Lark IM 메시지 및 채팅 전송, 답장, 반응, 읽기 및 검색 기능을 제공하는 AI 에이전트 스킬입니다. 봇의 NyxID 브로커 im/v1 API를 통해 메시지를 사전에 전송하고, 이모지 반응을 추가/제거하며, 채팅 기록을 조회하고 파일을 다운로드할 수 있습니다.
이 스킬은 AI 에이전트(Claude Code, Cursor 등)가 Lark(팀 협업 플랫폼)의 IM(인스턴트 메시징) 기능을 완전히 제어할 수 있게 해줍니다. 봇의 NyxID를 통해 인증된 im/v1 API를 사용하여 메시지 전송, 답장, 이모지 반응 추가/제거, 단일 메시지 읽기, 채팅방 기록 조회, 봇이 속한 채팅방 검색 및 목록 조회, 이미지/파일 다운로드 등 모든 IM 작업을 수행할 수 있습니다. 특히 'content must be a JSON string' 오류와 receive_id_type 선택 문제를 자동으로 처리하며, IM 범위 부족 시 정확한 누락 권한을 보고합니다. 이를 통해 개발자는 복잡한 API 세부 사항에 신경 쓰지 않고 Lark IM 워크플로우를 쉽게 자동화할 수 있습니다.
npx skills add https://github.com/ChronoAIProject/nyx-skills/tree/main/lark-im-ops봇의 NyxID 브로커 im/v1 API를 통해 Lark 메시지 및 채팅을 전송, 답장, 반응, 읽기 및 검색합니다 — 채팅 또는 DM에 사전 게시, 스레드 답장, 이모지 반응 추가 또는 제거, 단일 메시지 읽기 또는 시간 창 내 채팅 기록 가져오기, 봇이 속한 채팅방 검색 또는 목록 조회, 메시지에서 이미지/파일 다운로드를 수행합니다. 'content must be a JSON string' 푸트건과 receive_id_type 선택을 처리하며, IM 범위 프로브 역할도 겸합니다 — 범위 403 오류 시 자동으로 실패하지 않고 정확히 누락된 권한을 보고합니다.
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".