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Send images as native Feishu stickers. Features auto-upload, caching, and GIF-to-WebP conversion.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
SOC 직업 분류 기준
Shared Feishu (Lark) authentication and API request helper providing tenant token acquisition with caching, automatic retry with timeout handling, and authenticated request wrappers with token refresh.
Send multiple Feishu (Lark) messages in a single tool call with configurable delay, supporting plain text arrays and mixed content types (text and rich post).
Manage Feishu (Lark) calendars including listing, searching, syncing events, creating calendar entries from task requests, and setting up shared project calendars.
Send rich interactive cards to Feishu (Lark) users or groups with Markdown support, colored headers, action buttons, embedded images, and AI persona styling.
Unified CLI for Feishu (Lark) messaging operations including fetching messages by ID, sending audio voice bubbles, creating group chats, listing pinned messages, and adding emoji reactions.
Feishu native emoji mapping -- emoji_type codes, Chinese names, and Unicode conversion table for card markdown.
| name | feishu-sticker |
| description | Send images as native Feishu stickers. Features auto-upload, caching, and GIF-to-WebP conversion. |
| tags | ["feishu","lark","sticker","image","fun"] |
Sends a sticker (image) to a Feishu user or group.
Automatically uploads the image to Feishu (caching the image_key via MD5), converts GIFs to WebP for efficiency, and supports smart search.
image_key by file hash to avoid re-uploading.ffmpeg-static) and compresses large images (>5MB).--query or --emotion.# Send random sticker
node skills/feishu-sticker/send.js --target "ou_..."
# Send specific file
node skills/feishu-sticker/send.js --target "ou_..." --file "/path/to/image.jpg"
# Search and send
node skills/feishu-sticker/send.js --target "ou_..." --query "angry cat"
node skills/feishu-sticker/send.js --target "ou_..." --emotion "happy"
~/.openclaw/media/stickers/ (or set STICKER_DIR).npm install (requires axios, commander, ffmpeg-static, form-data, dotenv).