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Media Use

Community
Jakeschincariol
media-use

Agent Media OS, the single skill for every media need in a HyperFrames project. Resolve BGM, SFX, image, icon, brand logo, voice, color grade, or LUT into a frozen local file or paste-ready block + ledger record (one verb, `resolve`); generate via TTS / music / image models when the catalog misses; produce voiceover, transcription, captions, and background removal through one shared audio engine; operate on media (cut / reframe / transform); and reuse assets across projects. Also use for vague feedback that real footage looks dark, flat, boring, should feel retro/camcorder/print/ASCII, needs privacy, or needs a media reveal.

Overview

PublisherJakeschincariol
Repositoryvideo-production-skills
Skill namemedia-use
Stars
64
Forks
23
Bundled files
150
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.

  • 150 bundled files

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

  • Open source

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

Installation

Install the Media Use 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/Jakeschincariol/video-production-skills/tree/main/media-use
  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/Jakeschincariol/video-production-skills.git /tmp/video-production-skills
mkdir -p .claude/skills
cp -r /tmp/video-production-skills/media-use .claude/skills/media-use
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Media Use 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 Media Use 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 Media Use 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.

media-use

The media OS for HyperFrames: resolve · generate · operate · remember — every media type, one skill, zero context noise.

First run: install and sign in to the heygen CLI (the free-usage path), then verify with node <SKILL_DIR>/scripts/resolve.mjs --doctor. Setup and providers: references/setup-providers.md.

Resolve — the one verb

bash
node <SKILL_DIR>/scripts/resolve.mjs --type <type> --intent "<description>" --project <dir>

Returns one line: resolved <id> → <path> (<type>, <metadata>). All search noise stays on disk.

TypeOne-line intent
bgmbackground music (HeyGen catalog, 10k+ tracks)
sfxsound effects (bundled 19-file library + catalog)
imagephotos, backgrounds (HeyGen asset search, 75k+ vectors)
iconicons, symbols (transparent)
logoofficial brand marks (svgl → simple-icons → GitHub avatar → favicon; never redrawn)
voiceTTS voiceover (HeyGen free-usage path; optional local Kokoro)
grademeasured correction candidate; broad polish/stylization follows Media Treatments
lutuser-provided or explicitly chosen reusable validated .cube file

Before resolving fresh, list reusable candidates with --candidates and judge fit yourself — reuse rules, all flags, ingest (--from), and adopt are in references/resolve.md.

Treat broad visual feedback as media intent

When a user explicitly asks to fix, polish, stylize, obscure, emphasize, or reveal photographic media, read references/media-treatments.md even if they do not name color grading or an effect. Inspect the real <img>/<video>, choose one primary intent, then use deterministic persistence and verification. Use a matching recipe as an optional tested seed, or inspect hyperframes media-treatment --capabilities --json, then request one relevant family/effect with --capability <id> and assemble a custom treatment from canonical controls. Never load --all for ordinary authoring. A treatment may compose correction, a preset, finishing, compatible shader effects, supported keyframes, and optional Registry overlays. Add only source-justified bounded tuning and compatible parts, never effects merely to make the result look more sophisticated. Persist the final combined payload with hyperframes media-treatment.

Use one progressively escalating workflow. For video, inspect one labeled early/middle/late contact sheet rather than reading frames separately. Apply one candidate and inspect one after-sheet for ordinary correction or polish. Escalate to individual frames or moving draft evidence only when the result is ambiguous, temporal, stylized, LUT-based, HDR/LOG-sensitive, private, or brand-critical.

For ordinary correction or polish, persist the final treatment's preset/adjustment JSON. Do not generate a .cube LUT merely to encode exposure, shadows, contrast, or warmth. Use a LUT only when the user supplies one or the selected treatment explicitly owns one. resolve --type grade --for ... --analyze is measurement evidence, not permission to replace the chosen treatment with a generated LUT. Do not recreate supported vignette, grain, blur, pixelate, color, or treatment effects with CSS/SVG overlays; that bypasses Studio controls and the canonical preview/render shader path.

Be proactive — run a media opportunity pass

The human usually can't tell which media would lift the piece. You can. When you build or review a composition, do one grounded scan and then ask once — don't silently add, and don't nag per asset.

Surface an opportunity only when a concrete signal is present:

Signal detectedOffer
On-screen text / a script with no voiceoverTTS voiceover (audio engine)
Emoji or a <div> styled as an iconresolve real icons
Image that is a placeholder, tiny, or upscaled-lookinga better image (and/or upscale — see references/operations.md)
Hard scene cuts / transitions with no soundtransition sfx
A piece over ~10s with no music bedbgm
Footage that reads under/over-exposed or color-casta corrective grade (inspect it with hyperframes media-treatment --selector '#hero' --analyze --json)
Photographic media that feels visually flat or off-topicone specific source-appropriate preset or custom treatment, with the intended target named
A meaningful media entrance/reveal that feels staticone supported seek-safe treatment animation; preserve color unless the request also justifies a preset

Rules that keep this a help, not nagware: grounded, not generic (no signal → no suggestion); opinionated + concrete (propose the specific fix with defaults chosen — the human approves all / some / none); once per project (one consolidated ask; respect "leave it"); surface, never silently mutate (color grades especially: propose and preview — a gray-world "correction" ruins an intentional sunset or neon look).

Where to look — read only the file your task needs

TaskRead
resolve / reuse / adopt / ingest, flags, cascade, inventoryreferences/resolve.md
color grading, LUTs, smart grade (--for), grade-comparereferences/grading.md
voiceover / TTS, music, SFX, captions, transcription (audio engine)references/audio.md
cut / reframe / transform existing media, exact error diffusion, HEVCreferences/operations.md
source-aware creative treatments, realtime effects, overlays, revealsreferences/media-treatments.md
install + auth, provider table, RAM ladders, --local-only, --providerreferences/setup-providers.md
remembered preferences + frozen recipes (user memory)references/memory.md
ownership matrix, usage stats, telemetry, privacy (maintainer-facing)references/meta.md

Bundled files

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

and 90 more files.

Frequently asked questions

What does the Media Use AI skill do?

Agent Media OS, the single skill for every media need in a HyperFrames project. Resolve BGM, SFX, image, icon, brand logo, voice, color grade, or LUT into a frozen local file or paste-ready block + ledger record (one verb, `resolve`); generate via TTS / music / image models when the catalog misses; produce voiceover, transcription, captions, and background removal through one shared audio engine; operate on media (cut / reframe / transform); and reuse assets across projects. Also use for vague feedback that real footage looks dark, flat, boring, should feel retro/camcorder/print/ASCII, need...

Why use Media Use on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Jakeschincariol/video-production-skills/tree/main/media-use. 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 Media Use?

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 Media Use?

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

Is the Media Use AI skill free?

It is published on GitHub by Jakeschincariol. Check the repository for licensing terms. 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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