agentleFS
ttalkkaklabttalkkaklab/social-flow/skills/compose-blender/SKILL.md

compose-blender

Skill1 starsChanged 3 months agoApache-2.0View on GitHub

Renders cut compositions in Blender for camera and blocking checks. Use only when the user asks for Blender compositions.

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
  1. Distinctive:

    Follow the production order.

    line 12
  2. Very specific:

    Use location assets and the cut plan.

    line 14

≈ “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.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Compose Blender

Runs only when the user asks for it (user directive 2026-10-31); no other step waits on it. Follow the production order.

Use location assets and the cut plan. This needs Blender even if the saved optional video previz renderer is three.js; report a missing Blender rather than substituting another renderer. The cut's images still come from shot_image; these renders check camera and blocking.

Build/reuse the shared set and bind each cut's camera, actors, gaze and prop states. For each cut render through location_manage action render; it returns compositionReceipt, the renderer's JSON binding the shot ID, the .blend and the start image hashes. Inspect the compositions in order against the camera plan and fix the camera plan with shot_icons or storyboard_apply. Stop before AI image generation.

Download now (ZIP)

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
What did you use it for? e.g. Reviewing pull requests in a Rails app

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.