lark-im-ops 是做什么的？
通过机器人的 NyxID 代理 im/v1 API 发送、回复、回应、读取和查找 Lark 消息与聊天——主动发布消息到聊天或私聊、在主题中回复、添加或移除表情反应、读取单条消息或获取指定时间范围内的聊天历史、搜索或列出机器人所在的聊天，以及下载消息中的图片/文件。处理“内容必须是 JSON 字符串”的陷阱和 receive_id_type 的选择，并充当 im-scope 探测器——在遇到作用域 403 时，它会报告确切缺失的权限，而不是静默失败。
通过机器人的 NyxID 代理 im/v1 API 发送、回复、回应、读取和查找 Lark 消息与聊天，并处理“内容必须是 JSON 字符串”的陷阱以及 receive_id_type 的选择。
该技能使 AI 代理能够通过 Lark 的 im/v1 API 与飞书（Lark）消息和聊天进行交互，所有请求均由 NyxID 代理。它支持主动发送消息到聊天或私聊、在主题下回复、添加或移除表情反应、阅读单条消息或查询指定时间范围内的聊天历史、搜索或列出机器人所在的聊天列表，以及下载消息中的图片或文件。技能自动处理“内容必须是 JSON 字符串”的常见错误，并通过检查 receive_id_type 确保正确的接收者类型。当遇到作用域 403 错误时，它不会静默失败，而是报告确切缺失的权限，使得调试跨机器人消息工作流时更加可靠。该技能专为飞书（Lark）平台设计，适用于 Claude Code、Cursor 或 Codex 等 AI 代理工具。
npx skills add https://github.com/ChronoAIProject/nyx-skills/tree/main/lark-im-ops通过机器人的 NyxID 代理 im/v1 API 发送、回复、回应、读取和查找 Lark 消息与聊天——主动发布消息到聊天或私聊、在主题中回复、添加或移除表情反应、读取单条消息或获取指定时间范围内的聊天历史、搜索或列出机器人所在的聊天，以及下载消息中的图片/文件。处理“内容必须是 JSON 字符串”的陷阱和 receive_id_type 的选择，并充当 im-scope 探测器——在遇到作用域 403 时，它会报告确切缺失的权限，而不是静默失败。
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".