LLM & Agents

Analyze checkpoint tests and suggest missing edge cases. Use after writing tests or when reviewing test coverage. Invoke with /edge-cases <problem> <checkpoint>.

A meta-skill that helps create new Agent Skills by providing templates, best practices, and validation guidance.

Repository packaging for AI/LLM analysis. Capabilities: pack repos into single files, generate AI-friendly context, codebase snapshots, security audit prep, filter/exclude patterns, token counting, multiple output formats. Actions: pack, generate, export, analyze repositories for LLMs. Keywords: Repomix, repository packaging, LLM context, AI analysis, codebase snapshot, Claude context, ChatGPT context, Gemini context, code packaging, token count, file filtering, security audit, third-party library analysis, context window, single file output. Use when: packaging codebases for AI, generating LLM context, creating codebase snapshots, analyzing third-party libraries, preparing security audits, feeding repos to Claude/ChatGPT/Gemini.

Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or tool integrations.

Create ECS component editors using IComponentEditor interface, ComponentEditorRegistry.DrawComponent wrapper, VectorPanel for vectors, and UIPropertyRenderer for simple properties. Covers registration in DI container and manual change detection patterns.

Autonomous skill creation agent that analyzes requests, automatically selects the best creation method (documentation scraping via Skill_Seekers, manual TDD construction, or hybrid), ensures quality compliance with Anthropic best practices, and delivers production-ready skills without requiring user decision-making or navigation

Helps you to run a subagent using codex exec

멀티레포 워크스페이스(~/pj/xxx/)의 CLAUDE.md를 초기화합니다. 여러 독립 저장소가 하나의 프로젝트로 관리되는 구조에서 사용하세요. (user)

Use when creating or developing, before writing code or implementation plans - refines rough ideas into fully-formed designs through collaborative questioning, alternative exploration, and incremental validation.

Claude Code extensibility: agents, skills, output styles. Capabilities: create/update/delete agents and skills, YAML frontmatter, system prompts, tool/model selection, resumable agents, CLI-defined agents. Actions: create, edit, delete, optimize, test extensions. Keywords: agent, skill, output-style, SKILL.md, subagent, Task tool, progressive disclosure. Use when: creating agents/skills, editing extensions, configuring tool access, choosing models, testing activation.

Microsoft Teams.ai integration patterns for dx-toolkit - Memory API, Anthropic SDK, MCP client setup

Find and evaluate Claude skills for specific use cases using semantic search, Anthropic best practices assessment, and fitness scoring. Use when the user asks to find skills for a particular task (e.g., "find me a skill for pitch decks"), not for generic "show all skills" requests.

Claude Code CLI tool expertise. Features: autonomous coding, slash commands, MCP servers, Agent Skills, hooks, plugins, CI/CD integration. Capabilities: setup/config, troubleshooting, skill creation, MCP integration, enterprise deployment, workflow automation. Actions: configure, troubleshoot, create, deploy, integrate Claude Code. Keywords: Claude Code, Anthropic, CLI tool, slash command, MCP server, Agent Skill, hook, plugin, CI/CD, enterprise, CLAUDE.md, agentic coding, terminal tool, workflow automation, code generation, skill creation, configuration, authentication, API key. Use when: learning Claude Code features, configuring settings, creating skills/hooks, setting up MCP servers, troubleshooting issues, CI/CD integration, enterprise deployment questions.

Guides through Terraform version upgrades including identifying deprecated syntax, updating provider versions, and migrating breaking changes. This skill should be used when users need to upgrade Terraform or provider versions, fix deprecated warnings, or migrate configurations to newer syntax.

Use this skill to discover all available AgenticDev skills and their capabilities. Provides a bootstrap context for AI agents by listing all skills, their descriptions, and script paths from the .claude/skills/ directory.

Use the @steipete/oracle CLI to bundle a prompt plus the right files and get a second-model review (API or browser) for debugging, refactors, design checks, or cross-validation.

Use when live coding music with SuperCollider via ClaudeCollider MCP server.

Optimizes prompts for LLMs and AI systems. Expert in crafting effective prompts for Claude 4.5, Gemini 3.0, GPT 5.1, and other frontier models. Use when building AI features, improving agent performance, or crafting system prompts.

Escalation path when stuck on pattern development. Use when encountering TypeScript errors, framework confusion, unexpected behavior, or blocked progress. Five-step recovery: check docs, study examples, strategic investigation (plan mode + subagents), reset and retry, ask user.

Spawn, monitor, and manage Claude Code agents in parallel tmux sessions. Supports simple ad-hoc agents and complex DAG-based multi-agent orchestration with wave execution.