Use Local Whisper
sbusso/claudeclaw
A skill your agent uses when the user wants local voice transcription instead of OpenAI Whisper API.
Free local speech-to-text for Telegram and WhatsApp using MLX Whisper on Apple Silicon.
$ npx skills add sundial-org/awesome-openclaw-skills --skill whisper-mlx-local -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install sundial-org/awesome-openclaw-skills whisper-mlx-local --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/sundial-org/awesome-openclaw-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/whisper-mlx-local .claude/skills/whisper-mlx-local && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "whisper-mlx-local" agent skill from https://github.com/sundial-org/awesome-openclaw-skills/tree/main/skills/whisper-mlx-local into .claude/skills/whisper-mlx-local/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "whisper-mlx-local", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/sundial-org/awesome-openclaw-skills/tree/main/skills/whisper-mlx-localType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add sundial-org/awesome-openclaw-skills --skill whisper-mlx-local -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install sundial-org/awesome-openclaw-skills whisper-mlx-local --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sundial-org/awesome-openclaw-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/whisper-mlx-local .agents/skills/whisper-mlx-local && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "whisper-mlx-local" agent skill from https://github.com/sundial-org/awesome-openclaw-skills/tree/main/skills/whisper-mlx-local into .agents/skills/whisper-mlx-local/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "whisper-mlx-local", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add sundial-org/awesome-openclaw-skills --skill whisper-mlx-local -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install sundial-org/awesome-openclaw-skills whisper-mlx-local --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sundial-org/awesome-openclaw-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/whisper-mlx-local .cursor/skills/whisper-mlx-local && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "whisper-mlx-local" agent skill from https://github.com/sundial-org/awesome-openclaw-skills/tree/main/skills/whisper-mlx-local into .cursor/skills/whisper-mlx-local/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "whisper-mlx-local", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/sundial-org/awesome-openclaw-skills.git --path skills/whisper-mlx-local--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add sundial-org/awesome-openclaw-skills --skill whisper-mlx-local -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install sundial-org/awesome-openclaw-skills whisper-mlx-local --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sundial-org/awesome-openclaw-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/whisper-mlx-local .gemini/skills/whisper-mlx-local && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "whisper-mlx-local" agent skill from https://github.com/sundial-org/awesome-openclaw-skills/tree/main/skills/whisper-mlx-local into .gemini/skills/whisper-mlx-local/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "whisper-mlx-local", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install sundial-org/awesome-openclaw-skills whisper-mlx-localInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add sundial-org/awesome-openclaw-skills --skill whisper-mlx-local -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/sundial-org/awesome-openclaw-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/whisper-mlx-local .github/skills/whisper-mlx-local && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "whisper-mlx-local" agent skill from https://github.com/sundial-org/awesome-openclaw-skills/tree/main/skills/whisper-mlx-local into .github/skills/whisper-mlx-local/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "whisper-mlx-local", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add sundial-org/awesome-openclaw-skills --skill whisper-mlx-local -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install sundial-org/awesome-openclaw-skills whisper-mlx-local --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sundial-org/awesome-openclaw-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/whisper-mlx-local .opencode/skills/whisper-mlx-local && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "whisper-mlx-local" agent skill from https://github.com/sundial-org/awesome-openclaw-skills/tree/main/skills/whisper-mlx-local into .opencode/skills/whisper-mlx-local/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "whisper-mlx-local", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
whisper-mlx-localFree local speech-to-text for Telegram and WhatsApp using MLX Whisper on Apple Silicon.
Whisper Mlx Local is an agent skill from sundial-org/awesome-openclaw-skills. Free local speech-to-text for Telegram and WhatsApp using MLX Whisper on Apple Silicon. Private, no API costs.
Its SKILL.md is about 740 tokens, which your agent loads only when the skill is triggered. The skill folder holds 8 other files, including scripts (for example `README.md`, `scripts/daemon.py` and `scripts/transcribe.sh`).
It sits in AI & LLM Engineering, covering Speech recognition and synthesis and Transcription. It works with Telegram and WhatsApp. The repository describes itself as: Top OpenClaw skills, with the most popular and useful ones.
4 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit b80cde2. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Ships 5 files in scripts/ (Python and Shell), which the agent can run.
Shell commands in SKILL.md call:
pip3python3curlFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md. Its commands use pip3 and curl, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Whisper Mlx Local loads about 738 tokens when it runs. Until then it costs about 32 tokens; SKILL.md has 212 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.
Without a licence we can't republish the file, so here is its outline and opening line. It has 212 words (~738 tokens).
