LLM & Agents

Analyzes warehouse shipment backlogs to optimize batch picking and packing workflows. Use when a merchant needs help clearing order backlogs, improving picking efficiency, optimizing batch sizes, or understanding order composition patterns. Triggers on questions about shipping delays, picking strategies, packing station setup, warehouse workflow optimization, or order fulfillment bottlenecks. Works with Fulfil MCP data or user-provided shipment data (CSV/Excel).

Extend the Strategy Coach agent with new capabilities. Use when user says "add coaching phase", "new research pillar", "extend agent", "add strategic output", or asks to enhance the AI coaching methodology.

AI agent with retrieval tool for document Q&A using RAG and LangGraph.

Use when receiving code review feedback (especially if unclear or technically questionable), when completing tasks or major features requiring review before proceeding, or before making any completion/success claims. Covers three practices - receiving feedback with technical rigor over performative agreement, requesting reviews via code-reviewer subagent, and verification gates requiring evidence before any status claims. Essential for subagent-driven development, pull requests, and preventing false completion claims.

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.