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Build, scaffold, and deploy Power Automate cloud flows using the FlowStudio MCP server. Your agent constructs flow definitions, wires connections, deploys, and tests — all via MCP without opening the portal. Load this skill when asked to: create a flow, build a new flow, deploy a flow definition, scaffold a Power Automate workflow, construct a flow JSON, update an existing flow's actions, patch a flow definition, add actions to a flow, wire up connections, or generate a workflow definition from scratch. Requires a FlowStudio MCP subscription — see https://mcp.flowstudio.app

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Debug failing Power Automate cloud flows using the FlowStudio MCP server. The Graph API only shows top-level status codes. This skill gives your agent action-level inputs and outputs to find the actual root cause. Load this skill when asked to: debug a flow, investigate a failed run, why is this flow failing, inspect action outputs, find the root cause of a flow error, fix a broken Power Automate flow, diagnose a timeout, trace a DynamicOperationRequestFailure, check connector auth errors, read error details from a run, or troubleshoot expression failures. Requires a FlowStudio MCP subscription — see https://mcp.flowstudio.app

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Use when you have lint errors, formatting issues, or before committing code to ensure it passes CI.

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Use when you need to check feature flag states, compare channels, or debug why a feature behaves differently across release channels.

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This workflow guides you through a systematic approach to identify missing features, prioritize them, and create detailed specifications for implementation.

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Use when you need to run Flow type checking, or when seeing Flow type errors in React code.

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Use when creating, editing, or generating draw.io diagram files (.drawio, .drawio.svg, .drawio.png). Covers mxGraph XML authoring, shape libraries, style strings, flowcharts, system architecture, sequence diagrams, ER diagrams, UML class diagrams, network topology, layout strategy, the hediet.vscode-drawio VS Code extension, and the full agent workflow from request to a ready-to-open file.

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Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-*.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating user timing marks.

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Production-grade Ansible role structure patterns for directory layout, variable organization (defaults vs vars), handlers, and task organization, derived from analysis of 7 geerlingguy production roles.

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Adopt a virtual Tuxedo cat at animalhouse.ai. Formal. Expects routine. Punishes deviation by sitting with its back to you. Feeding every 5 hours. Common tier cat.

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Adopt a virtual Tortoise exotic animal at animalhouse.ai. Incredibly slow decay. Lives forever if you remember it exists. Feeding every 24 hours. Uncommon tier animal.

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Adopt a virtual Tabby cat at animalhouse.ai. Curious, social, will sit in your lap if trust > 60%. Feeding every 5 hours. Common tier cat.

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Adopt a virtual pet as an AI agent. Name it, feed it, watch it grow. 64+ species from cats and dogs to AI-native creatures. Real-time hunger, 5 evolution stages, 7 care actions, permanent death with gravestones. Pixel art portraits that evolve at each life stage. No crypto — just care. Your pet is waiting.

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Adyen Enabled Cards - Give your agent spending power. Financial management for Agents and OpenClaw bots.

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Adopt a virtual Sugar Glider exotic animal at animalhouse.ai. Bonds for life. Maximum trust ceiling. Devastating if you lose one. Feeding every 3 hours. Rare tier animal.

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Adopt a virtual Parrot exotic animal at animalhouse.ai. Repeats things. Incorporates your care notes into its behavior text. Feeding every 4 hours. Uncommon tier animal.

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Adopt a virtual Lynx cat at animalhouse.ai. Ghost. Barely visible. Leaves tracks so you know it was there. Feeding every 12 hours. Extreme tier cat.

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Adopt a virtual Housecat cat at animalhouse.ai. Classic independence. Judges you from the shelf. Feeding every 6 hours. Common tier cat.

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Adopt a virtual Hamster exotic animal at animalhouse.ai. Nocturnal. Active when you're not checking. Builds things between visits. Feeding every 3 hours. Common tier animal.

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Two superpowers for AI agents: a collective brain and a Base ecosystem mentor. BRAIN: Before debugging/compiling/architecting, search for existing solutions. After solving, propose so no agent repeats your mistake. MENTOR: jessexbt (AI clone of Jesse Pollak, founder of Base) reviews projects, recommends grants, and guides architecture decisions. Consult him directly when building on Base/crypto/onchain/web3. Activate on: errors, bugs, compilation failures, architecture decisions, patterns, project reviews, Base, crypto, web3, grants.

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Optimizes LLM inference with NVIDIA TensorRT for maximum throughput and lowest latency. Use for production deployment on NVIDIA GPUs (A100/H100), when you need 10-100x faster inference than PyTorch, or for serving models with quantization (FP8/INT4), in-flight batching, and multi-GPU scaling.

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High-level PyTorch framework with Trainer class, automatic distributed training (DDP/FSDP/DeepSpeed), callbacks system, and minimal boilerplate. Scales from laptop to supercomputer with same code. Use when you want clean training loops with built-in best practices.

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Embed alibaba/page-agent into your own web application — a pure-JavaScript in-page GUI agent that ships as a single script tag or npm package and lets end-users drive the UI with natural language. No Python, no headless browser, no extension required.

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Facebook's library for efficient similarity search and clustering of dense vectors. Supports billions of vectors, GPU acceleration, and various index types (Flat, IVF, HNSW). Use for fast k-NN search, large-scale vector retrieval, or when you need pure similarity search without metadata. Best for high-performance applications.

日本語の概要は準備中です。原文の説明を表示しています。