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Build and run AI agents using Claude Code CLI. Use when developing autonomous agents, multi-agent systems, CI/CD automation, or scripting Claude for programmatic tasks. Covers authentication, headless mode (-p), JSON output parsing, tool restrictions, subagents, and orchestration patterns.
Create and manage .task files using AI Framework conventions
Designing Slash Commands for Claude Code. Create and optimize slash commands with proper argument parsing, tool permissions, and agent orchestration. Use when building workflow entry points, automation commands, or user-facing shortcuts.
Build production-grade applications with OpenAI APIs (direct or via Azure OpenAI). Covers structured outputs, function calling, streaming, Assistants API, Responses API, Agents SDK, cost optimization, rate limiting, error handling, and batch processing. IMPORTANT: Before implementing, gather context about the target environment including: - API provider (OpenAI direct vs Azure OpenAI) - Primary use cases (chat, function calling, structured outputs, assistants, agents) - Cost constraints and optimization requirements - Error handling and retry strategy needs
Develop and optimize AI prompt strategies for code generation. Use when creating new AI model strategies, optimizing prompts for Claude/GPT/Gemini/DeepSeek/Grok, or improving prompt quality. Includes model-specific optimization techniques.
Memory layer integration patterns for FastAPI with Mem0 including client setup, memory service patterns, user tracking, conversation persistence, and background task integration. Use when implementing AI memory, adding Mem0 to FastAPI, building chat with memory, or when user mentions Mem0, conversation history, user context, or memory layer.
Protocols for efficiently identifying, retrieving, and combining relevant skills from the index to solve complex problems without context overload.
Master integration of Vercel AI Gateway + AI SDK v6 for production AI applications. Use when (1) Building multi-model AI apps with unified routing (2) Creating autonomous agents with ToolLoopAgent (3) Implementing streaming, structured output, or tool calling (4) Setting up provider fallbacks and routing (5) Adding observability, cost tracking, ZDR compliance (6) Integrating MCP servers or web search (7) Building human-in-the-loop approval flows. Covers January 2026 patterns including Output.object(), elementStream, provider metadata, and agent architectures.
MANDATORY protocol for parallel agent execution when facing 3+ independent failures or tasks that can be investigated without shared state or dependencies - dispatches multiple Claude agents to investigate and fix independent problems concurrently
Pulumi Neo AI-powered infrastructure automation agent. Use when working with Pulumi Neo for conversational infrastructure management, creating Neo tasks, monitoring task progress, infrastructure analysis, maintenance operations, or automating multi-step cloud workflows through natural language.
Azure PostgreSQL AI Integration - Vector search, RAG pipelines, and agent memory with pgvector and azure_ai extensions
Comprehensive Claude Code telemetry via 10 hooks capturing sessions, conversations, tools, subagents, context, permissions, and repository analytics. Use when analyzing detailed usage patterns beyond default OTEL.
Generate comprehensive agents.md files for Builder.io Fusion projects. Creates project-specific AI instruction files that establish conventions, build commands, testing procedures, design system rules, and coding standards. Use when setting up a new project, onboarding a repository to AI-assisted development, or improving AI code generation quality.
Expert assistant for creating and maintaining Supabase Edge Functions for the KR92 Bible Voice project. Use when (1) creating new Edge Functions, (2) setting up CORS and error handling, (3) integrating shared modules from _shared/, (4) adding JWT validation, (5) configuring environment variables, (6) auditing or updating dependency versions across functions. Triggers include "edge function", "create function", "serverless", "deno function", "update edge imports", "version drift".
AI-powered enterprise refactoring with Context7 integration, automated code transformation, Rope pattern intelligence, and technical debt quantification across 25+ programming languages
AI-powered generation of Paracle artifacts (agents, workflows, skills, policies) from natural language descriptions. Use when you need to create new framework components programmatically.
