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ChronoAIProject/lark-im-ops

Senden, Beantworten, Reagieren, Lesen und Suchen von Lark-Nachrichten und -Chats über die NyxID-vermittelten im/v1-APIs des Bots.

Was ist lark-im-ops?

Diese Fähigkeit ermöglicht es KI-Agenten, vollständig mit der Lark-Plattform (früher Feishu) zu interagieren, indem sie die im/v1-APIs des Bots über eine NyxID-Vermittlung nutzen. Sie unterstützt das proaktive Senden von Nachrichten an Chats oder Direktnachrichten (DMs), das Antworten in Threads, das Hinzufügen und Entfernen von Emoji-Reaktionen, das Lesen einzelner Nachrichten und das Abrufen des Chat-Verlaufs innerhalb eines bestimmten Zeitfensters. Zudem können Chats, in denen der Bot Mitglied ist, durchsucht oder aufgelistet sowie Bilder und Dateien aus Nachrichten heruntergeladen werden. Ein besonderer Fokus liegt auf der korrekten Handhabung der häufigen Fehlerquelle, dass der Inhalt als JSON-String übergeben werden muss, sowie der korrekten Auswahl des `receive_id_type`. Darüber hinaus fungiert die Fähigkeit als IM-Scope-Prüfer: Bei einem Scope-403-Fehler wird die genaue fehlende Berechtigung gemeldet, anstatt stillschweigend zu scheitern. Dies macht sie zu einem zuverlässigen Werkzeug für Entwickler, die Lark-Integrationen in KI-gesteuerten Workflows oder ChatOps-Szenarien einsetzen.

Funktioniert mit~Claude Code~Codex CLI~Cursor
npx skills add https://github.com/ChronoAIProject/nyx-skills/tree/main/lark-im-ops
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In Ihrer bevorzugten KI fragen

Öffnet einen neuen Chat, in dem dieser Agent-Skill bereits geladen ist.

OpenAIChatGPTClaudeClaudeGeminiGeminiGrokGrokPerplexityPerplexityDeepSeekDeepSeek

Dokumentation

Was macht lark-im-ops?

Sende, beantworte, reagiere auf, lese und finde Lark-Nachrichten und -Chats über die NyxID-vermittelten im/v1-APIs des Bots — proaktiv in einem Chat oder DM posten, in einem Thread antworten, Emoji-Reaktionen hinzufügen oder entfernen, eine einzelne Nachricht lesen oder den Verlauf eines Chats innerhalb eines Zeitfensters abrufen, suche oder liste die Chats auf, in denen der Bot Mitglied ist, und lade ein Bild/eine Datei aus einer Nachricht herunter. Behandelt die typische Fehlerquelle, dass der Inhalt ein JSON-String sein muss, sowie die Auswahl des receive_id_type, und fungiert gleichzeitig als IM-Scope-Prüfer — bei einem Scope-403-Fehler wird die genaue fehlende Berechtigung gemeldet, anstatt stillschweigend zu scheitern.

Individual skills in this repo

This repo contains 9 individual skills — each has its own dedicated page.

ChronoAIProject/aevatar-attachment-probe

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.

ChronoAIProject/aevatar-vision-probe

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).

ChronoAIProject/codex-formal-answer

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.

ChronoAIProject/nyx-skills

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.

ChronoAIProject/nyx-skills

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.

ChronoAIProject/ornn-agent-manual-cli

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

ChronoAIProject/petty-cash-approval-payload-builder

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.

ChronoAIProject/public-copy-release-guard

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.

ChronoAIProject/research-claim-fidelity-reviewer

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.

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