Use this skill for processing and analyzing large tabular datasets (billions of rows) that exceed available RAM. Vaex excels at out-of-core DataFrame operations, lazy evaluation, fast aggregations, efficient visualization of big data, and machine learning on large datasets. Apply when users need to work with large CSV/HDF5/Arrow/Parquet files, perform fast statistics on massive datasets, create visualizations of big data, or build ML pipelines that do not fit in memory.

Find other agents on the same server. Use when the user asks about other agents, wants to migrate memory from another agent, or needs to find an agent by name or tags.

Connect to MCP (Model Context Protocol) servers and create skills for repeated use. Load when a user wants to use an MCP server, connect to external tools via MCP, or when they mention MCP, model context protocol, or specific MCP servers.

Durability and state persistence for TanStack AI chats with @tanstack/ai-persistence. Routes to server chat persistence (withPersistence), client persistence (localStorage/IndexedDB), the store contracts, and adapter recipes. Distinguishes delivery durability (resumable streams) from conversation state. Use when conversations must survive reloads, multi-device, approvals, or server restarts — NOT for stream reconnect alone.

Runs a hypothesis-driven debugging loop across any language or binary, escalating to orthogonal oracle angles and locking the fix with a failing test. Use for crashes, silent failures, hangs, wrong responses, memory leaks, async misbehavior, or reverse engineering.

Prepare, publish, recover, and verify Squad insider, preview, and stable releases

Coordinating work across multiple Squad instances — discovery, delegation, and disambiguation when the user says 'squad' (the product) vs casual English 'group of agents'.

Autonomously research a topic via multi-round web search, synthesize findings, and file structured results into the Obsidian wiki. Use this skill when the user says "/wiki-research [topic]", "research X", "find everything about Y", "do a deep dive on Z", "autonomous research on X", or wants comprehensive, web-sourced knowledge on a topic filed directly into their wiki.

Produce a token-bounded, citation-ready context slice from an existing Obsidian vault for a downstream agent or task. Use for "/wiki-context-pack", "use my vault as context", "context slice for X", "pack the wiki for my agent", or "bounded context for Y".

TRIGGER when working with ai-sdk which is Laravel official first-party AI SDK. Activate when building, editing AI agents, chatbots, text generation, image generation, audio/TTS, transcription/STT, embeddings, RAG, vector stores, reranking, structured output, streaming, conversation memory, tools, queueing, broadcasting, and provider failover across OpenAI, Anthropic, Gemini, Azure, Groq, xAI, DeepSeek, Mistral, Ollama, ElevenLabs, Cohere, Jina, and VoyageAI. Invoke when the user references ai-sdk, the `Laravel\Ai\` namespace, or this project's AI features — not for Prism PHP or other AI packages used directly.

Look up who has starred the microsoft/agent-academy repository on GitHub. Use this skill whenever the user wants to check stargazers, see if a specific GitHub user has starred the repo, or retrieve an up-to-date list of stargazers. Trigger whenever the user says "who starred agent academy", "check stargazers", "has <user> starred the repo", or asks anything about the repository's stargazer list. This skill uses the GitHub CLI to fetch stargazers via the GitHub API and saves the results to a local JSON file. It will install prerequisites if needed.

Manage .facts files — atomic, validatable truth statements about a project. Install, check, list, add, edit, remove, and lint facts via the CLI. ALWAYS read this skill when the user mentions facts in any capacity.

Fully autonomous bug hunting pipeline — discover bugs in a scoped area using parallel subagents, independently triage each finding, fix confirmed issues with subagents, then audit all fixes against repo constraints and target platforms. Runs end-to-end without user interaction.

Explore and understand codebases using SocratiCode semantic search, dependency graphs, and context artifacts. Use when exploring code, understanding architecture, finding functions/types, analysing dependencies, searching database schemas or API specs, or when socraticode/codebase_search tools are available. Activates when the user asks about code structure, wants to find where a feature lives, or needs to understand how code is organised.

家庭档案管理 — 当用户提到自己或家人的喜好、兴趣、习惯、身体状况、作息规律、家庭规则时激活，无论用户是否明确要求"记录"。也在用户修正已有记录、要求删除、或查询家庭档案时激活。

每日习惯洞察 —— 从家庭档案识别值得建成任务的习惯，主动 IM 推荐给主人；主人认可后据此建任务。两条路径：cron 触发的【扫描推荐】(路径 A) 与用户回应触发的【回应处理】(路径 B)。防骚扰由 miloco-cli habit 状态机裁定。

查询与控制米家智能家居设备。查询能力包括设备开关状态、运行状态、电量、设定温度、当前温湿度、PM2.5 等环境与设备数据；控制能力包括开关灯、调节空调温度/模式/风速、控制窗帘开合、启动或停止扫地机器人、开关摄像头等设备操作；场景能力包括触发已有米家场景，如回家、离家、睡眠等智能场景；以及刷新设备列表缓存。

Create a fixed full-screen WebGL laser background effect with a thin white-hot vertical core, restrained brand-colored halo, and soft smoky fog around the beam. Use only for laser background effects, not full page layout, copy, generic hero scenes, particles, or unrelated motion systems.

Create masked staggered word reveals on scroll with GSAP ScrollTrigger. Use when headings, hero copy, section titles, or editorial text should reveal word-by-word through an overflow mask as they enter the viewport.

Build, debug, balance, or test combat enemy AI for playable action games. Use for aggro, target selection, navigation, spacing, attack choices, telegraphs, retreats, boss behavior, behavior-state machines, and deterministic AI regression tests.