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Hyperframes Media

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calesthio
hyperframes-media

Audio and media assets for HyperFrames compositions, produced by one shared audio engine (`scripts/audio.mjs`) — multi-provider TTS (HeyGen / ElevenLabs / Kokoro local), background music + sound effects (HeyGen audio-library retrieval by default, with local Lyria / MusicGen BGM generation and a bundled SFX library as the no-credential fallback), Whisper transcription, background removal, and caption authoring. Use for voiceover / TTS, BGM, SFX / sound effects, transcription, captions / subtitles / lyrics / karaoke / per-word styling, voice + provider selection, and music-mood prompting.

Overview

Publishercalesthio
RepositoryOpenMontage
Skill namehyperframes-media
Stars
67K
Forks
8.5K
Bundled files
39
LicenseAGPL-3.0
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.

  • 39 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

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

Installation

Install the Hyperframes Media 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.
    https://github.com/calesthio/OpenMontage/tree/main/.agents/skills/hyperframes-media
  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/calesthio/OpenMontage.git /tmp/OpenMontage
mkdir -p .claude/skills
cp -r /tmp/OpenMontage/.agents/skills/hyperframes-media .claude/skills/hyperframes-media
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Hyperframes Media 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 Hyperframes Media 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 Hyperframes Media 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.

HyperFrames Media

Create the audio and media assets a composition needs — voiceover (TTS), background music + sound effects, transcription, captions, background removal — then consume and animate that data in HTML. For placing assets into compositions, see hyperframes-core.

The audio engine — one source for TTS · BGM · SFX

Workflows do NOT hand-roll audio or vendor a copy. There is one engine — scripts/audio.mjs — that takes a neutral audio_request.json and writes audio_meta.json (plus assets under assets/voice|bgm|sfx):

bash
# <MEDIA_DIR> = this skill's directory
node <MEDIA_DIR>/scripts/audio.mjs --request ./audio_request.json --hyperframes . --out ./audio_meta.json

All three capabilities degrade on ONE switch — whether a HeyGen credential is present (resolved from $HEYGEN_API_KEY / $HYPERFRAMES_API_KEY / ~/.heygen, not the CLI):

CapabilityHeyGen credential presentabsent
TTSHeyGen Starfish REST (native word timestamps)→ ElevenLabs → Kokoro (chain transcribe for words)
BGMHeyGen music retrievalLyria → MusicGen local generation (detached)
SFXHeyGen sound-effects retrieval (min_score 0.4)bundled 21-file library (assets/sfx/)
  • Request (audio_request.json): { provider?, lang?, speed?, lines: [{ id, text, sfx?: [names] }], bgm: { mode?, query?, prompt? } }. id joins each line back to the caller's model (a frame number, a scene id, …). bgm.mode = retrieve | generate | none; omit for auto (retrieve when credentialed, else generate). An explicit retrieve is strict — it skips rather than starting a detached generate (for callers with no wait-bgm step).
  • Output (audio_meta.json, id-keyed): { tts_provider, voice_id, bgm, bgm_pending, …, voices: [{ id, path, duration_s, words }], sfx: [{ id, name, file, source, offset_s, duration_s, volume }], total_duration_s }.
  • --only tts,bgm,sfx runs a subset and merges into an existing --out (e.g. TTS+BGM early, SFX once cues exist).
  • BGM generate is spawned detached (bgm_pending: true) — run scripts/wait-bgm.mjs before assembling.
  • scripts/heygen-tts.mjs is a single-shot CLI over the same code (one text → wav + words) for when you just need HeyGen TTS without a request file.

Full flag list + the audio_meta.json schema live in the header of scripts/audio.mjs. The references below cover the provider details and edge cases behind each capability.

Preflight — show sign-in status before any audio

Always run this before generating voice or BGM — inside a full workflow or a one-off "generate me a BGM/voiceover" request. No HeyGen credential is not a reason to silently fall back to local engines: first recommend signing in and let the user decide. Run the shared preflight and relay its output verbatim — don't improvise your own "missing key" prompt, and don't offer to write keys into a per-repo .env:

bash
npx hyperframes auth status
  • Signed in → it prints the account; proceed.
  • Not signed in (exit 1 is expected here — "not signed in" is a normal state, not a failure) → it prints registration-first guidance. Recommend signing in: npx hyperframes auth login is browser OAuth — it signs in and creates an account (always available through this repo's CLI). To use an existing HeyGen API key (from app.heygen.com/settings/api), run npx hyperframes auth login --api-key — it saves to the shared ~/.heygen (no per-repo .env). The output also lists the local engines voice/BGM will fall back to and a pip hint when deps are missing. Relay this output as-is — don't paraphrase it into your own wording. Then STOP and wait for the user to choose — sign in, or say "go" / "local" to continue offline — before generating anything. This is a real decision point, not a passing note: don't fold it into another question, and don't proceed past it on your own. (Exception: in autonomous / non-interactive mode, note the status and continue offline.)
  • npx hyperframes auth status --json returns { configured, recommended_action, offline_engines } for deterministic branching.
  • If the CLI can't run (not on PATH and npx can't fetch it) → still recommend signing in (npx hyperframes auth login) and STOP for the user's choice — don't treat "no credential" as a silent green light for local generation.

Credential resolution, full key priority, and the local-dependency list are in references/requirements.md.

