video-render-run
Skill0 starsChanged 4 months agoMITView on GitHub
Render and validate an MP4 from an existing `video-builder` spec JSON using the bundled Python pipeline. Use when a spec already exists and the job is actual rendering, not story or spec design.
In this repository37 other files it gives its agents.
- adr-logSkill
- adversarial-reviewSkill
- ai-writing-detoxSkill
- autonomous-video-pipelineSkill
- browser-tutorial-videoSkill
- codex-execution-packSkill
- continuity-ledgerSkill
- github-mobile-opsSkill
- github-seoSkill
- idea-validationSkill
- illustration-promptSkill
- issue-control-loopSkill
- justdoitSkill
- lazy-seniorSkill
- long-context-dispatchSkill
- openclaw-councilSkill
- parallel-worktreesSkill
- playwrightSkill
- product-councilSkill
- product-shapingSkill
- public-artifact-laneSkill
- readme-generatorSkill
- screenshotSkill
- session-to-postSkill
- spec-bundleSkill
- spreadsheetSkill
- spreadsheet-tabular-analysisSkill
- spreadsheet-xlsx-editSkill
- tool-scoutSkill
- transcribe-basicSkill
- transcribe-diarizeSkill
- transcribeSkill
- triage-findingSkill
- video-builderSkill
- video-spec-builderSkill
- visual-explainerSkill
- work-shapingSkill
The file
We split this skill into the rules it gives an agent
2 rules. About 0 are common, 1 is distinctive, and 1 is very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈1
Distinctive · estimate
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 10
Do not use when: the user still needs help designing the spec or choosing the input mode.
- Very specific: line 17
Verify the spec path, required assets, fonts, and ffmpeg plus ffprobe availability before running the pipeline.
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Video Render Run
Metadata
- Trigger when: a video spec JSON already exists and the task is to render and verify output.
- Do not use when: the user still needs help designing the spec or choosing the input mode.
Skill Purpose
Take an existing spec, run the renderer deterministically, and validate the resulting MP4 instead of mixing render execution with preproduction planning.
Instructions
- Verify the spec path, required assets, fonts, and
ffmpegplusffprobeavailability before running the pipeline. - Render with
~/.codex/skills/video-builder/scripts/render_video.pyusingpython3 ~/.codex/skills/video-builder/scripts/render_video.py --spec /absolute/path/to/spec.json --out /absolute/path/to/out.mp4. - Validate the MP4 with
ffprobeor equivalent playback checks. Confirm duration, pacing, narration alignment, and whether the render is ready or needs one targeted fix.
Non-Negotiable Acceptance Criteria
- A real spec path exists before rendering starts.
- Missing dependencies, fonts, or assets are reported directly.
- Validation covers output existence plus playback sanity, not just command success.
- The skill does not silently rewrite the spec unless the task explicitly asked for repair.
Output
- The spec path and rendered MP4 path.
- A short validation note on duration, pacing, narration alignment, and any blocker.
Next skill options(only if needed):$video-spec-builder— repair or rebuild the spec when the current spec is incomplete or wrong.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

