Whisper Speech Recognition
Orchestra-Research/AI-Research-SKILLs
Transcribes audio with OpenAI's Whisper: 99 languages, translation to English, language detection, six model sizes and word-level timestamps, from Python or the CLI.
本地录音转文字工具。当用户发送已有录音、音频或视频文件，并希望把语音转成 Markdown 文稿和 SRT 字幕时使用。Apple Silicon 优先用 MLX/Apple GPU 和 whisper-large-v3-turbo-q4，本地转写，不生成 txt/json/vtt，不用于现场临时录音，也不默认调用云端语音识别服务。
Install Local Audio Transcriber
$ npx skills add chujianyun/skills --skill local-audio-transcriber -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install chujianyun/skills local-audio-transcriber --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/chujianyun/skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/local-audio-transcriber .claude/skills/local-audio-transcriber && 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 "local-audio-transcriber" agent skill from https://github.com/chujianyun/skills/tree/main/skills/local-audio-transcriber into .claude/skills/local-audio-transcriber/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "local-audio-transcriber", 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/chujianyun/skills/tree/main/skills/local-audio-transcriberType 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 chujianyun/skills --skill local-audio-transcriber -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install chujianyun/skills local-audio-transcriber --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/chujianyun/skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/local-audio-transcriber .agents/skills/local-audio-transcriber && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "local-audio-transcriber" agent skill from https://github.com/chujianyun/skills/tree/main/skills/local-audio-transcriber into .agents/skills/local-audio-transcriber/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "local-audio-transcriber", 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 chujianyun/skills --skill local-audio-transcriber -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install chujianyun/skills local-audio-transcriber --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/chujianyun/skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/local-audio-transcriber .cursor/skills/local-audio-transcriber && 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 "local-audio-transcriber" agent skill from https://github.com/chujianyun/skills/tree/main/skills/local-audio-transcriber into .cursor/skills/local-audio-transcriber/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "local-audio-transcriber", 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/chujianyun/skills.git --path skills/local-audio-transcriber--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 chujianyun/skills --skill local-audio-transcriber -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install chujianyun/skills local-audio-transcriber --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/chujianyun/skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/local-audio-transcriber .gemini/skills/local-audio-transcriber && 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 "local-audio-transcriber" agent skill from https://github.com/chujianyun/skills/tree/main/skills/local-audio-transcriber into .gemini/skills/local-audio-transcriber/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "local-audio-transcriber", 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 chujianyun/skills local-audio-transcriberInstalls 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 chujianyun/skills --skill local-audio-transcriber -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/chujianyun/skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/local-audio-transcriber .github/skills/local-audio-transcriber && 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 "local-audio-transcriber" agent skill from https://github.com/chujianyun/skills/tree/main/skills/local-audio-transcriber into .github/skills/local-audio-transcriber/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "local-audio-transcriber", 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 chujianyun/skills --skill local-audio-transcriber -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install chujianyun/skills local-audio-transcriber --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/chujianyun/skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/local-audio-transcriber .opencode/skills/local-audio-transcriber && 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 "local-audio-transcriber" agent skill from https://github.com/chujianyun/skills/tree/main/skills/local-audio-transcriber into .opencode/skills/local-audio-transcriber/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "local-audio-transcriber", 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.
Facts
- Skill name
local-audio-transcriber- GitHub stars
- 742
- Token cost
- ~1k tokens
- SKILL.md length
- 178 words
- Files
- 3 (incl. scripts)
- Skills in repo
- 35
- Repo updated
- First seen
- Licence
- Custom licence
At a glance
本地录音转文字工具。当用户发送已有录音、音频或视频文件，并希望把语音转成 Markdown 文稿和 SRT 字幕时使用。Apple Silicon 优先用 MLX/Apple GPU 和 whisper-large-v3-turbo-q4，本地转写，不生成 txt/json/vtt，不用于现场临时录音，也不默认调用云端语音识别服务。
- Works in 7 steps: 确认用户提供的是可访问的本地音频/视频文件路径或附件。 → 先判断机器类型和可用引擎 → Apple Silicon（M1/M2/M3/M4）优先安装并使用… → …
- Tasks that involve Speech recognition and synthesis
- SKILL.md covers 适用边界, 工作流程, 常用命令 and 参数取舍, plus 2 more sections
- Runs Python scripts from its folder; calls python3 and python
What it does
Local Audio Transcriber is an agent skill from chujianyun/skills. 本地录音转文字工具。当用户发送已有录音、音频或视频文件，并希望把语音转成 Markdown 文稿和 SRT 字幕时使用。Apple Silicon 优先用 MLX/Apple GPU 和 whisper-large-v3-turbo-q4，本地转写，不生成 txt/json/vtt，不用于现场临时录音，也不默认调用云端语音识别服务。
Its SKILL.md is about 1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including scripts (for example `agents/openai.yaml` and `scripts/transcribe.py`).
It sits in AI & LLM Engineering, covering Speech recognition and synthesis. It works with Whisper and Python. The repository describes itself as: WuMing's Claude Skills.
