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Found 339 Skills
Queries Huawei Cloud computing resources (ECS/BMS/IMS/AS), Covers ECS instances, flavors, keypairs, quotas, server groups, block devices, NICs, VNC console, BMS bare metal servers/flavors/quotas, IMS images/OS versions/members/quotas, and AS scaling groups/configs/policies/activity logs/lifecycle hooks/warm pools/quotas. No write operations. Use this skill when the user needs to query ECS instance details, list flavors, check BMS availability, browse images, or view auto-scaling group/policy status. Triggers: 弹性云服务器, ECS, 裸金属, BMS, 镜像, IMS, 弹性伸缩, AS, 伸缩组, 伸缩策略, 规格查询, flavor, instance, image, scaling.
Out-of-the-box Seedance 2.0 API skill — just one API key to generate AI videos. Builds storyboards, generates reference images with Seedream 4.5, submits video tasks, and polls results. Supports both MCP and standalone Python script mode. Use when the user mentions seedance, AI video, storyboard, or video generation.
Detects market top probability using O'Neil Distribution Days, Minervini Leading Stock Deterioration, and Monty Defensive Sector Rotation. Generates a 0-100 composite score with risk zone classification. Use when user asks about market top risk, distribution days, defensive rotation, leadership breakdown, or whether to reduce equity exposure. Focuses on 2-8 week tactical timing signals for 10-20% corrections.
Create and assign PBR materials in Blender via Principled BSDF — metals, glass, plastic, fabric, skin, organics. Covers physically-based material recipes with real-world values, Coat layer (varnish/car paint), Sheen (cloth), Subsurface scattering (skin/wax), Transmission (glass), and procedural patterns (wood grain, marble, fabric weave). Use whenever the user asks to "make it look like X material", "give it a metallic finish", "apply a wood texture", "make this glass / plastic / brushed steel / leather / skin", or any look-development request. Make sure to use this skill even if the user does not say "material" — also covers "make it shiny", "matte finish", "looks like copper", "rough surface". Works with any geometry; pairs with blender-lighting (materials only look right under proper lighting).
Search and assist Korean 시외버스/Tmoney bookings using official HTTP/API-first flows; use for 시외버스 예매, 시간표, 좌석/요금 조회, and official checkout-entry handoff.
Analyze binaries using the Domain API for IDA Pro. Use when examining program structure, functions, disassembly, cross-references, or strings.
Deterministic feedback processor. Fetches client feedback emails from Gmail, downloads attachments (screenshots), and prepares a structured report for triaging into GitHub issues.
조달청 나라장터 부정당제재업체정보를 공공데이터포털 API(k-skill-proxy 경유)로 조회한다. 사업자등록번호 정확 일치로 조회시점 현재 유효한 입찰참가자격 제한(부정당제재)의 기간·제재기관·근거법률을 확인한다.
Create visualize finance logic diagrams (e.g., Draw.io XML) to explain complex finance transmission chains or finance logic flows.
식약처 공공 OpenAPI를 k-skill-proxy 경유로 조회하기 전에 증상·복용상황을 반드시 되묻는 인터뷰형 의약품 안전 체크 스킬.
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").
Use when a Head of Ops, Knowledge Manager, or TPM-Internal needs to author, validate, or clean up company SOPs and internal runbooks (procurement intake, vendor offboarding, incident-comms cascade, employee onboarding, expense reimbursement, system-access provisioning, customer-escalation playbook) — including 5W2H completeness checks (Who-What-When-Where-Why-How-HowMuch), cross-link and orphan-page validation across a sprawling Notion/Confluence/Obsidian wiki, KB ingestion + hygiene reporting, ops onboarding doc generation, and runbook step verification (named owner, expected duration, observable success signal, rollback path, escalation contact). Pairs Kaoru Ishikawa's 5W2H method, Atul Gawande's *The Checklist Manifesto*, ISO 9001, ITIL v4 Service Operation, FDA 21 CFR Part 211, and Google SRE Workbook runbook discipline with deterministic stdlib-only Python tools that score completeness, detect anti-patterns, and emit prioritized cleanup lists. Distinct from `engineering/llm-wiki` (Karpathy-style personal PKM second brain), `engineering-team/runbook-generator` (system-ops production debugging runbook), `project-management/*` (Jira/Confluence delivery + ticket tracking), and sibling `business-operations/process-mapper` (BPMN process *design*, while knowledge-ops is process *documentation*).