qvac Skill
qvac is a TypeScript AI agent skill for Cursor with npx. QVAC - Local AI SDK and libraries for building private, cross-platform, peer-to-peer AI applications. Run LLMs, speech-to-text, translation, and more locally on Linux, macOS, Windows, Android, and iOS.
How to use qvac Skill
Install or run
npm install @qvac/sdkClient configuration
{
"samples": [
{
"file": "neural_sample_0.bin",
"timesteps": 910,
"channels": 512,
"expected_text": "You can see the code at this point as well.",
"day_idx": 1,
"bci_transcription": "you can see the good at this point as well",
"bci_wer_vs_expected": null,
"bci_wer": 0.1
},
{
"file": "neural_sample_1.bin",
"timesteps": 749,
"channels": 512,
"expected_text": "How does it keep the cost down?",
"day_idx": 1,
"bci_transcription": "how does it keep the cost said",
"bci_wer_vs_expected": null,
"bci_wer": 0.1429
},
{
"file": "neural_sample_2.bin",
"timesteps": 502,
"channels": 512,
"expected_text": "Not too controversial.",
"day_idx": 1,
"bci_transcription": "not too controversial",
"bci_wer_vs_expected": null,
"bci_wer": 0.0
},
{
"file": "neural_sample_3.bin",
"timesteps": 962,
"channels": 512,
"expected_text": "The jury and a judge work together on it.",
"day_idx": 1,
"bci_transcription": "the jury and a judge work together on it",
"bci_wer_vs_expected": null,
"bci_wer": 0.0
},
{
"file": "neural_sample_4.bin",
"timesteps": 584,
"channels": 512,
"expected_text": "Were quite vocal about it.",
"day_idx": 1,
"bci_transcription": "we're quite vocal about it",
"bci_wer_vs_expected": null,
"bci_wer": 0.2
}
]
}
Compatible clients
What is qvac Skill?
qvac is a TypeScript AI agent skill for Cursor with npx. QVAC - Local AI SDK and libraries for building private, cross-platform, peer-to-peer AI applications. Run LLMs, speech-to-text, translation, and more locally on Linux, macOS, Windows, Android, and iOS. This profile combines repository metadata with install, compatibility, and usage signals so developers can quickly decide whether it fits their agent workflow before opening the source repository.
Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement.
Key capabilities
- Reusable instructions support
- Includes SKILL.md support
- Shell commands support
- Browser use support
- Document generation support
- OpenAI provider support
- Anthropic provider support
Technical details
Install or run qvac using npx. Check tetherto/qvac for the latest setup command.
- Built for TypeScript
- Built for Node.js
- Install or run with npx
- Works with Cursor
- Uses HTTP transport
- Uses SSE transport
- API key required
- No auth
Requirements and access
Security and permissions
Review permissions before connecting any MCP server to an agent. Pay special attention to whether it can read local files, write data, call external services, or perform destructive actions.
When to use qvac Skill
- Use it for reusing agent instructions, scripts, and references.
- Use it for agent skills workflows.
- Use it for coding workflows.
- Use it for data workflows.
- Use it for cursor users.
Built with
Explore related resources
Frequently asked questions
What is qvac?
qvac is a TypeScript AI agent skill for Cursor with npx. QVAC - Local AI SDK and libraries for building private, cross-platform, peer-to-peer AI applications. Run LLMs, speech-to-text, translation, and more locally on Linux, macOS, Windows, Android, and iOS.
Who is qvac best for?
qvac is best for reusing agent instructions, scripts, and references, agent skills workflows, coding workflows, data workflows, cursor users.
How do I install qvac?
Install or run qvac using npx. Check qvac for the latest setup command.
Is qvac actively maintained?
qvac may need a closer maintenance check before production use.
Auto-fetched from GitHub.