Ship a Python generative-AI app to Azure the keyless way, using DefaultAzureCredential and azd. Use when deploying a Python GenAI service, wiring an Azure OpenAI client without API keys, provisioning managed identity for Azure compute, running a pre-deploy gate, or building an azure.yaml for a container app. Triggers…
Audit the CLAUDE.md hierarchy in a repo for drift between what each CLAUDE.md claims and what's actually on disk. Validates that referenced file paths still exist, flags voice violations (em dashes, "ask" as a noun), and checks the ground-truth facts block for stale tokens (MCP spec date, transports, model lineup).…
Score a Python generative-AI app's outputs on groundedness, relevance, coherence, and safety before it ships. Use when building a prompt-eval harness, writing eval cases for a GenAI feature, gating a deploy on quality thresholds, or measuring whether model answers stay grounded and on-topic. Triggers on "evaluate my…
Scaffold production-ready Python MCP servers using FastMCP. Use when creating new MCP servers, initializing MCP projects, generating server boilerplate, or setting up MCP development environments. Supports all MCP primitives (tools, resources, prompts) with Pydantic validation, async patterns, and proper project…
Review uncommitted local changes in the current git working tree for bugs, smells, missing tests, and CLAUDE.md voice violations. Use when the user asks to "review my changes", "look at my diff", "check my staged changes", "code review my working tree", or wants a sanity check before committing or opening a PR. Do NOT…