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akachandan1akachandan1/video-studio/.claude/skills/studio/SKILL.md

studio

Skill2 starsChanged 28 days agoMITView on GitHub

Front door of Video Studio. Use for ANY video request in this repo — "make a video", "launch film", "ad", "reel", "showreel", "UGC", "product demo", "explainer", "captions", "music video", "edit this footage", "what can you make?", or when a newcomer just says hi. Checks setup, asks what they want to make, routes to the right workflow skill, and makes sure everything is assembled and rendered in HyperFrames under the PLAYBOOK rules.

13 other projects use a version of this.

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Projects with it also use design.

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Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
  • Microsoft AzureSkill

    design

    Design rules and conventions for the API Center Portal. Use when editing detail pages, card components, badges, layout, navigation, sidebars, or headers. Covers badge styling, metadata placement, page navigation patterns, and layout alignment.

    Also in 3 projects that use this

The file

We split this skill into the rules it gives an agent

9 rules. 0 are common, 3 are distinctive, and 6 are very specific to this project.

  • 0

    Common

    Most of the 12 edited versions we read keep these.

  • 3

    Distinctive

    This author's own choices. Worth a look.

  • 6

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Very specific:

    HyperFrames is the core engine: Every video made here is a HyperFrames project (HTML + one paused GSAP timeline on …

    line 8
  2. Very specific:

    Run setup/doctor.sh --quiet.

    line 14
  3. Very specific:

    If videos/ is empty (first-timer), offer the 10-second proof render: cp -R templates/hello-world videos/hello-world && cd …

    line 17
  4. Distinctive:

    If the request is vague, ask ONE question with options (AskUserQuestion), then route:

    line 27
  5. Distinctive:

    Always ask these before building (batch them): format (16:9 / 9:16 / 4:5, or several), length, audience & goal, brand assets (logo, …

    line 45
  6. Very specific:

    Python: always via the studio env: <studio>/.venv/bin/python (from a project folder: ../../.venv/bin/python).

    line 52
  7. Very specific:

    Read docs/PLAYBOOK.md once per session.

    line 62
  8. Distinctive:

    Real people's footage: no AI voice regeneration, no invented frames.

    line 64
  9. Very specific:

    No client footage, brand assets or keys ever go into this repo (videos/ and out/ are gitignored).

    line 68

“Common” is measured: kept by at least 6 in 10 of the 12 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Video Studio — front door

HyperFrames is the core engine. Every video made here is a HyperFrames project (HTML + one paused GSAP timeline on window.__timelines["main"], data-* timing) that is linted, checked and rendered with npx hyperframes. Other tools feed HyperFrames: they make shots, art, voice, music or captions that end up as assets inside a HyperFrames composition. Load the hyperframes skill for composition rules before writing HTML.

1. First contact (every new session)

  1. Run setup/doctor.sh --quiet. If anything required is ✗, tell the user in one plain line what's missing and offer to run setup/setup.sh (≈10 min, asks before each install). Optional ✗ (Higgsfield, Fal, Topaz) only matter when a workflow needs them — mention them then, not now.
  2. If videos/ is empty (first-timer), offer the 10-second proof render: cp -R templates/hello-world videos/hello-world && cd videos/hello-world && ../../.venv/bin/python score.py && npx --yes hyperframes@0.8.172 render -o ../../out/hello-world.mp4 then send the MP4. This proves the whole pipeline works before any real job.

How every message should feel

Like a well-made app: one stage per message and then wait; bold stage titles; choices as tables; short lines; pasteable blocks that contain only what gets pasted; no narration of internal steps (file writes, checks, timing maths). Speak where the user acts or something is missing.

2. Ask what they're making (plain words, no skill names)

If the request is vague, ask ONE question with options (AskUserQuestion), then route:

They wantRoute to skillNeeds
Fast CapCut-style reel, showreel, hype edit, story told in chop cutschop-reelnothing paid
Apple / OpenAI-style product launch film, premium spec adlaunch-filmoptional Higgsfield credits for AI shots
UGC / creator-style ads, AI presenter, ad variants for Meta/TikTokugc-ads (+ ugc-actor for casting)Higgsfield credits
Screen recording → polished product walkthroughproduct-demoa recording; optional VO script (.srt)
Narrated, fact-checked explainer in a Vox-style collage or paper-diorama look ("why does X happen?")explainernothing paid (AI scenes optional)
Painterly / Kurzgesagt-style explainer, art-history styles, science "what's inside"art-stylesnothing paid
Captions / subtitles / hook on a talking video, clean up audiocaption-videothe video
Recut a long talking-head into a short (TikTok/Reels) with B-roll graphicstalking-head-recut (HyperFrames) + caption-videothe video
Original music / sound design / beat-synced editscorenothing paid
Text, article or URL → explainer or promofaceless-explainer, product-launch-video (HyperFrames)nothing paid
Music track → music videomusic-to-video (HyperFrames) or the Fal music-video pluginFal key for the plugin
Slides / pitch → videoslideshow (HyperFrames)nothing paid
"Use motion #020" / "open the motion-prompt library"motion-prompt → port the move into HyperFramesnothing paid

Always ask these before building (batch them): format (16:9 / 9:16 / 4:5, or several), length, audience & goal, brand assets (logo, colours, fonts — or "invent one"), budget for paid generations (credits / $ cap or "code only").

3. Build — the house pipeline

  1. Project: videos/<short-name>/ (gitignored). Start from templates/ when one fits, else npx hyperframes init.
  2. Plan on paper first: a cue sheet / shot list with times on a beat grid (e.g. 120 or 150 BPM). Picture cuts, sound hits and captions all reference the same times.
  3. Python always via the studio env: <studio>/.venv/bin/python (from a project folder: ../../.venv/bin/python).
  4. Make assets with the routed workflow (code scenes, AI shots, huashu art, Kokoro VO, synth score).
  5. Assemble in HyperFrames. npx hyperframes lint → fix every error → npx hyperframes check → snapshot key frames and LOOK at them (npx hyperframes snapshot . --at <t>).
  6. Render → out/<name>.mp4, loudness-normalise to −14 LUFS (ffmpeg -i in.mp4 -af loudnorm=I=-14:TP=-1:LRA=11 -c:v copy out.mp4). Pull 4–6 frames and check them before sending. Send with SendUserFile.
  7. Multi-aspect: lay out relative to the stage (W, H, short side M) and build each aspect from one source.

4. Rules that always apply

Read docs/PLAYBOOK.md once per session. The non-negotiables:

  • Quote cost and wait for a yes before any paid generation (Higgsfield, Fal, ElevenLabs).
  • Real people's footage: no AI voice regeneration, no invented frames. Denoise / EQ / upscale only.
  • Research before designing ads (category ad libraries first; brand guides are identity, not layout rules).
  • "Edit it like this reference" → pull frames at 6 fps and list typography, layering, placement, motion before building.
  • No client footage, brand assets or keys ever go into this repo (videos/ and out/ are gitignored).

5. When done

Offer one next step (other aspect ratio, a variant, captions). If the job produced a reusable trick, suggest adding it to the studio (a template, a skill section, or a PLAYBOOK rule) — that's how the kit improves.

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