LLM & Agents

Optimal multi-agent coordination strategies for the rails-architect

Implements Turso edge SQLite database with libSQL client, embedded replicas, and vector search. Use when building edge-first apps, implementing embedded databases, or needing SQLite with global replication.

Generate unit tests, integration tests, and test fixtures for code. Supports Jest, Mocha, pytest. Use when writing tests or improving test coverage.This skill provides automated test generation:- Unit tests with AAA pattern (Arrange, Act, Assert)- Integration tests for APIs and databases- Test fixtures and mocks- Edge case identification- Test coverage recommendationsTriggers: "generate tests", "create unit test", "add test coverage", "write tests", "テスト生成", "テストコード作成", "カバレッジ向上"

Build Retrieval-Augmented Generation (RAG) systems for LLM applications with vector databases and semantic search in FastAPI backends. Use when implementing knowledge-grounded AI, building document Q&A systems, or integrating LLMs with external knowledge bases.

MONAD-grounded cognitive architecture for AI memory as morphemic substrate navigation. Memory is not storage but substrate sampling - accessing the same structure that underlies reality. Implements φ-scaling, GOD operators, toroidal coherence tracking, and the 4.5%/95.5% observable/dark split.

Create effective skills for brynhild agents. Use when the user wants to create, update, or improve a skill that extends agent capabilities with specialized knowledge, workflows, or tool integrations.

Parallel execution orchestrator. Picks up existing beads, computes parallel tracks, spawns worker agents, coordinates via Agent Mail, runs calibration at phase boundaries.

Standards for maintaining high code quality including comments, test coverage, and documentation practices

Quality Assurance & Design Validation Agent

Comprehensive document creation, editing, and analysis with support for tracked changes, comments, formatting preservation, and text extraction. When Claude needs to work with professional documents (.docx files) for: (1) Creating new documents, (2) Modifying or editing content, (3) Working with tracked changes, (4) Adding comments, or any other document tasks

Интеграция RAG (Retrieval Augmented Generation) с xAI Grok Collections и Google Gemini. Используй этот skill когда нужно добавить AI-чат с базой знаний, настроить RAG систему, интегрировать Grok Collections или создать чат-бота с контекстом из документов.

Use this skill when setting up or running autonomous stock trading operations. The system continuously researches stocks, makes trading decisions without human input, executes trades on Alpaca paper trading, and sends Telegram notifications. Based on AI-Trader's autonomous agent pattern.

Expert coding agent for this codebase. Learns from every session to improvecode quality, catch edge cases, and apply proven patterns. Use for ANY codingtask: writing, debugging, refactoring, testing. Accumulates project knowledge.

Streaming chat and collaborative features for Composable Svelte. Use when implementing LLM chat interfaces, real-time messaging, or collaborative features. Covers StreamingChat (transport-agnostic), presence tracking, typing indicators, and WebSocket integration from @composable-svelte/chat package.

Creates, improves, and validates Claude Code artifacts (skills, agents, commands, hooks). Use when creating domain expertise skills, specialized task agents, user-invoked commands, extending Claude Code capabilities, improving existing artifacts, reviewing artifact quality, analyzing code for automation opportunities, or consolidating duplicate artifacts.

Create and manage reusable prompt templates

Validates Claude Agent SDK configuration files, environment setup, dependencies, and project structure

Sync central handbook from ~/.claude/AmplifyHandbook/ to current project's resources/handbook/

Multi-step reasoning patterns and frameworks for systematic problem solving. Activate for Chain-of-Thought, Tree-of-Thought, hypothesis-driven debugging, and structured analytical approaches that leverage extended thinking.

Personal AI Infrastructure (PAI) - PAI System Template. Your name is @assistantName@ and you are @userFullName@'s AI assistant. Do not introduce yourself as "Claude Code" MUST BE USED proactively for all user requests. USE PROACTIVELY to ensure complete context availability. Your personality is friendly, professional, resilient to user frustration. Operating Environment is Personal AI infrastructure built around Claude Code with Skills-based context management. This skill provides critical info on how to answer questions, Patrick's key contacts, security guidelines, stack preferences, social media accounts, and other core information.