tebjan/vvvv-skills
Skills to help AI Agents master the vvvv gamma ecosystem
What's novel
Skills to help AI Agents master the vvvv gamma ecosystem
Code Analysis
12 files read · 3 roundsA curated collection of structured AI agent skills (Markdown knowledge packages) that teach coding assistants expert-level knowledge of the vvvv gamma visual programming environment, covering C# node authoring, shader writing, file format generation, testing, and library packaging.
Strengths
Exceptional depth and accuracy of domain knowledge, with verified API details, decision matrices, common-mistake warnings, and working code examples across 14 specialized skills. The progressive disclosure architecture (metadata → SKILL.md → supporting files) is well-designed for token-efficient agent loading, and cross-references between skills create a coherent knowledge graph.
Weaknesses
No automated tests beyond the CI frontmatter validation script — the accuracy of the extensive API claims (e.g., SmellAttribute behavior, ImportNamespace recursion) is not verified by executable tests. The project is entirely documentation with no executable logic, so traditional software quality metrics (error handling, test coverage) are largely inapplicable.
Score Breakdown
Signal breakdown
Innovation
Craft
Traction
Scope
Evidence
Commits
15
Contributors
3
Files
46
Active weeks
3
Repository
Language
C#
Stars
23
Forks
4
License
NOASSERTION