ai-reasoning-scaffolds
Use AI as a thinking partner by injecting checklists, reasoning trees, critique loops, and stepwise logic. Delegate sub-reasoning without losing coherence.
Найдите подходящую возможность для вашего агента.
Use AI as a thinking partner by injecting checklists, reasoning trees, critique loops, and stepwise logic. Delegate sub-reasoning without losing coherence.
Orchestrates complex tasks by automatically spawning specialist subagents in parallel. Use proactively when detecting complex multi-domain tasks, large refactors, comprehensive reviews, or when task complexity exceeds thresholds. Analyzes tasks and routes to appropriate agents.
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.
Analyzes narrative text and files to identify and remove AI-generated signals while preserving authentic voice and style. Runs input through comprehensive protocols covering vocabulary, syntax, character voice, emotional depth, and readability. Use this skill when you need to proof narrative content against AI detection patterns or humanize AI-assisted writing.
Use when educators need to validate if their lesson plan covers all 3 Delegation subcategories (Problem/Platform/Task Awareness). Analyzes lesson plans and provides objective scores (0-10) with actionable feedback. Works in Claude.ai, Claude Code, and API for maximum portability.
Strategic consultant for hackathons, competitions, and new projects. Provides deep research-driven ideation with multiple differentiated options, feasibility analysis, and strategic recommendations. Use when the user needs creative ideas for challenges, asks "what should I build?", requests project brainstorming, or needs strategic decision-making for competitions with specific criteria.
Expert in building comprehensive AI systems, integrating LLMs, RAG architectures, and autonomous agents into production applications. Use when building AI-powered features, implementing LLM integrations, designing RAG pipelines, or deploying AI systems.
Master advanced prompt engineering techniques to maximize LLM performance, reliability, and controllability in production. Use when optimizing prompts, improving LLM outputs, or designing production prompt templates.
Use when facing 3+ independent failures that can be investigated without shared state or dependencies - dispatches multiple Claude agents to investigate and fix independent problems concurrently
Agent assistance skill that provides stuck detection, memory management, and session learning capabilities for AI agents Trigger terms: agent stuck, loop detected, session memory, agent learning, condense memory, stuck detection, agent memory, session learnings, extraction Use when: User reports agent is stuck, looping, or needs memory/learning management
Set up AI tool symlinks in a repository for multi-agent compatibility. Use when the user wants to set up skills for Gemini, Claude, or other AI tools, or when they mention "setup skills", "configure agents", or "link AGENTS.md".
API authentication patterns, SDK installation scripts, environment variable management, and connection testing for ElevenLabs. Use when setting up ElevenLabs authentication, installing ElevenLabs SDK, configuring API keys, testing ElevenLabs connection, or when user mentions ElevenLabs authentication, xi-api-key, ELEVENLABS_API_KEY, or ElevenLabs setup.
Specialized guide for creating Claude Code skills for Dr. Sophia AI medical system. Includes healthcare integration patterns (FHIR/REST/EHR), medical compliance validation (HIPAA/PBS/TGA), botanical design integration, Railway deployment patterns, and proven examples from our 7 production skills. Use when creating skills specifically for Dr. Sophia AI, medical integration skills, healthcare compliance skills, EHR workflows, or adapting our proven skill patterns.
AI Agent の実行ガイドライン。TDD サイクル、品質保証、コンテキスト管理、完了報告のルールを定義。すべての開発タスク実行時に使用。
Enterprise session state management, token budget optimization, runtime tracking, session handoff protocols, context continuity for Claude Sonnet 4.5 and Haiku 4.5 with context awareness features
Create new Claude Code skills. Use when user wants to create, update, or improve a skill that extends Claude's capabilities with specialized knowledge, workflows, or tool integrations.
Comprehensive guide to effective prompt engineering patterns including few-shot, chain-of-thought, ReAct, and advanced prompting techniques
Coding assistant for writing LangGraph v1.xx Python applications with real-time documentation search. Use this skill when (1) writing LangGraph code or building agents, (2) implementing stateful workflows with StateGraph or Functional API, (3) searching LangChain official documentation for latest APIs, (4) needing system prompt templates in English, or (5) configuring Anthropic/OpenAI models for LangGraph. Supports MCP integration at https://docs.langchain.com/mcp for live documentation search.