai-workflow-project instead).
Design and generate Convex database schemas with proper validation, indexes, and relationships. Use when creating schema.ts or modifying table definitions.
Python project organization, module architecture, and public API design. Use when setting up new projects, organizing modules, defining public interfaces with __all__, or planning directory layouts.
Product requirements and planning specialist. Creates PRDs and tech specs with functional/non-functional requirements, prioritizes features using MoSCoW/RICE frameworks, breaks down epics into user stories, and ensures requirements are testable and traceable. Use for PRD creation, requirements definition, feature prioritization, tech specs, epics, user stories, and acceptance criteria.
Help users define AI product strategy. Use when someone is building an AI product, deciding where to apply AI in their product, planning an AI roadmap, evaluating build vs buy for AI capabilities, or figuring out how to integrate AI into existing products.
Complete setup for automated agent-driven development. Define features as user stories with testable acceptance criteria, then run AI agents in a loop until all stories pass.
Create and validate product requirements documents (PRD). Use when writing requirements, defining user stories, specifying acceptance criteria, analyzing user needs, or working on product-requirements.md files in docs/specs/. Includes validation checklist, iterative cycle pattern, and multi-angle review process.
Evolves skills based on usage patterns. Use when improving or rolling back skill definitions.
Guide for configuring and managing GitHub secret scanning, push protection, custom patterns, and secret alert remediation. This skill should be used when users need help enabling secret scanning, setting up push protection, defining custom secret patterns, triaging secret scanning alerts, or resolving blocked pushes.