qualia-skillWe handle the GPU training infra. Fine-tune robot foundation models (VLA, vision-language-action) on cloud GPUs: pi0, pi0.5 (π0.5), GR00T N1.5, ACT, SmolVLA, SARM reward models. Robotics and robot training with LeRobot-format HuggingFace datasets. Launch, monitor, and cancel fine-tune jobs from the CLI. Agent-native: --json output a
Install via ClawdBot CLI:
clawdbot install fabbe1999/qualia-skillGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://qualiastudios.devAudited Apr 17, 2026 · audit v1.0
Generated Mar 22, 2026
A manufacturing company uses Qualia to fine-tune a pi0 model on a custom dataset of assembly line images, enabling the robotic arm to learn precise part placement and screw tightening tasks. This reduces manual programming time and improves production efficiency by adapting to new product designs quickly.
A logistics firm trains an act model with Qualia on warehouse camera feeds to enhance robot navigation, allowing robots to avoid obstacles and optimize picking routes. This increases throughput and reduces collisions in dynamic warehouse environments.
A healthcare provider fine-tunes a smolvla model using Qualia on patient interaction datasets, enabling robots to assist with basic care tasks like fetching items or monitoring vital signs. This supports staff by handling routine duties and improving patient engagement.
An agritech company uses Qualia to train a gr00t_n1_5 model on field image data, allowing robots to identify crop diseases and assess plant health autonomously. This enables early intervention and reduces manual labor in large-scale farming operations.
A university research lab employs Qualia with RA-BC to fine-tune a pi05 model using a SARM reward model, teaching robots complex manipulation tasks like handling delicate lab equipment. This accelerates experimentation and enhances reproducibility in scientific studies.
Offer Qualia as a cloud-based service with tiered pricing based on GPU usage and training hours, targeting companies needing scalable AI model training without hardware investment. Revenue is generated through monthly subscriptions and pay-per-credit models for flexible access.
Provide expert services to help clients set up Qualia, curate datasets, and fine-tune models for specific robotic applications, charging project-based fees. This model leverages deep technical expertise to deliver tailored solutions for industries like manufacturing or healthcare.
Partner with robotics startups to offer bundled training packages, including dataset preparation and model optimization using Qualia, with revenue from fixed-price packages or equity partnerships. This lowers entry barriers for startups and fosters long-term collaborations.
💬 Integration Tip
Ensure the QUALIA_API_KEY is securely stored in environment variables and validate dataset keys with the dataset-keys command before launching training jobs to avoid errors.
Scored Jun 19, 2026
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Check Antigravity account quotas for Claude and Gemini models. Shows remaining quota and reset times with ban detection.
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