“Transcribe voice messages for free on Telegram and WhatsApp. No API keys. No costs. Runs on your Mac.”
SKILL.md and 7 other files (scripts) in skills/whisper-mlx-local of sundial-org/awesome-openclaw-skills.
Open the folder on GitHubat commit b80cde2
Whisper Mlx Local next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Whisper Mlx Local this skillsundial-org/awesome-openclaw-skills | 663 | — | ~738 | Automated safety check: Pass | None | |
| Use Local Whispersbusso/claudeclaw | 194 | — | ~1.3k | Automated safety check: Notes | MIT | |
| Yichen Asrmcncarl/yichen-skills | 4.4k | — | ~780 | Automated safety check: Pass | Custom licence | |
| Youtube FetcherJimmySadek/youtube-fetcher-to-markdown | 485 | — | ~3.1k | Automated safety check: Pass | MIT | |
| Volcengine Asrysyecust/lecture-to-notes | 273 | — | ~783 | Automated safety check: Pass | Custom licence | |
| Openai Whisperhuangruiteng/CS-Notes | 4k | 18 repos | ~228 | Automated safety check: Pass | MIT |
sbusso/claudeclaw
A skill your agent uses when the user wants local voice transcription instead of OpenAI Whisper API.
mcncarl/yichen-skills
逸尘自用的统一音视频转写入口,在 StepFun Step ASR 与火山引擎豆包 ASR 之间按输出需求、安全边界和可用状态路由。用于本地音频或视频的纯文本转写、时间戳、SRT 字幕、口播粗剪,以及转写前体检;用户明确指定服务商时不得静默切换。Use when a local audio or video file needs transcription and the correct…
JimmySadek/youtube-fetcher-to-markdown
Retrieve transcripts from YouTube, Instagram, TikTok, X, Vimeo and other video sites, summarize or analyze what was said (and shown on screen), or save an Obsidian-ready Markdown knowledge-base note…
ysyecust/lecture-to-notes
Transcribe local audio or video with Volcengine Doubao file ASR, including BigASR 1.0 Turbo direct upload and asynchronous 1.0 standard, 1.0 idle, or 2.0 standard jobs through TOS.
huangruiteng/CS-Notes
Local speech-to-text with the Whisper CLI (no API key). An agent skill from huangruiteng/CS-Notes.
dosco/aithy
This skill helps an LLM generate correct audio code with @ax-llm/ax.
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Text-to-speech conversion using node-edge-tts npm package for generating audio from text.
Categories
Free local speech-to-text for Telegram and WhatsApp using MLX Whisper on Apple Silicon. Whisper Mlx Local is an agent skill from sundial-org/awesome-openclaw-skills. Free local speech-to-text for Telegram and WhatsApp using MLX Whisper on Apple Silicon.
Whisper Mlx Local fits situations like: tasks that involve Speech recognition and synthesis; tasks that involve Transcription.
Run `npx skills add sundial-org/awesome-openclaw-skills --skill whisper-mlx-local -a claude-code`. Or copy the skill folder (skills/whisper-mlx-local in sundial-org/awesome-openclaw-skills) into .claude/skills/whisper-mlx-local in your project. Claude Code loads it when a task matches its description.
Run `npx skills add sundial-org/awesome-openclaw-skills --skill whisper-mlx-local -a codex`. Or copy the skill folder (skills/whisper-mlx-local in sundial-org/awesome-openclaw-skills) into .agents/skills/whisper-mlx-local in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add sundial-org/awesome-openclaw-skills --skill whisper-mlx-local -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/whisper-mlx-local, .gemini/skills/whisper-mlx-local, .github/skills/whisper-mlx-local and .opencode/skills/whisper-mlx-local in your project.
Going by SKILL.md and its folder, Whisper Mlx Local needs Python and a shell for the scripts in its folder and the command-line tools its instructions call (pip3, python3 and curl). Our summary lists: Python 3; A Bash shell.
SKILL.md contains no URLs. Its commands use curl, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
No licence was found for Whisper Mlx Local or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
About 738 tokens (SKILL.md is roughly 3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Whisper Mlx Local: Use Local Whisper (sbusso/claudeclaw, 194 stars), Yichen Asr (mcncarl/yichen-skills, 4.4k stars), Youtube Fetcher (JimmySadek/youtube-fetcher-to-markdown, 485 stars) and Volcengine Asr (ysyecust/lecture-to-notes, 273 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
sundial-org (a GitHub organization) maintains it in sundial-org/awesome-openclaw-skills, which has 663 GitHub stars. The repository holds 383 skills in this directory. The repository was last updated on March 7, 2026.
Source: sundial-org/awesome-openclaw-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.