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Meta Short Drama

OrganizationPopular
TokenRhythm
meta-short-drama

Create a complete AI short-drama package from a topic: shot script, review/approval pause, consistent images and clips, titles, subtitles, and final delivery. Do not use for isolated script or image requests, slides, document analysis, or historical examples.

Overview

PublisherTokenRhythm
Repositoryopensquilla
Skill namemeta-short-drama
Stars
7K
Forks
566
Bundled files
Instructions only
LicenseApache-2.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by TokenRhythm on GitHub. Read the source before you install it.

Installation

Install the Meta Short Drama AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/TokenRhythm/opensquilla.git /tmp/opensquilla
mkdir -p .claude/skills
cp -r /tmp/opensquilla/src/opensquilla/skills/bundled/meta-short-drama .claude/skills/meta-short-drama
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Meta Short Drama in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Meta Short Drama on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Meta Short Drama is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

meta-short-drama

End-to-end short-drama generator with an explicit-consent review flow before any paid external-media step. 1-10 shots (default 5), title card + ending card, in-language burned subtitles, and the generated script is saved to disk regardless of outcome. A direct approval continues immediately; an edit only produces a revised preview and requires a second explicit approval.

What it does

  1. intake_extract scans the user message for RENDER_STYLE, IDENTITY_ANCHOR, and N_SHOTS (1-10). Fills in defaults when missing.
  2. script_draft calls ai-video-script with the inferred values pasted verbatim into every shot prompt.
  3. review_gate — free-form draft review. The user can approve, request changes to render style / character / shot count / shot details, or cancel in plain language.
  4. review_intent is local and deterministic. Explicit approval may proceed, while a recognizable adjustment emits DECISION: revise; the adjustment never authorizes an external call.
  5. script_revised (conditional) applies requested overrides, then revision_confirm_gate shows the revised preview and requires a new explicit approval. review_normalize is the final paid-media consent authority; cancel, missing, ambiguous, off-topic, and further-edit replies fail closed without provider calls.
  6. final_script freezes the canonical scheduler snapshot in memory; it never re-reads the user-editable artifact.
  7. script_save writes that same canonical content to script.txt in the run folder (always — even on cancel, so the user keeps the draft).
  8. title_extract / subtitle_extract / ending_text_extract pull cover/ending text in the script's language.
  9. cover_image + cover_video — Pillow title card + 2s Ken-Burns clip (0_cover.mp4 — sorts first in merge).
  10. Per-shot extracts × 10 — all slots are declared, but an exact === SHOT_N === header check deterministically skips absent script blocks before calling the LLM. Active extracts still use __SHOT_ABSENT__ as a second fail-closed guard, and paid image/video steps repeat the exact-header check so an LLM cannot activate an unused slot.
  11. Image generation per active shotnano-banana-pro, at most one paid submit, followed by a local placeholder PNG on a verified policy refusal (the image step never aborts the DAG). Provider responses and ambiguous transport outcomes never trigger an automatic second paid request.
  12. reference_prompt_extract + reference_image — one extra nano-banana-pro call produces reference.png, a full-cast neutral lineup of every named character on a neutral backdrop. Used as the universal IDENTITY anchor for every shot's seedance call so the character does not drift across cuts (nano-banana would otherwise re-roll subtly different character designs per shot).
  13. Video generation per active shotseedance-2.0; paid submit failures are never retried automatically because an ambiguous response may already represent a billed job. After a job id is issued, transient polling failures may retry that same job up to the configured limit. Any provider-policy refusals stop immediately without another paid submission. The Ken-Burns substitute then fires using the shot's PNG. Each shot passes TWO reference images to seedance, AND the per-shot prompt is wrapped with an explicit "Assets Mapping" preamble in the upstream JiMeng convention so seedance knows the role of each reference: reference[1] = reference.png (full-cast fictional design anchor — preserves silhouette / hairstyle / costumes / accessories without reproducing real-person likeness) reference[2] = N_shot.png (this shot's scene composition reference — used for camera angle, framing, blocking, prop placement, background layout) The Assets Mapping preamble is in English even when the per-shot directive is Chinese — seedance parses English instruction prefixes reliably regardless of the user-content language. Empty / missing references are still filtered before the API call (so direct CLI callers using a single anchor remain backwards-compatible).
  14. ending_image + ending_video — Pillow "完" / "THE END" card
    • 2s Ken-Burns clip (99_ending.mp4 — sorts last).
  15. mergevideo-merger stitches 0_cover + active shots
    • 99_ending via numeric-prefix sort. ffmpeg cross-fade transitions.
  16. subtitles_srt — SRT cues from VOICEOVER per shot, shifted by the 2-second cover duration so cue timing matches the merged timeline.
  17. subtitled_finalsubtitle-burner burns the SRT into final_subtitled.mp4.
  18. publish_final_video + publish_script — register the final MP4 (video/mp4) and script (text/plain) with the active surface so browser users receive artifact controls instead of only a local path. The script is published even when the user cancels; the video is published only after a successful proceed path.
  19. delivery_audit — deterministic receipt/fallback/ffprobe gate. It combines validated receipts with the scheduler's bounded, parent-owned paid-submission dispositions (safe_no_submit, maybe_accepted, or receipt; only a conclusive receipt becomes confirmed). It is the sole authority for API provenance and reports both story content duration and the probed final duration (content + 4s bookends). A fallback after a proven pre-submit failure does not trigger a billing warning; ambiguous submission outcomes still emit only a sanitized asset list and check-history warning.
  20. deliver — always runs, branches on DECISION, and waits for the deterministic audit before composing delivery. It only restates the machine-owned verdict and cannot promote fallback media to a verified real-API result.

