evla-vla
EdgeVLA - Open-source edge vision-language-action model for robotics. Standardizes Open-X Embodiment datasets for consistent VLA training and deployment.
npx skills add majiayu000/claude-skill-registry --skill evla-vla --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# EdgeVLA Skill **Trit**: -1 (MINUS - analysis/verification) **Color**: #DBA51D (Golden Yellow) **URI**: skill://evla-vla#DBA51D ## Overview EdgeVLA is an open-source edge vision-language-action model for robotics. It standardizes diverse robotics datasets from the Open-X Embodiment (OXE) collection for consistent training and deployment. ## Architecture ``` ┌────────────────────────────────────────────────────────────────┐ │ EdgeVLA ARCHITECTURE │ ├────────────────────────────────────────────────────────────────┤ │ │ │ ┌──────────────────────────────────────────────────────────┐ │ │ │ Open-X Embodiment Datasets │ │ │ │ ┌─────────┐ ┌─────────┐ ┌─────────┐ ┌─────────┐ │ │ │ │ │ DROID │ │ Bridge │ │ LIBERO │ │ RT-X │ + 60... │ │ │ │ └────┬────┘ └────┬────┘ └────┬────┘ └────┬────┘ │ │ │ └───────┼───────────┼───────────┼───────────┼──────────────┘ │ │ │ │ │ │ │ │ ▼ ▼ ▼ ▼ │ │ ┌──────────────────────────────────────────────────────────┐ │ │ │ OXE_DATASET_CONFIGS Standardization │ │ │ │ • image_obs_keys: primary, secondary, wrist cameras │ │ │ │ • state_encoding: POS_EULER, POS_QUAT, JOINT │ │ │ │ • action_encoding: EEF_POS, JOINT_POS │ │ │ └───────────────────────────────────────────────
- Overview
- Architecture
- Dataset Configuration
- Named Mixtures
- Usage
- Key Contributors
- GF(3) Triads
- Related Skills
- References
- SDF Interleaving
- Primary Chapter: 5. Evaluation
- GF(3) Balanced Triad
- Secondary Chapters
- Connection Pattern
What does the evla-vla skill do?
EdgeVLA - Open-source edge vision-language-action model for robotics. Standardizes Open-X Embodiment datasets for consistent VLA training and deployment.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill evla-vla --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.