When your agent uses it
- Tasks that involve Speech recognition and synthesis
Example prompts
- “/local-audio-transcriber”
Requirements
- Python 3
Workflow steps
7 steps, taken from the first numbered list in SKILL.md.
- 确认用户提供的是可访问的本地音频/视频文件路径或附件。
- 先判断机器类型和可用引擎
- Apple Silicon（M1/M2/M3/M4）优先安装并使用 MLX，本地调用 Apple GPU/统一内存
- 非 Apple Silicon、CUDA 机器或 MLX 不可用时，再使用 faster-whisper
- 运行转写脚本，中文录音优先指定 --language zh；不确定语言时省略语言参数
- 向用户直接发送转写文本。文本很长时，优先交付本地文件路径，并贴出开头和关键说明。
- 默认只保存 .md 和 .srt 文件；不要生成 txt、json 或 vtt。
What it can do on your machine
Read from SKILL.md and the folder at commit 13b27aa. It shows what the files ask for, not the result of running them.
Tool permissions
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.
Runs code
Ships 1 file in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
python3python
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Local Audio Transcriber loads about 1k tokens when it runs. Until then it costs about 48 tokens; SKILL.md has 178 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.
Safety
Auto-check passed
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.
SKILL.md
Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 178 words (~1,005 tokens).
- name
- local-audio-transcriber
Files
SKILL.md and 2 other files (scripts) in skills/local-audio-transcriber of chujianyun/skills.
- SKILL.md
- agents/openai.yaml
- scripts/transcribe.py
Open the folder on GitHubat commit 13b27aa
Compare with similar skills
Local Audio Transcriber 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 |
|---|---|---|---|---|---|---|
| Local Audio Transcriber this skillchujianyun/skills | 742 | — | ~1k | Automated safety check: Pass | Custom licence | |
| Whisper Speech RecognitionOrchestra-Research/AI-Research-SKILLs | 13k | 7 repos | ~1.9k | Automated safety check: Notes | MIT | |
| Deepgram Audio Intelligence for Pythondeepgram/deepgram-python-sdk | 469 | — | ~2.3k | Automated safety check: Pass | MIT | |
| Agentstadaspetra/loop | 296 | 1 repos | ~2.5k | Automated safety check: Pass | MIT | |
| Deepgram Flux Conversational STTdeepgram/deepgram-python-sdk | 469 | — | ~1.8k | Automated safety check: Pass | MIT | |
| Local Asrysyecust/lecture-to-notes | 273 | — | ~1.6k | Automated safety check: Pass | Custom licence |
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Questions about Local Audio Transcriber
What does Local Audio Transcriber do?
本地录音转文字工具。当用户发送已有录音、音频或视频文件，并希望把语音转成 Markdown 文稿和 SRT 字幕时使用。Apple Silicon 优先用 MLX/Apple GPU 和 whisper-large-v3-turbo-q4，本地转写，不生成 txt/json/vtt，不用于现场临时录音，也不默认调用云端语音识别服务。. Local Audio Transcriber is an agent skill from chujianyun/skills.
When should I use Local Audio Transcriber?
Local Audio Transcriber fits situations like: tasks that involve Speech recognition and synthesis.
How do I install Local Audio Transcriber in Claude Code?
Run `npx skills add chujianyun/skills --skill local-audio-transcriber -a claude-code`. Or copy the skill folder (skills/local-audio-transcriber in chujianyun/skills) into .claude/skills/local-audio-transcriber in your project. Claude Code loads it when a task matches its description.
How do I install Local Audio Transcriber in Codex?
Run `npx skills add chujianyun/skills --skill local-audio-transcriber -a codex`. Or copy the skill folder (skills/local-audio-transcriber in chujianyun/skills) into .agents/skills/local-audio-transcriber in your project. Codex loads it when a task matches its description.
Can I use Local Audio Transcriber in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add chujianyun/skills --skill local-audio-transcriber -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/local-audio-transcriber, .gemini/skills/local-audio-transcriber, .github/skills/local-audio-transcriber and .opencode/skills/local-audio-transcriber in your project.
What does Local Audio Transcriber need to run?
Going by SKILL.md and its folder, Local Audio Transcriber needs Python for the scripts in its folder and the command-line tools its instructions call (python3 and python). Our summary lists: Python 3.
Does Local Audio Transcriber access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Local Audio Transcriber safe to install?
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.
What licence does Local Audio Transcriber use?
Local Audio Transcriber has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.
How many tokens does Local Audio Transcriber use?
About 1k tokens (SKILL.md is roughly 4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Local Audio Transcriber?
Skills that share tags, products or a category with Local Audio Transcriber: Whisper Speech Recognition (Orchestra-Research/AI-Research-SKILLs, 13k stars), Deepgram Audio Intelligence for Python (deepgram/deepgram-python-sdk, 469 stars), Agents (tadaspetra/loop, 296 stars) and Deepgram Flux Conversational STT (deepgram/deepgram-python-sdk, 469 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Local Audio Transcriber?
chujianyun (a GitHub user) maintains it in chujianyun/skills, which has 742 GitHub stars. The repository holds 35 skills in this directory. The repository was last updated on October 9, 2026.
Source: chujianyun/skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.