agentsclimarketplace

12 media orchestration

Skill heymegabyte/claude-skills/12-media-orchestration

14-category autonomous product-building OS for 32+ AI coding tools. One-line prompts → deployed products.

Install
npx -y skills add heymegabyte/claude-skills --skill 12-media-orchestration

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

2 things to look at

  • no licenseNo license file was found in the repository. Code published without one is not open source by default, so using it at work is a question for whoever answers licensing questions where you are.
  • 18 stars18 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

Section-by-section media planning and generation. Image generation (GPT Image 1.5 primary, built-in fallback), logo/icon generation (Ideogram v3 → favicon set), video generation (Sora), social preview images (OG 1200x630 + AI search optimization), stock photo curation (Pexels, Pixabay), critique/remix loops (max 3 rounds), asset compression pipeline, and media performance budgets.

The file declares its own license as Rutgers. That is the author’s claim about this one file, and it is not the same thing as the license GitHub reports for the repository, which is listed with the other numbers below.

SKILL.md

6.3 KB, as published. Nobody here has run it

12 — Media Orchestration

Plan and generate all site media section-by-section: images (GPT Image 1.5), logos (Ideogram v3), video (Sora), OG cards, and compression pipeline.

Model migration note (pass-77, 2026-06-09): DALL-EGPT Image 1.5 + GPT-4oGPT Image 2 vision. Per platform.openai.com/docs/deprecations.

Submodules

  • media-prompts — prompt templates, Ideogram v3 API
  • compression-pipeline — Python code, format tables, CF Image Transforms, CLS, broken image detection
  • og-image-generation — Satori edge-rendered OG, KV / R2 cache, meta-tag helper
  • image-optimization — Sharp processing, responsive srcset, WebP/AVIF, blur placeholders, R2 pipeline
  • image-profiling — GPT Image 2 vision batch profiling
  • lightbox-classifier — per-image eligibility: kind!=logo + ≥1024×768 + score≥7
  • social-brand-hex — canonical brand-color map per social platform
  • notebooklm-pipeline — per-site podcast via ElevenLabs Studio + infographic via Vega-Lite/Recraft/GPT-Image-2 + HeyGen video + CF Stream + RSS + JSON-LD + cost ceiling $3.50/site

Strategy by Section

Hero → GPT Image 1.5 / Sora · Features → GPT Image 1.5 / SVG · How It Works → GPT Image 1.5 · Testimonials → stock · About → stock/real · Blog → GPT Image 1.5 · Social → Satori OG 1200×630 · Icons → Ideogram v3

Pre-gen checklist: communication goal? Brand style? Dimensions? Format? Budget? Stock or generated?

Visual Inspection (MANDATORY)

Read every image before deploy. Check: blur, artifacts, watermarks, wrong colors, AI hallucinations, gibberish text. Fail = regenerate w/ improved prompt. Quality bar: 2× retina, no artifacts, brand palette, consistent style, no uncanny valley.

Brian's Style

  • Space/cosmic — #00E5FF + #7C3AED, deep black (#060610); connections/dots — quantum, neural, constellation
  • "Ultra realistic" scenes; transparent logos; simpler always; motifs — squirrels, turtles

Image Generation

  • GPT Image 1.5 preferred (best quality); GPT Image 1 for speed; GPT Image 1-mini for bulk/drafts
  • Fallback: scripts/image_gen.py; product screenshots: Playwright on live URL
  • Be specific: include colors, specify avoidances

GPT Image 1.5 First Slot-Fill (CANONICAL — UNIVERSAL)

PRIMARY originator for every slot real-entity sources (Places / uploads / scrape) didn't fill. GPT Image 1.5 invoked BEFORE generic stock; stock APIs run parallel speed-pass fallback (instant return if GPT Image 1.5 hangs >15s). See skill 15 media-acquisition + Fail-CLOSED auto-regenerate (5 attempts, $0.40 worst-case ceiling per slot).

Per-Slot Prompt Mandatory Fields (BUILD-BREAKING — validate-image-prompts.mjs + validate-dalle-slot-fill.mjs)

Every GPT Image 1.5 call MUST encode 6 fields from _media_slots.json:

  1. Page topic + intent verbatim from topic_intent
  2. Brand palette tokens from _brand.json.colors (inline hex)
  3. Composition + aspect ratio matching aspect
  4. Subject specificity (NEVER "people" — always "octogenarian volunteer plating soup, soft window light, documentary style")
  5. Photographic technical specs (camera, lens, lighting, DoF — "shot on Hasselblad, 85mm prime, golden hour, shallow DoF")
  6. Negative prompt block ("no text, no watermarks, no logos, no extra fingers, no AI artifacts, no stock-photo cliches")

Generic prompts FAIL validator. Same template applies to FLUX, Recraft, Stability.

Fail-CLOSED Auto-Regenerate (BUILD-BREAKING — validate-no-empty-slots.mjs)

Every slot MUST end build w/ filled_url != null AND filled_score >= relevance_floor (default 8/10 via GPT Image 2 vision). Failure modes (Pexels empty, NSFW-flagged, broken scrape, vision below floor) → immediate re-gen w/ REFINED prompt — NEVER silent skip, NEVER substitute brand-gradient unless 5 attempts exhausted. media_pipeline_orchestrator sub-agent owns this loop. See media-acquisition.md § Fail-CLOSED chain.

Logo / Icon / Video / OG

  • Logo — Ideogram v3 (best text rendering); Icons — Recraft V3; output: PNG transparent + SVG; bg removal → favicon set (16/32/180/192/512 + maskable); brand mark MUST be vector-clean
  • Video — Sora (primary cinematic); Veo (narrative stitching, 7-8 × 8-sec clips → 60-sec arc); HeyGen (explainer/spokesperson); captions VTT + transcript; prefers-reduced-motion → static poster fallback
  • OG (1200×630) — Satori edge-rendered, per-route unique, BRANDED CARD never raw photo, ≤100KB, cached KV 7d / R2 forever

Stock Photography + Asset Compression + Performance

Stock: Pexels first (free, API); Pixabay second. Never Unsplash (generic), iStock/Getty (paid). Critique-and-remix loop max 3 rounds; AI vision <7/10 = reject + regenerate.

Compression: AVIF primary (94% browser support, 20-30% smaller than WebP); WebP fallback (Safari 14+); JPEG legacy. Sharp: 320/640/1280/1920w srcset; blur placeholder; dominant color → CSS bg fill. R2 upload per-extension content-type.

Budgets: total images/page ≤500KB; largest single ≤200KB; Hero LCP fetchpriority="high" + preload; loading="lazy" + decoding="async" on all others.

See submodules for: media-prompts, compression-pipeline, og-image-generation, image-optimization, image-profiling, lightbox-classifier, social-brand-hex, notebooklm-pipeline, build-breaking-rules.

Keep looking

Skills are one crate of 328,083. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.