Outputs

<workspace>/meta_short_drama/<meta_run_id>/
    script.txt              # full final script (always; published artifact)
    reference.png           # full-cast identity reference (used by every shot_video)
    0_cover.png  0_cover.mp4
    1_shot.png   1_shot.mp4   ┐
    2_shot.png   2_shot.mp4   ├ only for active shots (1..N_SHOTS)
    ...                       ┘
    *.png.receipt.json       # image provider/request or placeholder status
    *.mp4.receipt.json       # video provider/model/job status
    99_ending.png 99_ending.mp4
    subs.srt
    final.mp4               # merged, no subtitles
    final_subtitled.mp4     # subtitled — published video deliverable

Dependencies

SkillPurposeModels / Tools
ai-video-scriptStructured shot list (1-10 shots)LLM
short-drama-review-normalizerLocal fail-closed review/consent decisionPython stdlib
nano-banana-proPer-shot first-frame PNGOpenRouter Gemini 3.1 / 3 pro
seedance-2-promptPer-shot MP4OpenRouter Seedance 2.0 (or Volcengine ARK)
video-still-animatorKen-Burns fallback / cover & ending clipsffmpeg ≥ 5.0
video-mergerStitch cover + shots + endingffmpeg ≥ 5.0
srt-from-scriptVOICEOVER → SRT with cover offsetPython stdlib
subtitle-burnerBurn SRT into MP4ffmpeg + libass
title-card-imagePillow cover + ending PNG cardsPillow
(builtin) write_fileSave script.txt (no skill needed)OpenSquilla builtin
text-file-readRe-read script.txt after review pausePython stdlib

Environment:

  • OPENROUTER_API_KEY must be set.
  • ffmpeg and ffprobe on PATH.
  • Pillow installed (already in opensquilla deps).

Risk

high — writes files, spends real OpenRouter credits, runs ffmpeg subprocesses. The review gate plus deterministic normalizer ensures explicit approval or a meaningful requested adjustment before any external media step.

Limits (v2)

  • 1-10 shots; default 5. The DAG always declares 10 slots but __SHOT_ABSENT__ gating keeps unused slots dormant.
  • Per-shot duration follows the script's DURATION_S (clamped 3-15s by seedance API). OVERVIEW.DURATION_S means story-shot content duration; the final MP4 adds a fixed 2s title + 2s ending (content + 4s).
  • 9:16 portrait.
  • Per-shot seedance failures fall back to Ken-Burns. Image step has its own placeholder fallback. Both are explicitly reported as degraded and cannot satisfy the verified-real-API E2E status. Prompt-extract llm_chats still abort the run if they return malformed output.
  • Every run uses its runtime-owned meta_run_id subdirectory, so concurrent runs and post-review additional_notes cannot redirect or collide outputs.

When NOT to use

  • Single image / single clip / script-only / stitch-only — use the underlying skills directly.

Frequently asked questions

What does the Meta Short Drama AI skill do?

Create a complete AI short-drama package from a topic: shot script, review/approval pause, consistent images and clips, titles, subtitles, and final delivery. Do not use for isolated script or image requests, slides, document analysis, or historical examples.

Why use Meta Short Drama on TypingMind?

Because you install it once and use it with any model. Meta Short Drama is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Meta Short Drama in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/TokenRhythm/opensquilla/tree/main/src/opensquilla/skills/bundled/meta-short-drama. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Meta Short Drama?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Meta Short Drama?

As many as you like. As long as a model supports skills, you can use Meta Short Drama with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Meta Short Drama AI skill free?

Yes. It is published on GitHub by TokenRhythm under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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