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Found 9,549 Skills
ALWAYS use when working with Angular Signals and HttpClient, toSignal, toObservable, or HTTP with signals.
Retrieves authoritative, up-to-date technical documentation, API references, configuration details, and code examples for any developer technology. Use this skill whenever answering technical questions or writing code that interacts with external technologies. This includes libraries, frameworks, programming languages, SDKs, APIs, CLI tools, cloud services, infrastructure tools, and developer platforms. Common scenarios: - looking up API endpoints, classes, functions, or method parameters - checking configuration options or CLI commands - answering "how do I" technical questions - generating code that uses a specific library or service - debugging issues related to frameworks, SDKs, or APIs - retrieving setup instructions, examples, or migration guides - verifying version-specific behavior or breaking changes Prefer this skill whenever documentation accuracy matters or when model knowledge may be outdated.
Render a Claude-style prompt typing animation video by calling Remotion CLI against the remote site https://www.laosunwendao.com. Use when the user asks for "做一个 claude 的提示词打字机动画", "做 Claude 打字动画", "创建提示词动画", or similar requests that convert a text prompt into a typing-animation video.
Capture a visual demo reel (GIF, terminal recording, screenshots) for PR descriptions. Use when shipping UI changes, CLI features, or any work with observable behavior that benefits from visual proof. Also use when asked to add a demo, record a GIF, screenshot a feature, show what changed visually, create a demo reel, capture evidence, add proof to a PR, or create a before/after comparison.
Alibaba Cloud SLS (Simple Log Service) log query & analysis skill. Use this skill to help users write, explain, optimize, execute, or troubleshoot SLS index search, SQL analytics, and SPL scan/pipeline statements through the aliyun CLI. Triggers: "SLS 查询", "SLS 分析", "日志查询", "日志分析", "log query", "analyze sls logs", "aliyun log query".
Use Gizmo to create, inspect, edit, validate, and automate browser 3D worlds with the gizmo CLI, live sessions, MCP, screenshots, component schemas, module authoring, and stable entity IDs. Use when working with Gizmo worlds, setting up agents for Gizmo, or generating 3D scenes through CLI/MCP workflows.
Use this skill whenever the user asks about live sports scores, standings, team stats, game summaries (with box score, leaders, scoring plays, odds, and win probability), NFL / NBA / MLB / NHL / NCAA / MLS / EPL / WNBA games, team schedules, polls, or rankings. ESPN sports CLI with live scores across 10 leagues, offline search, head-to-head comparisons, and rich per-game summary payloads. No API key required. Triggers on natural phrasings like 'what's the score of the Lakers game', 'Patriots schedule this week', 'NFL standings', 'box score for tonight's Mavs game', 'Chiefs vs Eagles head to head', 'who's on top of the AP poll'.
The movie CLI that combines TMDb's discovery engine with OMDb's multi-source ratings — and ships a SQLite watchlist that flags what's streaming on your services right now. Trigger phrases: `what should I watch tonight`, `where can I stream <title>`, `rate <title>`, `compare <title> and <title>`, `what's <person>'s filmography`, `plan a <franchise> marathon`, `use movie-goat`, `run movie-goat`.
Summarizes WeChat group chat highlights into a structured digest using the local wx-cli binary (https://github.com/jackwener/wx-cli). Generates a normal digest by default; a roast (毒舌) version is opt-in. Maintains per-group history (history.json + history-digests.jsonl) and per-user profiles across runs, with privacy guardrails baked in. Use when the user asks to "总结群聊", "群聊精华", "群聊摘要", "summarize group chat", "group chat digest", mentions a WeChat group name with a time range, says "帮我看看 XX 群最近聊了什么", "XX 群有什么值得看的", or asks to "回溯画像" / "初始化画像" / "backfill profiles". Adds the roast version when the user says "毒舌版", "roast 版", "再来个毒舌的", or similar.
Create and configure AI agents, upload files for RAG, manage MCP servers, and handle agent memories using the Cargo CLI. Use when the user wants to create or update agents, upload knowledge base files, connect MCP tool servers, or manage agent memories. For sending messages to agents, use the cargo-orchestration skill instead.
Per-client asset templates scoped by workspace.
Transform a Webwright "Crafted CLI" (the parameterized final_script.py produced by a `webwright craft` run) into a deployed, hosted Intuned project. Use when the user wants to port, convert, host, or deploy a Webwright craft/reusable CLI to the cloud — Intuned is the hosting target — or says "turn this craft into an Intuned project", "host this on Intuned", "host this webwright on the cloud", "deploy this craft to the cloud", "run this webwright in the cloud". Faithfully maps one parameterized craft function to one Intuned `automation` API, scaffolds the project, runs it locally, deploys it, and verifies a standalone platform run.