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Use when securing FastAPI API endpoints with JWT Bearer token validation, scope/permission checks, or stateless auth - integrates auth0-fastapi-api for REST APIs receiving access tokens from SPAs, mobile apps, or other clients. Also handles DPoP proof-of-possession token binding. Triggers on: Auth0FastAPI, FastAPI API auth, JWT validation, require_auth, DPoP.
Install, configure, and start FireRed-OpenStoryline from source on a local machine. Use when a user asks to set up OpenStoryline, troubleshoot installation, download required resources, fill config.toml API keys, or launch the MCP and web services, as well as Chinese requests like “安装 OpenStoryline”, “配置 OpenStoryline”, “启动 OpenStoryline”, “把 OpenStoryline 跑起来”, “修复 OpenStoryline 安装问题”, or “排查 OpenStoryline 启动失败”.
When you need to control macOS desktop apps (Atlas, Chrome, Finder) → automate via AppleScript.
WhatsApp Web automation via Playwright and Chrome CDP. Use when the user needs to open WhatsApp Web, launch the WhatsApp Web browser, verify phone numbers on WhatsApp, send WhatsApp messages, read recent chat messages or chat history, read the last reply from a contact, list chats in the sidebar, count chats, count pinned chats, list unread chats, count unread messages, check if a number is registered on WhatsApp, add a new WhatsApp contact, save a number to contacts, automate WhatsApp Web login, or perform bulk number verification. Triggers include requests to "open WhatsApp Web", "buka WhatsApp Web", "launch WhatsApp", "check this number on WhatsApp", "send a WhatsApp message", "verify WhatsApp numbers", "read WhatsApp messages", "list WhatsApp messages", "show recent WhatsApp chat", "ambil pesan WhatsApp", "open WhatsApp chat", "batch check numbers", "list my WhatsApp chats", "ada berapa chat", "berapa pinned chat", "show pinned chats", "ada berapa chat yang belum dibaca", "unread chats", "pesan yang belum dibaca", "how many unread messages", "X bales apa", "apa chat terakhir X", "chat terakhir dari X", "last reply from X", "what did X say", "what did X reply", "add to contacts", "save contact", "add new contact", "simpan kontak", "tambah kontak", "save this number", "pin chat", "unpin chat", "pin this chat", "sematkan chat", "lepas sematan", "pin X", "unpin X", "create group", "new group", "buat grup", "bikin grup baru", "make a whatsapp group", "delete group", "hapus grup", "bubarkan grup", "kick all members", "keluar dan hapus grup", "teardown group", "exit group", "leave group", "keluar grup", "keluar dari grup", "delete chat", "hapus chat", "clear chat", "remove this chat", or any task requiring programmatic WhatsApp Web interaction. For any "open/launch/buka WhatsApp Web" request, run `scripts/login.py` WITHOUT `--wait` — the script exits immediately after opening the window so the agent stays responsive. Never use `--wait` unless the user explicitly asks the agent to wait for them to sign in. For reading messages, run `scripts/read_messages.py --from <name>`. For the last reply from a contact (prompts like "X bales apa"), run `scripts/last_reply.py --from <name>`; add `--any-direction` if the user wants the very last message regardless of who sent it (prompts like "apa chat terakhir X"). For listing chats, run `scripts/list_chats.py`. For pinned chats, run `scripts/list_pinned.py`. For unread chats, run `scripts/list_unread.py`. For adding a contact (prompts like "add this number to contacts", "simpan jadi kontak"), ALWAYS ask the user for First Name, Last Name (optional), and whether to sync the contact to the phone before running `scripts/add_contact.py --phone <number> --first-name <first> [--last-name <last>] [--sync]`. For pinning or unpinning a chat (prompts like "pin chat Ezra", "sematkan chat X", "unpin X"), run `scripts/pin_chat.py --to <name-or-number>` or add `--unpin` to unpin. WhatsApp Web allows at most 3 pinned chats — if the pin action becomes a no-op with `already=true`, tell the user the chat is already pinned; if pinning fails due to the 3-pin cap, tell the user they need to unpin something first. For exiting a group without deleting it from the chat list (prompts