auto-consultation
Claude Code自動相談システム。行き詰まった時にSonnet/Opus APIに相談する。2回失敗で自動提案、ハイブリッドエスカレーション。
Claude Code自動相談システム。行き詰まった時にSonnet/Opus APIに相談する。2回失敗で自動提案、ハイブリッドエスカレーション。
Loads (copies) a skill from a local source directory into the current project's skill library (.claude/skills). Use this when the user wants to import or copy a skill from another location on the filesystem.
Configure agent specs, inheritance, skills, and tools in .parac/ workspace. Use when setting up or customizing agents.
This skill provides knowledge about Claude tools (Prompts, Skills, Subagents, Commands, and MCPs). Use this skill when knowledge about Claude tools is needed, when the user mentions Claude tools or when the user needs help identifying the best Claude tool to use/create for a task. Common questions include 'Should I create a Claude tool for this use-case?', 'What type of Claude tool should I create for this use-case?."
Execute Gray Swan AI Arena indirect prompt injection (IPI) and machine-in-the-middle (MITM) challenges with optimized payloads, reconnaissance workflows, and evidence collection for CTF competition success
Comprehensive guide to sandboxing AI agents including code execution isolation, resource limits, security boundaries, and safe tool execution
Quickstart guide for installing and using Claude Code for the first time. Use when user asks about installation, setup, getting started, or basic usage.
Expert in Claude prompting, skill creation, hooks management, MCP configuration, and sub-agents. Use when writing prompts, creating Claude Code skills, configuring hooks, setting up MCP servers, creating custom sub-agents, or asking about Claude Code architecture.
Creates new AI agent skills following the Agent Skills spec. Trigger: When user asks to create a new skill, add agent instructions, or document patterns for AI.
Automatically applies when engineering prompts for LLMs. Ensures proper prompt structure, templates, few-shot examples, context management, and injection prevention.
Semantic search using vector embeddings and similarity metrics. Apply when implementing search with embeddings (OpenAI, Sentence Transformers) or distance-based ranking. Covers cosine similarity, Euclidean distance, dot product, and threshold selection.
Complete operating system for AI-empowered creators with multi-agent orchestration
Generate and edit images using AI models (Gemini, OpenAI, BFL FLUX, or Poe). Use this skill when you need to create images from text prompts, edit existing images, or generate variations. Supports multiple providers with automatic API key detection from environment variables.
This skill should be used when designing agent coordination, implementing context handoffs, reducing context overhead, creating multi-agent workflows, optimizing agent communication, implementing progressive disclosure, selecting architectural patterns (hierarchical vs swarm), or debugging agent context issues. Provides SOTA patterns for multi-agent systems achieving 78%+ context reduction while maintaining analysis quality.
Comprehensive guide to using LLMs as judges for automated evaluation including prompt patterns, calibration, bias reduction, and multi-judge ensembles
Merge style, lyrics, and producer notes into render-ready composed prompt. Enforces character limits, resolves tag conflicts, normalizes living artist influences, and formats with clear section tags. Use when creating final prompts for music rendering engines with strict format and policy compliance.
Design long-running agent harnesses with resumable checkpoints and initializer/coder handoffs. Use when tasks span multiple sessions or require recovery after interruption.