Provider chains (the detail behind the engine)

TTS — first available provider wins (the engine, or npx hyperframes tts "..."):

OrderProviderDetected whenWord timestamps
1HeyGen (Starfish)$HEYGEN_API_KEY / hyperframes auth loginYes, native — pass --words narration.words.json to capture
2ElevenLabs$ELEVENLABS_API_KEY setNo — chain transcribe after
3Kokoro-82M (local, 54 voices)always (no key required)No — chain transcribe after

The published hyperframes tts CLI is often the local-only build (its --help says "Kokoro-82M", no --provider/--words) and silently falls back to Kokoro even with $HEYGEN_API_KEY set. That is why the engine's HeyGen path is the self-contained scripts/heygen-tts.mjs (REST), NOT the CLI; the CLI is used only for the Kokoro path. See references/tts.md.

BGM & SFX — by default retrieved from the HeyGen audio library (/v3/audio/sounds), same credential as HeyGen TTS, with the no-credential fallback from the switch above:

AssetHeyGen typeLands inFallback (no credential)
BGMmusicassets/bgm/track.mp3 (retrieve) · track.wav (generate)Lyria / MusicGen generation
SFXsound_effects (min_score 0.4)assets/sfx/<slug>.mp3bundled 21-file library (assets/sfx/* + manifest.json)

See references/bgm.md and references/sfx.md.

Routing

TaskRead
The audio engine — request/meta schema, --only, the switchscripts/audio.mjs (header comment)
npx hyperframes tts / heygen-tts.mjs — providers, voices, wordsreferences/tts.md
BGM — HeyGen retrieval + local Lyria / MusicGen generationreferences/bgm.md
SFX — HeyGen retrieval (min_score 0.4) + bundled local libraryreferences/sfx.md
npx hyperframes transcribe — Whisper, model rules, output shapereferences/transcribe.md
npx hyperframes remove-background — transparent cutoutsreferences/remove-background.md
TTS → transcription → captions (no recorded voiceover)references/tts-to-captions.md
Caption authoring — style detection, layout, word grouping, exitreferences/captions/authoring.md
Transcript handling — input formats, quality gates, cleanup, APIsreferences/captions/transcript-handling.md
Caption motion — karaoke, marker effects, audio-reactivereferences/captions/motion.md
Model caches, system dependencies, troubleshootingreferences/requirements.md

Non-negotiable rules

  • One engine, no vendored copies. Produce audio via scripts/audio.mjs (or heygen-tts.mjs for one-shot HeyGen TTS). Don't re-implement TTS/BGM/SFX inside a workflow — write an audio_request.json adapter and call the engine.
  • "HeyGen available" = a resolvable credential, not the CLI. The whole switch keys off heygenCredential(); the published hyperframes tts may be Kokoro-only, and there is no hyperframes bgm / hyperframes sfx command at all.
  • Voice IDs are provider-specific. am_michael is Kokoro-only; HeyGen UUIDs don't work on Kokoro. If you pass --voice, also pin --provider to avoid silent provider drift when the user's env changes.
  • Always pass --model to transcribe. The CLI default small.en silently translates non-English audio. See references/transcribe.md → "Language Rule".
  • HeyGen returns word timestamps; ElevenLabs / Kokoro do not. The engine chains transcribe automatically for the latter two; standalone, pass --words to HeyGen or run transcribe against the audio file.
  • Captions consume the flat word-array format with { id, text, start, end }. See references/transcribe.md → "Output Shape".
  • remove-background --background-output is hole-cut, not inpainted. For "scene without the person", a different tool is needed. See references/remove-background.md → "When NOT the right tool".
  • BGM/SFX default to HeyGen retrieval; the no-credential fallback is generation (BGM) or the bundled library (SFX). /audio/sounds ranks by a text query — name effects concretely (glass shatter, not dramatic sound); a no-match skips, never blocks the render. SFX sit at volume ~0.35 under voice + BGM. See references/sfx.md / references/bgm.md.
  • Treat workflow caption HTML as generated output. For preset-backed videos, the reusable skin source lives at .hyperframes/caption-skin.html and the workflow script writes compositions/captions.html; do not edit generated compositions/captions.html to fix the skin. Rebuild via the workflow's captions.mjs, or use that workflow's explicit overrides mechanism when present.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Hyperframes Media AI skill do?

Audio and media assets for HyperFrames compositions, produced by one shared audio engine (`scripts/audio.mjs`) — multi-provider TTS (HeyGen / ElevenLabs / Kokoro local), background music + sound effects (HeyGen audio-library retrieval by default, with local Lyria / MusicGen BGM generation and a bundled SFX library as the no-credential fallback), Whisper transcription, background removal, and caption authoring. Use for voiceover / TTS, BGM, SFX / sound effects, transcription, captions / subtitles / lyrics / karaoke / per-word styling, voice + provider selection, and music-mood prompting.

Why use Hyperframes Media on TypingMind?

Because you install it once and use it with any model. Hyperframes Media 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 Hyperframes Media in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/calesthio/OpenMontage/tree/main/.agents/skills/hyperframes-media. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Hyperframes Media?

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 Hyperframes Media?

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

Is the Hyperframes Media AI skill free?

Yes. It is published on GitHub by calesthio under the AGPL-3.0 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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