lark-im-ops 是做什麼的？
透過機器人的 NyxID 中介 im/v1 API 發送、回覆、回應、讀取及搜尋 Lark 訊息與聊天室 — 可主動發送至聊天室或私訊、回覆討論串、新增或移除表情符號反應、讀取單一訊息或拉取一段時間內的聊天記錄、搜尋或列出機器人所屬的聊天室，以及下載訊息中的圖片或檔案。處理「內容必須為 JSON 字串」的陷阱與 receive_id_type 的選擇，同時兼具 im 範圍探查功能 — 當遇到 403 範圍錯誤時，會回報確切缺少的權限而非靜默失敗。
透過機器人的 NyxID 中介 im/v1 API 發送、回覆、回應、讀取及搜尋 Lark 訊息與聊天室 — 可主動發送至聊天室或私訊、回覆討論串、新增或移除表情符號反應、讀取單一訊息或拉取一段時間內的聊天記錄、搜尋或列出機器人所屬的聊天室，以及下載訊息中的圖片或檔案。處理「內容必須為 JSON 字串」的陷阱與 receive_id_type 的選擇，同時兼具 im 範圍探查功能 — 當遇到 403 範圍錯誤時，會回報確切缺少的權限而非靜默失敗。
這個技能（skill）提供了一套完整的 Lark 即時通訊操作介面，讓 AI 代理人能夠透過機器人的 NyxID 中介 API 與 Lark 互動。它支援的動作包括：主動發送訊息到聊天室或私訊、回覆討論串中的訊息、對訊息新增或移除表情符號反應、讀取單一訊息、拉取指定時間範圍內的聊天記錄、搜尋或列出機器人所在的聊天室，以及從訊息中下載圖片或檔案。此技能自動處理了 API 使用時常見的陷阱，例如將內容格式化為 JSON 字串以及選擇正確的 receive_id_type。此外，它還內建了權限探查功能，當遇到 403 範圍（scope）錯誤時，不會單純回傳錯誤，而是會明確指出缺少哪個特定權限，大幅提升除錯效率。此技能特別適合需要與 Lark 協作平台深度整合的 AI 代理人應用。
npx skills add https://github.com/ChronoAIProject/nyx-skills/tree/main/lark-im-ops透過機器人的 NyxID 中介 im/v1 API 發送、回覆、回應、讀取及搜尋 Lark 訊息與聊天室 — 可主動發送至聊天室或私訊、回覆討論串、新增或移除表情符號反應、讀取單一訊息或拉取一段時間內的聊天記錄、搜尋或列出機器人所屬的聊天室，以及下載訊息中的圖片或檔案。處理「內容必須為 JSON 字串」的陷阱與 receive_id_type 的選擇，同時兼具 im 範圍探查功能 — 當遇到 403 範圍錯誤時，會回報確切缺少的權限而非靜默失敗。
This repo contains 9 individual skills — each has its own dedicated page.
Boundary test for inbound Lark attachments — the user sends an image or file alongside this command and the bot reports exactly what it can observe on the chat path (text only, attachment refs, or nothing), without guessing. Detects when the platform wires chat-path attachment visibility so dependent skills can be upgraded.
Verify the read-image (vision) path end to end — the user sends an image plus the trigger, a workflow vision step describes it, and the run output proves the model actually saw the image (a real description, not "no image received"). Run it before any image-dependent workflow (petty-cash receipt, invoice OCR).
Use when answering mathematical, conceptual, philosophical, or metaphysical questions through repository-first scientific reasoning, a clause-complete formal bridge, retained exact Lean specializations, reusable library growth, and an ordinary conversational answer; the formal work stays internal and is shown only when the user asks for it.
Verify-first promotion intelligence for ANY repo or org. Pulls live GitHub state, runs sshx multi-perspective consensus over it, and returns an evidence-backed board of what is genuinely promotable, how items connect, and what is unverifiable. Use when an agent or operator asks "what's worth promoting / what connects / what's real" for a target repo or org.
Method for producing short vertical videos from ChatGPT image generation through a fixed browser tab, local TTS narration, timed subtitle burn-in, cover exports, and a manifest. Use when an operator needs a reproducible image-to-short workflow with pinned session consistency, per-beat visual prompts, 1080x1920 safe-area rules, local ffmpeg/PIL assembly, and private access kept outside the skill.
The manual an AI agent loads to operate Ornn — the model-agnostic skill-lifecycle API (an npm-style registry + CLI for agent skills) — via the NyxID CLI (`nyxid proxy request ornn-api …`). Load and follow this skill WHENEVER the user asks to do anything with Ornn skills or skillsets. Skills: search Ornn or find a skill, pull or install a skill (or a specific version), run a skill, build and upload a skill, publish a new version, make a skill public / private / shared, run or read a security audit, deprecate or delete a version, diff two versions, check usage analytics, bind a skill to a NyxID service, link a skill to GitHub or sync from source, manage npm-style dist-tags, or transfer skill ownership. Skillsets — curated multi-skill bundles with a required master prompt: bundle skills into a set, create or publish a skillset, resolve its closure in one call, export a skillset as a Claude Code marketplace plugin, transfer skillset ownership, or diagnose why a shared skillset isn't visible (visibility derives fr
Runs the petty-cash approval flow end to end yourself — collect Lark DM/sheet/image context, extract receipt details, build the exact approval body, then SUBMIT the Lark approval instance.
Portable checklist for gating public-facing copy before release. Use when captions, posts, manifests, topics, titles, or launch copy must be checked for generic AI wording, leaked internal labels, forbidden experiment or tool names, platform topic allowlists, CTA spam, and unsupported overclaims.
Severity-weighted BLOCK, WARN, OK reviewer method for technical and research posts. Use when reviewing X threads, announcements, captions, or launch copy for hook strength, thread arc, generic AI vocabulary, source fidelity, claim support, numeric-claim verification, and thread format before recommending publish.
ElevenLabs text-to-speech with mac-style say UX.
Oracle CLI second-model review/debug/refactor/design with selected files, dry-run token checks, API or browser engine.
Capture and automate macOS UI with the Peekaboo CLI.
Generate multiple radically different interface designs for a module using parallel sub-agents. Use when user wants to design an API, explore interface options, compare module shapes, or mentions "design it twice".
Build a throwaway prototype to flesh out a design — a runnable terminal app for state/business-logic questions, or several radically different UI variations toggleable from one route.
Interview the user relentlessly about a plan or design until reaching shared understanding, resolving each branch of the decision tree. Use when user wants to stress-test a plan, get grilled on their design, or mentions "grill me".