Agent skill · Backend & API

sora

Use when the user asks to generate, remix, poll, list, download, or delete Sora videos via OpenAI\u2019s video API using the bundled CLI (`scripts/sora.py`), including requests like \u201cgenerate AI video,\u201d \u201cSora,\u201d \u201cvideo remix,\u201d \u201cdownload video/thumbnail/spritesheet,\u201d and batch video generation; requires `OPENAI_API_KEY` and Sora API access.

majiayu000github.com/majiayu000GitHub ↗
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill sora --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 8 KB
Bundled scripts: none
Path: skills/ai-llm/sora/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Sora Video Generation Skill Creates or manages short video clips for the current project (product demos, marketing spots, cinematic shots, UI mocks). Defaults to `sora-2` and a structured prompt augmentation workflow, and prefers the bundled CLI for deterministic runs. Note: `$sora` is a skill tag in prompts, not a shell command. ## When to use - Generate a new video clip from a prompt - Remix an existing video by ID - Poll status, list jobs, or download assets (video/thumbnail/spritesheet) - Batch runs (many prompts or variants) ## Decision tree (create vs remix vs status/download vs batch) - If the user has a **video id** and wants a change → **remix** - If the user has a **video id** and wants status or assets → **status/poll/download** - If the user needs many prompts/assets → **create-batch** - If the user asks for two versions with a small change (same shot, different subject/detail) → **create** the base, then **remix** for the variation - Otherwise → **create** (or **create-and-poll** if they need a ready asset in one step) ## Workflow 1. Decide intent: create vs remix vs status/download vs batch. 2. Collect inputs: prompt, model, size, seconds, and any input reference im

What's inside
Steps it walks through
  1. When to use
  2. Decision tree (create vs remix vs status/download vs batch)
  3. Workflow
  4. Authentication
  5. Defaults & rules
  6. API limitations
  7. Guardrails (must enforce)
  8. Prompt augmentation
  9. Examples
  10. Generation example (single shot)
  11. Remix example (invariants)
  12. Prompting best practices (short list)
  13. Guidance by asset type
  14. CLI + environment notes
Ships with 1 file
  • metadata.json
More from claude-skill-registry
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About this skill
What does the sora skill do?

Use when the user asks to generate, remix, poll, list, download, or delete Sora videos via OpenAI\u2019s video API using the bundled CLI (`scripts/sora.py`), including requests like \u201cgenerate AI video,\u201d \u201cSora,\u201d \u201cvideo remix,\u201d \u201cdownload video/thumbnail/spritesheet,\u201d and batch video generation; requires `OPENAI_API_KEY` and Sora API access.

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill sora --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going