Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub Β· AI
Local Whisper
Install and use whisper.cpp (local, free/offline speech-to-text) with OpenClaw. Supports downloading different ggml model sizes (tiny/base/small/medium/large...
skill openclawclawhub Free
Install and use whisper.cpp (local, free/offline speech-to-text) with OpenClaw. Supports downloading different ggml model sizes (tiny/base/small/medium/large...
β¬ 0 downloads β
0 stars Unverified but indexed
Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- bin/openclaw-whisper-stt.sh, scripts/patch_openclaw_audio.sh, scripts/cleanup_build.sh, scripts/install_wrapper.sh, scripts/install_whisper_cpp.sh, scripts/download_models.sh
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.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- 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
- 1.0.2
Provenance
- Publisher
- TrueNight
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
whisper-cpp (Local Whisper STT for OpenClaw)
This skill sets up local whisper.cpp STT for inbound Telegram voice notes.
Dependencies
You need build tools (git, cmake, compiler toolchain) + curl and ffmpeg (to decode Telegram OGG/Opus β WAV).
Install
From this skill directory: bash scripts/install_whisper_cpp.sh bash scripts/download_models.sh bash scripts/install_wrapper.sh bash scripts/patch_openclaw_audio.sh Send a Telegram voice note to test.
Model choice
This setup uses ggml Whisper models stored in ~/.cache/whisper. Common model names you can download: tiny, base, small, medium large-v1, large-v2, large-v3 (bigger/slower, usually more accurate) By default we download: base + small. To download specific models: bash scripts/download_models.sh tiny base small For the OpenClaw wrapper, you can select: OPENCLAW_WHISPER_MODEL=small openclaw-whisper-stt /path/to/audio Default language: auto-detect (OPENCLAW_WHISPER_LANG=auto) Force a language (example): OPENCLAW_WHISPER_LANG=en openclaw-whisper-stt /path/to/audio Models are stored in: ~/.cache/whisper.
Cleanup (optional)
After install (whisper-cli + libs are in ~/.local/): bash scripts/cleanup_build.sh
Troubleshooting
Confirm OpenClaw is using the wrapper: which openclaw-whisper-stt openclaw config get tools.media.audio.models Test the wrapper directly: openclaw-whisper-stt /path/to/audio.ogg OPENCLAW_WHISPER_MODEL=small openclaw-whisper-stt /path/to/audio.ogg Follow gateway logs while sending a Telegram voice note: openclaw logs --follow
Files
Wrapper source: bin/openclaw-whisper-stt.sh (linked to ~/.local/bin/openclaw-whisper-stt) OpenClaw config patcher: scripts/patch_openclaw_audio.sh
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
6 Scripts
- bin/openclaw-whisper-stt.sh
- scripts/cleanup_build.sh
- scripts/download_models.sh
- scripts/install_whisper_cpp.sh
- scripts/install_wrapper.sh
- scripts/patch_openclaw_audio.sh