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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.

What is nyx-skills?

nyx-skills is a Claude Code agent skill that 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.

Works with~Claude Code~Codex CLI~Cursor
npx skills add https://github.com/ChronoAIProject/nyx-skills/tree/HEAD/chatgpt-image-short-video

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Documentation

ChatGPT Image Short Video

Use this method to turn a script or content plan into a vertical short video whose primary visual is generated in ChatGPT through an operator-provided fixed browser tab, then assembled locally with narration, burned subtitles, platform covers, and a manifest.

For the full production checklist, prompt pattern, timing rules, render rules, cover contract, and manifest schema, read references/workflow.md.

Core Workflow

  1. Confirm inputs: title, subtitle or hook, spoken script, visual style brief, target language, TTS voice/rate, output directory, and platform metadata.
  2. Use the fixed image-generation browser tab supplied by the operator. Do not open a fresh ChatGPT session unless the fixed tab is broken and the operator approves replacement.
  3. Generate one primary image or a small set of beat images using the per-beat prompt pattern in the reference.
  4. Save generated images as local source assets and record the prompt, browser-tab label, image index, timestamp, and any manual retries.
  5. Generate narration locally with TTS and save both media and subtitle sidecar when available.
  6. Measure true audio duration with ffprobe; derive frame count from audio duration, not expected script length.
  7. Align subtitles from TTS sidecar or a local speech-aligner, then split them into readable blocks.
  8. Render 1080x1920 frames with safe title/subtitle placement, light motion, and burned subtitles.
  9. Encode with ffmpeg, mux narration, create 4:3 and 3:4 covers, and write a manifest pointing to every final artifact.
  10. Validate that the video, covers, subtitles, and manifest are public-safe and contain no internal handles, local paths, credentials, browser slugs, or draft labels.

Non-Negotiables

  • Fixed-tab access is a private operator setting. Never include actual tab URLs, account names, access tokens, local workspace paths, or handles in reusable output.
  • The fixed tab exists for session continuity and image-tool consistency. It isolates image generation from unrelated conversations and reduces style drift across retries.
  • Keep the final video at 1080x1920, 24 or 30 fps, H.264, yuv420p, AAC audio, and +faststart unless the target platform requires another contract.
  • Burn subtitles into the video; do not rely only on external caption files for short-form previews.
  • Export both horizontal 4:3 and vertical 3:4 covers as separate files.
  • The manifest must use repo- or package-relative artifact paths when possible. Do not serialize machine-local private paths into a portable manifest.

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/lark-im-ops

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.

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/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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