tasteforge-video
Use for file-driven multimodal image, video, and 3D-asset discovery; taste interviews; distill or apply workflows; style-pack validation; editable EDL/FCPXML export; provenance audits; and offline planning that must fail closed before provider generation.
Target: Design & content creation. Automatically collected · unverified.
Excerpt from the author’s documentation
Extracted from a fixed version of SKILL.md in its original language. This is the author’s documentation; installation, compatibility and runtime results have not been verified by this site.
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Topics in the source
- TasteForge Video
- When to Use
- Local Deterministic Operations vs Provider Generation
- Canonical Implementation
- Chaining the Creative Skills
- Workflow
- Applying Real Footage Without Repeated Sources
- File-Driven Multimodal Contract
For the complete standalone creative pipeline, use taste-distillation then taste-application. Those ECC skills ship their Python scripts directly: measure references, generate or pass through existing takes, grade, cut, composite, verify, and hand off to Blender and Resolve. No separate video repository is required for that flow. This skill documents ECC's packaged offline engine and its strict evidence contract. TasteForge turns "make it feel like this reference" into a repeatable, inspectable workflow: interview taste, distill it into a structured style pack, validate the pack, apply its measured cadence and look to local media, and export an editable timeline. The canonical implementation is the tasteforge package shipped inside ECC at skills/taste-application/scripts/tasteforge/. Ito-Markets/ito-video is an example project that consumes the packaged ECC engine. The user asks to interview for video taste before any footage is made ("ask me about the look", "interview me about aesthetic direction"). The user wants to distill an aesthetic into structured constraints — a reusable style pack rather than vibes ("turn these references into a pack"). The user wants to validate a style
This is an excerpt. Refer to the complete source and its current requirements.
- Source repository
- affaan-m/ECC
- Source file
- skills/tasteforge-video/SKILL.md
- Fixed revision
- d2ef2680594f9a17526a6e1a2e18b3d242c5d17b
Requirements
- Only the author’s Skill metadata is included. Read the full instructions to check dependencies, licensing and conditions of use.
A small first task
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This record was collected automatically. Its documentation, suitability and runtime behavior have not been manually verified.
Author: affaan-m/ECC · original repository metadata. Documentation review: Not reviewed. Last source check: 2026-11-09T16:01:00.612Z.
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License and attribution
MIT. Third-party content and copyright remain with their authors. Refer to the original license and terms.
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