AI 代理用于操作 Ornn 的操作手册——Ornn 是模型无关的技能生命周期 API（一个类 npm 的注册表 + 用于代理技能的 CLI），通过 NyxID CLI (`nyxid proxy request ornn-api …`) 使用。每当用户要求对 Ornn 技能或技能集执行任何操作时，请加载并遵循此技能。
此技能为 AI 代理提供了完整的操作手册，以便通过 NyxID CLI 使用 Ornn 平台。Ornn 是一个模型无关的技能生命周期 API，包含类 npm 的注册表和 CLI，用于管理 AI 代理技能。该技能涵盖了广泛的技能管理操作，包括搜索、安装、运行、构建、发布、版本管理、安全审计、差异分析、使用分析、服务绑定、GitHub 同步、npm 式分发标签管理以及所有权转让。它还支持技能集的完整生命周期：管理技能集（多技能捆绑包，包含必需的主提示），发布、解析闭包、导出为 Claude Code 市场插件、转移所有权以及诊断可见性问题。此技能对于任何需要在 Ornn 生态系统内构建、分发或维护 AI 代理技能的开发人员或 AI 代理用户至关重要。它功能全面，涵盖从日常任务到高级治理和协作场景。
npx skills add https://github.com/ChronoAIProject/nyx-skills/tree/main/ornn-agent-manual-cliAI 代理用于操作 Ornn 的操作手册——Ornn 是模型无关的技能生命周期 API（一个类 npm 的注册表 + 用于代理技能的 CLI），通过 NyxID CLI (nyxid proxy request ornn-api …) 使用。每当用户要求对 Ornn 技能或技能集执行任何操作时，请加载并遵循此技能。 技能：搜索 Ornn 或查找技能，拉取或安装技能（或特定版本），运行技能，构建并上传技能，发布新版本，将技能设为公开/私有/共享，运行或阅读安全审计，弃用或删除版本，比较两个版本，检查使用分析，将技能绑定到 NyxID 服务，将技能链接到 GitHub 或从源同步，管理 npm 式分发标签，或转移技能所有权。技能集——包含必需主提示的精选多技能捆绑包：将技能捆绑成集，创建或发布技能集，通过一次调用解析其闭包，将技能集导出为 Claude Code 市场插件，转移技能集所有权，或诊断共享技能集不可见的原因（可见性衍生自...)```
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.
Send, reply to, react to, read, and find Lark messages and chats through the bot's NyxID-brokered im/v1 APIs — proactively post to a chat or DM, thread-reply, add or remove emoji reactions, read a single message or pull a chat's history over a time window, search or list the chats the bot is in, and download an image/file from a message. Handles the "content must be a JSON string" footgun and receive_id_type selection, and doubles as the im-scope probe — on a scope 403 it reports the exact missing permission instead of failing silently.
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.
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.
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".