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qvac Skill

AI Agent SkillCode & Developer ToolsTypeScriptOpen source

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/sdk

Client 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

Cursor

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.

Trust signal
90/100
Maintenance signal
90/100
Adoption signal
62/100

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.

npxCursorHTTPSSE
  • 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

TypeScriptNode.jsApache-2.0 licenseAPI key requiredNo authAPI key requiredNo authLocal filesNetwork 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.

Write actionsRead-only modeFilesystem accessNetwork accessCredentials requiredCan write or update dataAPI key required authenticationHosted or remote

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

TypeScriptNode.jsnpxCursorHTTPSSE

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.

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