Blender Pipeline
SkillDocs & knowledgeExtract a tutorial or reconstruct a Blender result from video links, local videos with supporting assets, or Markdown tutorials in Codex chat. Clarify the intended output when unspecified; also route explicit showcase reproduction and independent asset edits.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the Blender Pipeline skill
What this skill tells your AI
The instructions your AI receives, as published by freedomintelligence/blenderlore in skills/blender-pipeline/SKILL.md and read by ahel’s review.
Start from the Codex client
This is the user-facing Codex launcher. If the requested output is unclear, ask whether the user wants only a tutorial or a complete Blender reconstruction; wait for their choice before launching. Do not ask again when the goal is explicit.
Read references/codex-launch.md, interpret the
user's natural-language inputs, and invoke this skill's
scripts/launch_from_codex.py yourself. It calls the same maintained pipeline
as the API entrypoint. Tutorial-only stops after preparation; full reconstruction
continues through knowledge retrieval → Blender generation → render and review.
A video with an accompanying .blend, preview, texture, or dependency bundle
retains those inputs in either selected route; it is not an independent edit.
A supplied Markdown tutorial skips video extraction: prepare it for tutorial-only,
or continue knowledge-backed generation for reconstruction. No RW1 is required.
Use the user's requested output location or established data root. Ask only for
missing information needed to run, not command-line flags or API credentials.
The Codex path uses the signed-in Codex CLI; the user need not run a Python
launcher manually. run_codex.py remains a compatibility entrypoint, not the
client interaction. Requests to explain, inspect, or dry-run do not authorize
an actual reconstruction.
Extract a tutorial from video
For tutorial-only, pass --extract-only and do not start reconstruction. Read
tutorial-extraction/SKILL.md for illustrated
Markdown, learner inputs and the separate rubric; both replay routes reuse it.
Reproduce a maintained showcase
Read reproduction/SKILL.md only for an explicitly requested catalog recipe or hybrid-delivery workflow. A tutorial's subject also appearing on the showcase does not change ordinary replay routing. Public previews do not authorize downloading the underlying assets.
Generate from zero
For ordinary video/tutorial requests use the client launcher above. Use the specialized generation mode for an explicit from-zero reference/text task or low-level generation work, with no authoritative starting project.
Read generation/SKILL.md, then load knowledge/generation.md, knowledge/evidence-and-routing.md, and only the relevant sections of knowledge/rendering-and-dynamics.md.
Edit an existing asset
Use editing for a standalone change request on an existing asset, without a video/tutorial reconstruction workflow. A generated replacement object within that scoped change remains part of the edit.
Read editing/SKILL.md, then load knowledge/editing.md and only the relevant sections of knowledge/rendering-and-dynamics.md.
Shared rules
- Keep mode-specific code, tests, manifests, and outputs separate. Share only stable utilities and contracts.
- Preserve verified source intent and non-target dimensions. A successful file write is not a visual or semantic pass.
- Use explicit input/output paths and environment-backed credentials; never embed workstation, mounted-volume, or server paths in committed code.
- Load knowledge/operations-and-knowledge.md only for orchestration, paid calls, knowledge maintenance, or publication.
- Start knowledge lookup at knowledge/index.md; do not load every reference for an ordinary single-mode task.
Package maintenance uses scripts/validate_package.py, not every ordinary launch.
Signals
- GitHub stars
- 75
- Last commit
- Sep 2026
Advanced
- Catalog kind
- skill
- Gateway key
blender-pipeline- Source
- github.com/freedomintelligence/blenderlore