소액현금결재-페이로드-빌더은(는) 무엇을 하나요?
소액현금 결재 승인 프로세스를 처음부터 끝까지 직접 실행합니다 — Lark DM/시트/이미지 맥락을 수집하고, 영수증 세부 정보를 추출하며, 정확한 승인 본문을 작성한 후 Lark 승인 인스턴스를 제출합니다.
소액현금 결재 승인 프로세스를 처음부터 끝까지 직접 실행합니다 — Lark DM/시트/이미지 맥락을 수집하고, 영수증 세부 정보를 추출하며, 정확한 승인 본문을 작성한 후 Lark 승인 인스턴스를 제출합니다.
이 스킬은 소액현금 결재 승인 워크플로우를 자동화하여, 사용자가 Lark(飛書) 환경에서 영수증 정보를 수집하고 승인 요청을 생성하여 제출할 수 있도록 합니다. 사용자는 Lark DM(다이렉트 메시지), 시트, 이미지 등 다양한 출처에서 맥락을 수집할 수 있으며, 추출된 영수증 세부 정보를 바탕으로 정확한 결재 본문을 빌드합니다. 이 스킬은 개발자나 AI 에이전트 사용자가 수동 데이터 입력 없이 신속하게 승인 인스턴스를 제출할 수 있도록 지원하며, 주로 Lark의 승인 API와 통합됩니다. SKILL.md 문서에 따라, 이 스킬은 엔드-투-엔드 자동화를 제공하여 결재 과정의 시간을 단축하고 오류 가능성을 줄입니다. Lark 플랫폼에서 사용하도록 설계되었으며, 특정 승인 템플릿과 연동하여 동작합니다.
npx skills add https://github.com/ChronoAIProject/nyx-skills/tree/main/petty-cash-approval-payload-builder소액현금 결재 승인 프로세스를 처음부터 끝까지 직접 실행합니다 — Lark DM/시트/이미지 맥락을 수집하고, 영수증 세부 정보를 추출하며, 정확한 승인 본문을 작성한 후 Lark 승인 인스턴스를 제출합니다.
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.
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
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".