# asr

> asr — ilyakam-asr. Use this tool when you need to transcribe spoken language into text quickly and accurately, solving problems such as converting audio recordings to written format, generating captions for videos, or enabling voice-controlled applications. It takes audio input and produces text output, allowing for efficient and cost-effective transcription. Ideal for use cases where fast and accurate speech-to-text conversion is required, such as podcast transcription, voice note taking, or subtitling.

Canonical page: https://skillsregistry.net/skills/ilyakam-asr  
JSON: https://api.skillsregistry.net/v1/skills/ilyakam-asr

## Description

Fast, accurate, and incredibly inexpensive automatic speech-to-text.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** other
- **Updated:** 2026-09-26

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/ilyakam-asr)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "ilyakam-asr"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ilyakam-asr` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ilyakam-asr/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt