LLM & Agents

Implement real-time streaming UI patterns for AI chat applications. Use when adding responselifecycle handlers, progress indicators, client effects, or thread state synchronization.Covers onResponseStart/End, onEffect, ProgressUpdateEvent, and client tools.NOT when building basic chat without real-time feedback.

Intent-based code discovery for CLI AI agents using semantic search MCP tools. Use when finding code by what it does (not what it's called), exploring unfamiliar areas, or understanding feature implementations. Mandatory for code discovery tasks when you have MCP access.

Expert guidance for implementing BRC-100 conforming wallets using @bsv/wallet-toolbox. Covers wallet initialization, transaction creation/signing, key management, storage, and certificate operations following the BRC-100 standard.

Core fundamentals of Unsloth for fast LLM fine-tuning, covering FastLanguageModel setup, optimized gradient checkpointing, and native inference acceleration (triggers: unsloth, FastLanguageModel, from_pretrained, get_peft_model, for_inference, gradient checkpointing).

Use when user says "execute plan", "implement story", "run plan for [ID]", "start implementation", or asks to execute a planned story - loads TDD implementation plan from .claude/data/plans/, executes RED-GREEN-COMMIT cycles for each task, updates story status through active->reviewing->implemented, verifies acceptance criteria, and outputs implementation report. (project)

Comprehensive AI/ML development guide for LangChain, LangGraph, and ML model integration in FastAPI. Use when building LLM applications, agents, RAG systems, sentiment analysis, aspect-based analysis, chain orchestration, prompt engineering, vector stores, embeddings, or integrating ML models with FastAPI endpoints. Covers LangChain patterns, LangGraph state machines, model deployment, API integration, streaming, error handling, and best practices.

Perform systematic code review following Phoenix/FAAD HMI standards and best practices. Use when reviewing pull requests, checking code quality, or validating implementations before commit. Checks MobX patterns, UI components, architecture, testing, and common pitfalls.

AI SDK v6 development patterns and guidance. Triggers on AI SDK, generateText, streamText, ToolLoopAgent, tool, agent, LLM, structured output, generateObject, useChat, @ai-sdk/react, createAgentUIStreamResponse, Output.object, stepCountIs, UIMessage, ModelMessage keywords.

Create interactive algebra tiles manipulatives using p5.js where students drag tiles and see cancellations when opposites overlap.

Analyzes property listings to extract key data, generate comparisons, identify insights, and create professional real estate documentation for agents and investors.

An important skill, to help agents assist doctors with diagnosising patients.

Scaffolds a new Python tool utility in 'src/tools/' for agents to call. Tools are utility functions (web scraping, PDF parsing, database queries) that agents use. Use when creating utilities that agents depend on.

Pattern for spawning parallel subagents efficiently. Use when you need multiple independent tasks done concurrently.

Expert knowledge of ZIP-based archive synchronization system. Use when working with archive agents, manifests, sync operations, or troubleshooting archive-related issues.

Evaluates and improves Claude Skills across all ~/.claude/ locations

Opens a named terminal tab in VSCode via Antigravity Bridge (port 4000). Use when spawning agent terminals for swarm workers.

Master RL theory - MDPs, value functions, Bellman equations, value/policy iteration, TD

Use when executing implementation plans with independent tasks in the current session - dispatches fresh subagent for each task with code review between tasks, enabling fast iteration with quality gates

Virtual test environment for Claude Code hooks, plugins, and agents. Use when testing or validating plugin components without affecting production.

Analyze Claude Code plugins for quality, DX, and architecture. Use when "review plugin quality", "audit plugins", "analyze the marketplace", "check plugins against Anthropic standards", "improve plugin design", or evaluating plugin architecture. Provides systematic analysis methodology with validation framework.