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Found 186 Skills
Use when handling files, images, attachments, or binary data in n8n, OR when an AI agent needs to take a user-uploaded file as tool input or return a generated file. For Data Tables (schemas, dedup, persistent state), see the separate n8n-data-tables-official skill. Triggers on "file", "image", "PDF", "attachment", "binary", "upload", "download", chat trigger with files, agent tool that needs a file, vision/multimodal, or any handling of non-JSON file data.
Interact with Microsoft Teams - send messages, read channels, manage reactions
Project scaffolding CLI with 30+ integrations, custom templates, and MCP server for AI agents.
Linear GraphQL patterns for Symphony agents. Use `linear_graphql` for all operations — comments, state transitions, PR attachments, file uploads, and issue creation. Never use schema introspection.
Reference for calling the Gemini CLI agent from other agents. ALWAYS read BEFORE invoking Gemini to ensure correct JSON protocol, session management, and subtask delegation patterns.
Slack automation CLI for AI agents. Use when: - Reading a Slack message or thread (given a URL or channel+ts) - Browsing recent channel messages / channel history - Getting all unread messages across channels - Searching Slack messages or files - Sending, editing, or deleting a message; adding/removing reactions - Listing channels/conversations; creating channels and inviting users - Fetching a Slack canvas as markdown - Looking up Slack users - Marking channels/DMs as read - Opening DM or group DM channels Triggers: "slack message", "slack thread", "slack URL", "slack link", "read slack", "reply on slack", "search slack", "channel history", "recent messages", "channel messages", "latest messages", "mark as read", "mark read", "unread messages", "unread", "what did I miss"
Real-time sports & events data for AI agents via Shipp. Use when the user wants live scores, schedules, or game events for NBA, NFL, NCAA Football, MLB, or Soccer — especially to power prediction market trading strategies on Polymarket or Kalshi using a MoonPay wallet.
Agent skill for matrix-optimizer - invoke with $agent-matrix-optimizer
This skill helps agents use Figma's use_figma MCP tool in the FigJam context. Can be used alongside figma-use which has foundational context for using the use_figma tool.
Interact with Channel Talk using extracted desktop app or browser credentials - read chats, send messages, search messages, manage groups
Hacker News from your terminal — with a local SQLite store, snapshot history, and agent-native output no other HN tool has. Trigger phrases: `check hacker news`, `search hn`, `what is hn saying about`, `diff the hn front page`, `pulse on hn`, `look up hn user`, `hn who is hiring`, `hn top stories`, `use hackernews`, `run hackernews`.
Conventional Commits 1.0.0 + 베스트 프랙티스 워크플로 (diff → staging → type 결정 → secrets blocklist → 사전 체크리스트) + 5 founding principle (atomic / leaves-repo-green / why-over-what / imperative / searchable) + project dialect scaffolding. 커밋을 4 reader (`git log` 스캐너 / `git blame` 추적자 / `git bisect` 사냥꾼 / AI agent — `/clear` 컨텍스트 복원 / PR 리뷰 / changelog 생성 / NL 질의)에게 동시에 도움되는 영구 history로 다룸. 본 파일은 한국어 prose 변형. 룰 자체 (영문 default body, lowercase summary, imperative mood, atomic / why-over-what 등 §0 전 원칙)는 영문 SKILL.md와 동일 — 변형 무관. ALWAYS trigger 조건은 영문 SKILL.md frontmatter §ALWAYS와 동일. Triggers (multi-lingual): EN: commit, git commit, stage, commit message, breaking change, conventional commits, revert, fixup, amend, cherry-pick, changelog KO: 커밋, 깃 커밋, 스테이지, 커밋 메시지, 커밋 룰, 컨벤셔널 커밋, 리버트, 되돌리기, 어맨드, 커밋 컨벤션, 커밋 메시지 검토 JA: コミット, git コミット, ステージ, コミットメッセージ, ブレーキング チェンジ, リバート, アメンド ZH: 提交, git 提交, 暂存, 提交信息, 提交消息, 重大变更, 回滚, 修订 Audience: 한국어를 모국어로 쓰는 개발자. §0 founding principle을 한국어로 먼저 잡고 싶은 사용자에게 적합. §1-§14 룰 자체는 영문 SKILL.md를 정본으로 참조 — 본 변형이 룰을 새로 정의하지 않음.