agent-model-selection
Guidelines for selecting appropriate AI model (Sonnet vs Haiku) based on task complexity, ensuring cost efficiency while maintaining quality. Use when assigning work.
langgraph-patterns
LangGraph 패턴 및 이 Coding Agent 프로젝트의 아키텍처 지식. "LangGraph", "노드", "상태", "워크플로우" 관련 질문 시 자동 로드.
fpf-generate-pattern
Generates FPF-compliant Agent Skills from the FPF Specification (Strict E.8 format).
elevenlabs
Generate realistic AI voices with ElevenLabs - create speech, clone voices, and manage audio projects
prompt-engineering
Use when "writing prompts", "prompt optimization", "few-shot learning", "chain of thought", or asking about "RAG systems", "agent workflows", "LLM integration", "prompt templates"
building-skills-marketplace
Use when creating new Claude Code skills, setting up marketplace repositories, or packaging skills for distribution - complete workflow from skill creation to marketplace publication
agentdb-advanced-features
Master advanced AgentDB features including QUIC synchronization, multi-database management, custom distance metrics, hybrid search, and distributed systems integration. Use when building distributed AI systems, multi-agent coordination, or advanced vector search applications.
create-agent
Create custom sub-agents for Claude Code. Use when creating a new agent in .claude/agents/ for specialized tasks like exploration, verification, implementation, or API lookups.
claude-code-changelog
Fetch and explain Claude Code changelog for specific versions. Use when users ask about Claude Code updates, version changes, new features, bug fixes, or want to understand what changed between versions. Triggers on queries like "What's new in Claude Code X.Y.Z?", "Claude Code changelog", "What changed in the latest version?", or "Explain Claude Code updates".
context-prep
Prepare optimal context package before delegating tasks to sub-agents
create-skills
効果的なスキルを作成するためのガイド。ユーザーが専門知識、ワークフロー、ツール統合でClaudeの能力を拡張する新しいスキルを作成（または既存のスキルを更新）したい場合に使用します。
claude-agent-ts-sdk
Build Claude agents using TypeScript with the @anthropic-ai/claude-agent-sdk. Use this skill when implementing conversational agents, building tools for agents, setting up streaming responses, or debugging agent implementations. Covers the tool wrapping pattern, SDK initialization, agent architecture, and best practices.
mcp-server-stdio
Creates and configures stdio Model Context Protocol (MCP) server connections for OpenAI Agents SDK
response-timestamps
Automatically adds timestamps and execution duration to all Claude responses
codex-exec
Execute codex CLI as sub-agent for thorough code reviews (codex's specialty), alternative approaches when stuck, or complex problems requiring extended investigation. Note that inference takes significant time.
gemini-cli
Gemini CLI is a command-line interface tool that provides direct access to Google's Gemini AI models through the terminal, designed specifically for developers and technical professionals. It serves a...
prompt-engineering-helper
LLMプロンプトの最適化・テスト支援スキル。プロンプトのパフォーマンス評価、改善提案、A/Bテスト、ベストプラクティス適用、再現性検証を行います。
promptly-agent-builder
Create, update, or fix standalone Swift command line agents built with Swift Package Manager that use Promptly packages (PromptlyKit, PromptlyConsole, PromptlyKitTooling, PromptlySubAgents). Use when asked to scaffold a new Promptly-based agent, change its prompts or command line interface, add or adjust tools or sub agents, or diagnose build and run errors in such agents.
agentuity-cli-cloud-vector-get
Get a specific vector entry by key. Requires authentication. Use for Agentuity cloud platform operations
kbd-morphology
Expert in Kabardian morphological analysis. Provides word structure breakdown, verb template analysis ([PRAGM]-[GEOM]-[ARGS]-[STEM]-[TAM]-[SUBORD]), prefix/suffix identification, derivational patterns, and multi-person verb analysis. Activates when user requests morphological analysis, mentions "морфология", "разбор слова", "структура глагола", "префикс", "суффикс", or needs help understanding complex word forms.
context-orchestrator
Orchestrates context retrieval from three CLI sources: limitless (personal life transcripts), research (online documentation/facts), pieces (local code/LTM). Use when external context is needed beyond the current codebase. Triggers on /context, /limitless, /research, /pieces, or balanced detection on complex prompts involving personal memory, technical documentation, or development history.
init-memory
Initialize the memory system in an AI-ready vault. Creates the folder structure, Memory.md dashboard, and example files needed for cross-session memory persistence. Use when setting up a new vault or adding memory capabilities to an existing vault.
