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Build generative media

Skill hiteshbandhu/skills-i-use/skills/ai-engineer-talks/build-generative-media

Builds and ships generative image/video products—FLUX, ComfyUI workflows, Veo, fal platforms, Luma-scale launches, and API-first creator UX. Use when working on diffusion pipelines, Comfy graphs, video models, generative media infra, or viral consumer media launches.From its SKILL.md

Install
npx -y skills add hiteshbandhu/skills-i-use --skill build-generative-media

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

  • 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.
  • runs commandsInstructs the agent to run 2 commands, including `cp -r skills/build-generative-media ~/.cursor/skills/` and 1 more.

SKILL.md

2.0 KB, 432 tokens by cl100k_base, as published. Nobody here has run it

Build generative media

Action playbook from nine AI Engineer generative media talks. Do not summarize — pick a workflow theme.

Supporting files: workflows.md · source-index.md

Optional: ./skill-outputs/build-generative-media/


Step 0 — Pick workflow

What is the user trying to do?
├─ Choose image model (FLUX, open research)           → image-models
├─ ComfyUI reproducible node pipelines                → comfy-workflows
├─ Viral consumer launch / GPU scale (Luma)           → scale-launch
├─ Creator API UX (Replicate-style)                   → api-ux
├─ Multi-model platform routing (fal)                 → media-platform
├─ Google Veo / GenMedia enterprise chains            → google-video
├─ Diffusion training/serving at scale (DeepMind)     → training-scale
└─ Exploration mindset for new modalities             → curiosity-lab

Install

cp -r skills/build-generative-media ~/.cursor/skills/
cp -r skills/build-generative-media ~/.codex/skills/

Source: playlists/generative-media-ai-engineer/.


Cross-cutting rules

RuleSource
Embed workflow JSON in outputs for reproducibility[src-002 @ 0:01:58]
Rehearse 10x scale before viral marketing[src-003 @ 0:01:37]
Video compute ≠ image—budget tokens separately[src-007 @ 0:04:52]
Enterprise gen media needs brand/safety defaults[src-006 @ 0:15:04]
Demoable, legible APIs beat opaque pipelines[src-004 @ 0:01:15]

Output

Name theme; artifacts under ./skill-outputs/build-generative-media/ when requested.

What ships with it: 3 files

4.9 KB alongside SKILL.md

Gives 0 of the 12 instructions most media documents skills give in 432 tokens

Counted across 99 of the 124 authors here whose files we hold, read 2026-09-06

  • Define three to five content pillarsin 7 of 99, across 5 files
  • Tag every finding as verified, medium, or assumedin 5 of 99, across 3 files
  • Respond to comments within one hourin 5 of 99
  • Adapt content format to each platformin 5 of 99
  • Choose platforms where the audience already spends timein 4 of 99, across 2 files
  • Cap promotional content at ten percentin 4 of 99, across 2 files
  • Answer product questions within two hoursin 4 of 99, across 2 files
  • Acknowledge complaints publicly, resolve them privatelyin 4 of 99, across 2 files
  • Batch-create posts to keep cadence consistentin 4 of 99, across 2 files
  • Fan out across free media sources in one queryin 3 of 99, across 1 file
  • Use Pexels or Pixabay for modern short clipsin 3 of 99, across 1 file
  • Extract historical shots from archival filmsin 3 of 99, across 1 file

Said here and by no other author read

  • pick a workflow theme first
  • route the user goal to one workflow
  • embed workflow JSON in outputs for reproducibility
  • rehearse tenfold scale before viral launch
  • budget video compute separately from image
  • set brand and safety defaults for enterprise media

Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.

Keep looking

Skills are one crate of 325,949. 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.