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Local STT (Nvidia Parakeet + Whisper Support)

Local STT with selectable backends - Parakeet (best accuracy) or Whisper (fastest, multilingual).

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High Signal

Local STT with selectable backends - Parakeet (best accuracy) or Whisper (fastest, multilingual).

⬇ 0 downloads β˜… 0 stars Unverified but indexed

Install for OpenClaw

Quick setup
  1. Download the package from Yavira.
  2. Extract the archive and review SKILL.md first.
  3. Import or place the package into your OpenClaw setup.

Requirements

Target platform
OpenClaw
Install method
Manual import
Extraction
Extract archive
Prerequisites
OpenClaw
Primary doc
SKILL.md

Package facts

Download mode
Yavira redirect
Package format
ZIP package
Source platform
Tencent SkillHub
What's included
scripts/local-stt.py, SKILL.md

Validation

  • Use the Yavira download entry.
  • Review SKILL.md after the package is downloaded.
  • Confirm the extracted package contains the expected setup assets.

Install with your agent

Agent handoff

Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.

  1. Download the package from Yavira.
  2. Extract it into a folder your agent can access.
  3. Paste one of the prompts below and point your agent at the extracted folder.
New install

I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.

Upgrade existing

I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.

Trust & source

Release facts

Source
Tencent SkillHub
Verification
Indexed source record
Version
1.0.0

Documentation

ClawHub primary doc Primary doc: SKILL.md 7 sections Open source page

Local STT (Parakeet / Whisper)

Unified local speech-to-text using ONNX Runtime with int8 quantization. Choose your backend: Parakeet (default): Best accuracy for English, correctly captures names and filler words Whisper: Fastest inference, supports 99 languages

Usage

# Default: Parakeet v2 (best English accuracy) ~/.openclaw/skills/local-stt/scripts/local-stt.py audio.ogg # Explicit backend selection ~/.openclaw/skills/local-stt/scripts/local-stt.py audio.ogg -b whisper ~/.openclaw/skills/local-stt/scripts/local-stt.py audio.ogg -b parakeet -m v3 # Quiet mode (suppress progress) ~/.openclaw/skills/local-stt/scripts/local-stt.py audio.ogg --quiet

Options

-b/--backend: parakeet (default), whisper -m/--model: Model variant (see below) --no-int8: Disable int8 quantization -q/--quiet: Suppress progress --room-id: Matrix room ID for direct message

Parakeet (default backend)

ModelDescriptionv2 (default)English only, best accuracyv3Multilingual

Whisper

ModelDescriptiontinyFastest, lower accuracybase (default)Good balancesmallBetter accuracylarge-v3-turboBest quality, slower

Benchmark (24s audio)

Backend/ModelTimeRTFNotesWhisper Base int80.43s0.018xFastestParakeet v2 int80.60s0.025xBest accuracyParakeet v3 int80.63s0.026xMultilingual

openclaw.json

{ "tools": { "media": { "audio": { "enabled": true, "models": [ { "type": "cli", "command": "~/.openclaw/skills/local-stt/scripts/local-stt.py", "args": ["--quiet", "{{MediaPath}}"], "timeoutSeconds": 30 } ] } } } }

Category context

Agent frameworks, memory systems, reasoning layers, and model-native orchestration.

Source: Tencent SkillHub

Largest current source with strong distribution and engagement signals.

Package contents

Included in package
1 Docs1 Scripts
  • SKILL.md Primary doc
  • scripts/local-stt.py Scripts