like "keluar grup X", "leave group X"), ALWAYS ask the user to confirm first ("Keluar dari grup X? Grup tetap ada di chat list sampai kamu hapus manual."), then run `scripts/exit_group.py --name <group-name> --confirm`. For deleting a chat from the sidebar (prompts like "hapus chat Ezra", "delete chat X", "clear chat"), ALWAYS ask the user to confirm first ("Hapus chat X dari sidebar? Ga bisa di-undo."), then run `scripts/delete_chat.py --to <name-or-number> --confirm`. For active groups you want fully gone, prefer `scripts/delete_group.py` (kick-all + exit + delete) over calling exit + delete-chat separately. For deleting a group (prompts like "hapus grup X", "bubarkan grup"), ALWAYS ask the user to confirm first ("This will kick every member, exit the group, and remove it from your chat list. Lanjut?"). Only after the user confirms, run `scripts/delete_group.py --name <group-name> --confirm`. The script refuses to run without `--confirm`. After it returns, report the `status` field back — "deleted" = fully gone; "exited" = you're out but delete didn't finalize; "partial" = something failed mid-way. Also surface the `skipped` list so the user knows which members couldn't be kicked (usually because the caller isn't admin). For creating a new group (prompts like "buat grup baru", "create a group"), ALWAYS ask the user for the group name AND the members. Members can be many — accept comma-separated input and ask again (repeatably) if the user has more to add, stopping when they signal done. Then run `scripts/create_group.py --name <name> --members <a,b,c> [--members ...]`. After the script returns, check the `failed` array — if any member failed to match a contact, tell the user which ones so they can add them manually later. Always keep responses to the user friendly and non-technical (say "Opening WhatsApp Web..." instead of "Starting Chrome with CDP").
LinkFox 包装的领星（Lingxing）ERP 技能「linkfox-lingxing-erp」：由 LinkFox Skills 仓库收录分发，封装领星官方 OpenAPI 文档与脚本用法，底层仍直连 openapi.lingxing.com（非 LinkFox 自建网关）。覆盖约 373 个接口场景，含广告报表 SP/SB/SD、订单与 Listing、库存仓库、财务与 FBA、源表、采购、客服、多平台广告与订单等。当用户提到领星、Lingxing、领星开放接口、领星 ERP 数据、领星广告报表、领星订单/库存/利润、领星 SID、Lingxing OpenAPI、Lingxing ERP data、LinkFox 领星、linkfox-lingxing-erp 时触发。分模块参数见 references/api.md 及各 references/*.md；需 LINGXING_APP_ID 与 LINGXING_APP_SECRET。
Automate desktop GUI workflows via Claude computer use API with screenshot capture and mouse/keyboard control.
Detects documentation drift against code changes, scores staleness on a weighted 0-100 scale, validates API docs via AST parsing, and audits link integrity. Use when documentation falls out of sync with code, preparing releases, running CI doc gates, or auditing README/API doc accuracy.
Spatial data gridding and interpolation with a machine-learning style API. Process geographic and Cartesian point data onto regular grids. Use when Claude needs to: (1) Grid scattered spatial data onto regular grids, (2) Interpolate point data using splines, linear, or cubic methods, (3) Process geographic coordinates with projections, (4) Reduce large datasets using block averaging, (5) Remove polynomial trends from spatial data, (6) Cross-validate gridding parameters, (7) Create processing pipelines with Chain, (8) Grid vector data like GPS velocities.
GSLIB-inspired geostatistics library for variogram analysis, kriging, and simulation. Use when Claude needs to: (1) Calculate experimental variograms, (2) Fit variogram models, (3) Perform simple/ordinary kriging, (4) Run sequential Gaussian simulation (SGSIM), (5) Apply normal score transforms, (6) Decluster spatial data, (7) Generate multiple realizations for uncertainty.
Send emails via SMTP (Gmail, Outlook, etc.). Supports attachments, HTML content, and multiple recipients. Use when user asks to send email, compose email, or email someone.
Used when developing BSP drivers for external devices (sensors, memory, displays, etc.). Provides open-source driver search strategies, quality assessment, code adaptation tools, and key points for common device adaptation.
Build autonomous self-evolving AI agents with vision-grounded memory that operate computers through a perceive-reason-act cycle