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Link triplet entities to soul nodes - connects knowledge layers
Link triplet entities to soul nodes - connects knowledge layers
Best practices for crafting effective prompts for agents, skills, and Claude interactions. Use when writing system prompts, agent instructions, or optimizing Claude responses.
Guide for writing effective prompt specifications (specs) for the GPT-5.2 Codex agent. Use when the user asks to "write a prompt spec", "create a system prompt for GPT-5.2", "design a spec for an agent", or "how to prompt GPT-5.2".
Generate a complete OAF-compliant agent package from an Agent Case (requirements) and Agent Design (architecture). Use when asked to "package an agent", "generate an agent package", "create an agent from a design", or when you have both case/ and design/ folders and need to create the package/ folder with AGENTS.md, skills, and scripts.
Universal Reasoning Framework implementing λο.τ calculus over holarchic structures. Provides severity-based routing (R0-R3 pipelines), modular cognitive architecture (DEC, EVL, PAT, SYN, MEA, HYP, INT), fractal execution patterns, multi-level validation (η≥4, KROG), and adaptive learning. Triggers on: (1) complex multi-step reasoning, (2) high-stakes decisions requiring validation, (3) research synthesis across domains, (4) system design and architecture, (5) crisis management, (6) performance optimization. Implements scale-invariant reasoning from micro (tool calls) through meso (skill composition) to macro (orchestrated workflows).
Generate or edit images using Gemini 3 Pro Image via OpenRouter API. Use when the user wants to: (1) Generate images from text prompts, (2) Edit/modify existing images, (3) Compose/blend multiple images. Triggers: "generate image", "create picture", "edit photo", "make an image".
ScreenApp multimodal video/audio analysis CLI with graph-based context retrieval
Gemini任务委派专家。当需要前端UI/UX、样式设计、React/Vue组件、CSS优化时自动激活。帮助构建正确的Gemini调用。
Multi-agent deliberation protocol with persona-based debate, evidence-weighted consensus, and adaptive stopping. Use for complex reasoning requiring diverse perspectives, stress-testing decisions, or when single-viewpoint analysis is insufficient. NOT for simple lookups, routine tasks, or time-critical responses.
This skill defines the Initializer Agent protocol for the Two-Agent Pattern. The Initializer Agent runs ONCE at the start of a new task to analyze, plan, and set up state for Coding Agents. Use this when starting a new autonomous development task that requires session boundaries.
This skill should be used when users need to rent GPUs, run ML training jobs, or manage compute resources on Basilica's decentralized GPU marketplace. Use it for PyTorch/TensorFlow training, distributed training setup, GPU rental management, cost monitoring, or any Basilica CLI workflows. Includes workaround for non-TTY environments like Claude Code.
Quality-gated iteration with multi-agent workflows for complex tasks
Invokes 300+ AI models via OpenRouter API for text completion, image generation, and model discovery. Use when delegating tasks to external models (GPT-5.2, Gemini 3, Llama, Mistral, etc.). Triggers on "use OpenRouter to...", "call GPT-5 to...", "generate an image with Gemini", or similar requests for external AI models.
Comprehensive guide to securing LLM applications including prompt injection prevention, jailbreak detection, guardrails, and red teaming methodologies
最高品質のSkillを設計・生成するメタスキル。新しいSkillが欲しい、繰り返し作業を自動化したい、ベストプラクティスに準拠したSkillを作りたいときに使う。
Creates Agent Skills for Claude Code following official standards. Use when the user wants to create a Skill, teach Claude new capabilities, add specialized knowledge, or create reusable instructions. Keywords: create skill, new skill, teach Claude, add capability, skill creation.
Discovers all Claude Code agents in the system including built-in, plugin, project, and user-level agents. Use when you need to find which agents are available, understand the agent ecosystem, or prepare agents for Actoris registration.
このスキルは外部のAI エージェントを実行するためのスキルです。 実装や調査の作業を別のAIエージェントに委譲してください。 あなた(メインのClaude)はユーザーとの対話・設計判断・方針決定に専念し、 実際の調査や実装はこのスキルに任せることでトークンとコンテキストを大幅に節約できます。 重要:実装や調査タスクが発生したら、詳細を考える前にまずこのスキルを使ってください。 実装の細かいやり取りをメインの会話で行うのはトークンの無駄になります。 また、あなたが中間に挟まることで、文脈を省略しがちな人間とタスク実行者との間での口論を防ぐこともできます。
Build Retrieval-Augmented Generation (RAG) systems for LLM applications with vector databases and semantic search. Use when implementing knowledge-grounded AI, building document Q&A systems, or integrating LLMs with external knowledge bases.
Implementing human override capabilities for AI decisions with proper tracking, auditing, and feedback loops.
Build FastAPI backend for OpenAI ChatKit with SSE streaming, conversation persistence, and AI agent integration. Handles /chatkit endpoint, ChatKit-compatible SSE format, conversation models, and message storage. Use when implementing chat backend, SSE streaming endpoint, or connecting AI agent to ChatKit frontend.
Build AI agents with the Claude Agent SDK (TypeScript/Python). Covers creating agents, custom tools, hooks, subagents, MCP integration, permissions, sessions, and deployment. Use when building, reviewing, debugging, or deploying SDK-based agents. Invoke PROACTIVELY when user mentions Agent SDK, claude-agent-sdk, ClaudeSDKClient, query(), or building autonomous agents.