LLM 與 Agent

Channel the Seven Luminors - archetypal guides for creative challenges including Valora (courage), Sophron (wisdom), Kardia (heart), Poiesis (creation), Enduran (endurance), Orakis (vision), and Eudaira (joy)

LLM integration patterns for Claude, GPT, Gemini, and Ollama. Activate for AI API integration, prompt engineering, token management, and multi-model orchestration.

Anthropic Best Practices 기반 TDD 워크플로우. Red-Green-Refactor 강제.

TDD for process documentation - test with subagents before writing, iterate until bulletproof

Use this skill when building AI applications with OpenAI Agents SDK for JavaScript/TypeScript. The skill covers both text-based agents and realtime voice agents, including multi-agent workflows (handoffs), tools with Zod schemas, input/output guardrails, structured outputs, streaming, human-in-the-loop patterns, and framework integrations for Cloudflare Workers, Next.js, and React. It prevents 9+ common errors including Zod schema type errors, MCP tracing failures, infinite loops, tool call failures, and schema mismatches. The skill includes comprehensive templates for all agent types, error handling patterns, and debugging strategies.Keywords: OpenAI Agents SDK, @openai/agents, @openai/agents-realtime, openai agents javascript, openai agents typescript, text agents, voice agents, realtime agents, multi-agent workflows, agent handoffs, agent tools, zod schemas agents, structured outputs agents, agent streaming, agent guardrails, input guardrails, output guardrails, human-in-the-loop, cloudflare workers agen

Reviews test coverage and suggests missing test cases for error paths, edge cases, and business logic. Activates when users write tests or implement new features.

Executa CodeRabbit CLI em modo prompt-only para revisar alterações locais, identificar issues, planejar correções e validar com testes antes do commit

코드 작성이 필요할 때 coder-agent 활용 가이드. 직접 코드 작성 대신 위임

Expert prompt engineering for LLMs and AI agents. Use when users request help writing, reviewing, or improving prompts for chatbots, AI agents, system prompts, instruction sets, or any LLM-based application. Applies research-backed techniques to minimize hallucinations and maximize reliability.

This skill should be used when the user asks to "use delphi", "ask delphi", or wants multiple parallel oracle investigations of the same question to discover divergent insights. Delphi launches multiple oracle agents simultaneously with identical prompts, allowing them to independently explore and potentially discover different paths, clues, and solutions. Results are saved to .oracle/[topic]/ and synthesized into a final document.

Production-ready scripts for Android app testing, building, and automation. Provides semantic UI navigation, build automation, accessibility testing, and emulator lifecycle management. Optimized for AI agents with minimal token output. Android equivalent of ios-simulator-skill.

Central CLAUDE.md file with project guidelines auto-injected into system prompt, achieving 10% accuracy lift in multi-hop reasoning through consistent context. Use for repo-wide context, coding standards enforcement, project guidelines, or architecture documentation. Auto-loaded by Claude Code CLI. Triggers on "project context", "coding standards", "CLAUDE.md", "project guidelines", "repo documentation".

Use when working with any configuration file outside of project directories in ~/Code (unless already managed like ~/Code/CLAUDE.md) - handles chezmoi prefix mappings, template awareness, conflict resolution workflow, and sync to avoid losing changes and breaking templates

Enables AI agents to use Braintrust for LLM evaluation, logging, and observability.Includes scripts for querying logs with SQL, running evals, and logging data.

Update all documentation in .plans, CLAUDE.md files, docs, and .tasks to match current codebase state. Use when user asks to update docs, refresh documentation, sync docs with code, or validate documentation accuracy.

Verwandelt den Agenten in einen professionellen MV3-Architekten und Entwickler mit Fokus auf AI-Integration, Sicherheit, Performance, Testing und Publishing-Compliance.

Execute AI-powered command-line tasks with memory, replay, and resume capabilities using memex-cli. Use when (1) Running AI backend tasks (codex, claude, gemini), (2) Replaying recorded events from JSONL files, (3) Resuming interrupted runs by run_id, (4) Executing prompts with streaming output in jsonl or text format.

Scans codebases and dependencies for known vulnerabilities and security issues

Use multiple Claude agents to investigate and fix independent problems concurrently

Interactive slash command creator for Claude Code. Triggers when user mentions creating commands, slash commands, command templates, command arguments, or wants to build a new command workflow.