Creative media

Skill Skryx-L-A/project-kit/skills/creative-media

Say "new project" → get a perfectly-prepared project folder. A Claude Code bootstrap kit that grills the plan to a Definition of Ready, then auto-scaffolds files, memory, project sub-agents & tooling — routing to type-specific sub-skills (website, api, data/ml, quant, SaaS, CLI, app, game-mod, research, OSS… + a 7-day build-business ultraskill).

Install

npx -y skills add Skryx-L-A/project-kit --skill creative-media

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

1 stars1 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

What its author says it does

Copied from the file, not written here

Build/set up a creative-media project — AI image/video/audio generation, a YouTube or ads channel, thumbnails, short-form, or brand visuals — from the user's grilled answers. Project-kit sub-skill loaded by new-project routing whenever someone wants to make videos, generate images, run a content channel, design thumbnails, produce ads, or build brand visuals. Chains higgsfield-generate (+ soul-id, product-photoshoot), design-harvest, pptx, and the virality predictor, and bakes in a repeatable produce→review→publish pipeline.

SKILL.md

7.5 KB, as published. Nobody here has run it

creative-media — a repeatable produce→review→publish pipeline

What this sub-skill is for

Standing up a creative-media project: a repeatable pipeline that turns a concept into published assets — AI image/video/audio generation, a YouTube or short-form channel, an ads operation, thumbnails, or brand visuals. Loaded by new-project for any "make videos / generate images / run a channel / produce ads / design thumbnails / brand visuals" request. The whole skill is organized around one idea: build a pipeline (concept → generate → review → publish) that can run again, not just one lucky asset.

Mandatory grill-questions (fold into the Definition of Ready)

Lock these before generating anything:

Medium — image, video, audio, or mixed? Decides the generation model + the whole pipeline.
Platform + format/aspect — YouTube long-form (16:9), Shorts/Reels/TikTok (9:16), feed posts (1:1/4:5), display ads (set sizes)? Pin the exact aspect ratio(s) and duration now.
Brand / style — palette, typography, tone, references. Harvest tokens from references with design-harvest. Consistency across assets matters more than any single hero piece.
Volume / cadence — how many assets per week, and the publishing rhythm? The pipeline must sustain that cadence, not just produce one piece.
Identity consistency — recurring faces (use higgsfield-soul-id to train a Soul) or recurring products (use higgsfield-product-photoshoot)? Lock identity before batch-generating.
Edit / assembly flow — where raw generations get cut, captioned, scored, and exported (an NLE, a script, higgsfield's tools). No emojis in any on-screen text/overlays.
Publish + rights — who posts, where, and is every input (faces, music, product, stock) cleared for the intended use? AI-disclosure required on the target platform?
Success metric — what "this works" means: a published asset, a tested hook, a virality_predictor score over a bar, or a filled content calendar.

Project sub-agents to generate (into `<project>/.claude/agents/`)

concept-writer (delegate-by-default) — turns the brief into concepts, hooks, scripts, and generation prompts on-brand and on-format; keeps a backlog feeding the pipeline's cadence.
asset-generator (delegate-by-default) — runs the higgsfield generation: generate_image, generate_video, generate_audio, applying the trained Soul (--soul-id) or product-photoshoot mode for consistency, and organizing outputs by campaign/episode.
thumbnail-designer — designs thumbnails/covers/key art that read at small sizes, on-brand, emoji-free; chains design-harvest for reference patterns and the higgsfield image tools.
virality-checker (delegate-by-default for video) — runs virality_predictor (brain_activity) on cut videos for hook strength, attention, retention, and distraction risk; reports the score honestly and flags weak hooks before publish.
Plus the kit default reviewer (brand/format/rights review before publish).

Tools / CLIs / MCP / skills needed

Check in environment-readiness; offer install, never auto-install:

CHAIN the higgsfield MCP + skills as the generation core: higgsfield-generate (generate_image / generate_video / generate_audio, image-to-image, image-to-video, Marketing Studio for ads with avatars/products/hooks), higgsfield-soul-id (train a face for identity-consistent output), higgsfield-product-photoshoot (brand/product visuals), higgsfield-marketplace-cards (listing/product image sets), and virality_predictor for video. Use media_upload_widget / media_import_url for the user's own input media.
CHAIN design-harvest — pull palette/typography/spacing/component tokens from reference sites for the brand system and thumbnails. CHAIN framer-inspiration if the project ships a site.
CHAIN the pptx skill for pitch/brand decks and the magic MCP for any web UI/overlay templates. docx for scripts/treatments if wanted.
Editing/encoding — ffmpeg (cut/caption/encode/aspect-convert), an NLE if hand-edited. Verify ffmpeg is present. CHAIN global skills: deep-research (platform/format/trend facts), verify, code-review (if the pipeline is scripted), cli-anything (wrap a GUI editor like Shotcut/Inkscape headlessly).

File / asset nudges (on top of the base set)

Beyond CLAUDE.md, PROJEKT_<NAME>.md, TASKS.md, DONE.md, README, .claude/:

BRAND.md — palette, type, tone, do/don'ts, the trained Soul/product reference ids, and the emoji-free overlay rule. The consistency contract.
PIPELINE.md — the repeatable concept → generate → review → publish steps, who/what runs each, and the per-format spec (aspect, duration, safe areas).
CALENDAR.md — the publishing cadence + a content backlog.
assets/ split into raw/ (generations), edited/, published/, thumbnails/; large media .gitignored or Git-LFS.
assets/RIGHTS.md — provenance + license + usage-right + AI-disclosure status per input/output. Non-optional.

Stack defaults & done-bar

Default stack: higgsfield for generation (GPT Image 2-class for images/design/text, Seedance for video, generate_audio for sound; Soul for consistent faces, product-photoshoot for products), design-harvest for brand tokens, ffmpeg for assembly/encode/aspect, virality_predictor to score video, pptx for decks. Assets organized in assets/, big media kept out of git or in LFS. Done-bar (all true): a repeatable produce→review→publish pipeline is documented in PIPELINE.md and runnable again at the chosen cadence; the first real asset(s) are generated, on-brand, in the correct format/aspect, and emoji-free; identity consistency holds where required (Soul/product); for video, hooks pass the virality_predictor bar or weak ones are flagged; every input/output has a recorded right in assets/RIGHTS.md.

Guardrails

Disclose AI-generated media where the platform or law requires it; record disclosure status in RIGHTS.md. Don't pass synthetic media off as a real photograph where that would mislead.
Rights / licensing — every face, voice, song, product, and stock input must be cleared for the intended commercial use before it ships; record provenance per asset.
No deepfakes of real people without consent — only generate a real person's likeness/voice with their explicit permission (the Soul-ID identity flow is for consented faces only).
Honest performance — report virality_predictor scores straight; don't dress up a weak hook as strong, and don't claim reach/engagement you haven't measured.
No emojis in any on-screen text, overlay, thumbnail, caption, or UI (user's standing rule) — typographic symbols or designed glyphs only.
Never commit secrets / platform API keys / publish tokens.
Commits under the user's own name only (Skryx-L-A); never add Claude as a co-author.