Найдите подходящую возможность для вашего агента.
Copilot agent that assists with machine learning model development, training, evaluation, deployment, and MLOps Trigger terms: machine learning, ML, AI, model training, MLOps, model deployment, feature engineering, model evaluation, neural network, deep learning Use when: User requests involve ai ml engineer tasks.
Guides through AI pitch deck generation workflow and troubleshooting. Use when creating pitch decks, debugging wizard errors, troubleshooting Edge Functions, or working with the PitchDeckWizard component.
Stack prompts in queue while agent runs, minimizing context switches to achieve sustained 6k lines per day output and preserved flow state. Use for heavy coding sessions, iterative refinements, rapid iteration cycles, or sustained productivity. Queue enables async execution without blocking. Triggers on "flow state", "queue prompts", "heavy coding", "sustained output", "minimize interruptions".
Find example IC10 code for common patterns. Use when user asks for examples, templates, or sample code for Stationeers automation like airlocks, pressure control, solar tracking, or furnace management.
Integrate OpenAI ChatKit with a Rails backend using SSE streaming. Use when building conversational AI with thread management, message streaming, widget rendering from MCP tool results, file attachments, and human-in-the-loop form interactions. Triggers on ChatKit, chat widget, thread streaming, or widget from tool result.
HAIOS Memory Agent for intelligent context retrieval and learning. Use BEFORE answering complex questions to retrieve relevant strategies and context. Use AFTER completing tasks to extract and store learnings. Closes the ReasoningBank loop by injecting strategies into reasoning.
Expert assistant for managing AI prompts, features, and configuration in the KR92 Bible Voice AI system. Use when creating AI prompts, configuring AI features, managing prompt versions, setting up AI bindings, or working with AI pricing and models. Supports multiple vendors and models for feature flexibility.
Index project files for semantic code search. Supports incremental updates, progress tracking, and batch embedding generation.
AI capabilities in n8n - agents, LangChain, vector stores, LLM providers, RAG, AI workflows
Integrate Gemini AI CLI into Claude Code for AI collaboration, code analysis, and tool execution. Use when working with Gemini AI, Google AI, multimodal tasks, or needing advanced AI capabilities.
Multi-agent workflow orchestration patterns for Clojure+Vertex AI. Covers sequential/parallel/DAG topologies, state management (stateless/stateful/hybrid), error handling (retry/circuit breaker), and monitoring. Includes production metrics from healthcare pipeline (99.4% latency reduction, 92.4% cost reduction). Use when designing multi-agent systems, implementing complex pipelines, optimizing workflow performance, or building production orchestration.
19-agent team structure, decision trees for agent selection, Haiku vs Sonnet model selection, and agent collaboration principles. Use when deciding which sub-agent to invoke, understanding team responsibilities, or learning multi-agent orchestration.
Self-hosted AI browser automation using Browser Use with any LLM (Claude, GPT, Ollama). Use when building web scraping agents, data extraction pipelines, self-hosted automation, or when you need flexibility without API rate limits.
Enhanced docs generation with AI-powered features. Enhanced with Context7 MCP for up-to-date documentation.
Generate and edit images using either OpenAI GPT Image 1.5 or Google's Nano Banana Pro (Gemini 3 Pro Image). Use when the user asks to generate/create/edit/modify images. Supports image-to-image editing for both providers and optional mask-based inpainting for OpenAI.
Complete guide for separating meta-configurations (Claude Code tool configuration) from domain configurations (project implementation). Learn how to avoid conflicts when working with multiple projects, especially those using agent SDKs/ADKs like Google ADK, LangChain, or Anthropic SDK. Covers namespace isolation, prefixing conventions, CLAUDE.md hierarchy, scope declaration, and conflict detection strategies.
Transform long-running AI tools into real-time SSE progress streams
Use when you have Knowledge Base exports and want to identify user pain points, missing articles, and AI assistance opportunities.
Execute structural and contextual code searches using Mantic.sh to retrieve relevant code snippets and repository information for AI agents.
Index project files for semantic code search. Supports incremental updates, progress tracking, and batch embedding generation.
