An AI-powered skill that aggregates real-time speech-to-text streams and re-writes them into polished, written-form documents or translations upon completion.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install shumianyu
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install shumianyu using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
This skill processes raw Automatic Speech Recognition (ASR) data streams by buffering segments and delaying output until a session is finalized. Instead of producing real-time, fragmented subtitles, it provides a cohesive, grammatically correct written transcript. By leveraging Openclaw Skills, developers can integrate high-quality post-processing for voice inputs, ensuring that oral fillers, repetitions, and self-corrections are removed to create professional-grade documentation.
To integrate this functionality into your environment, use the standard deployment method for Openclaw Skills:
# Install the skill via the CLI
openclaw install asr-written-rewriter-stream
Configure your environment variables to specify your preferred LLM provider for the rewriting and translation tasks. Ensure your upstream ASR provider is configured to send a finalization flag to trigger the processing logic.
The skill organizes its processing using a structured input schema to ensure accuracy:
| Field | Description | Requirement |
|---|---|---|
| chunk_text | The latest segment of text from the ASR engine | Required |
| target_language | The language code for optional translation | Optional |
| domain_lexicon | A list of specialized terms, names, or jargon | Optional |
| is_session_final | Boolean flag indicating the end of the stream | Required |
| recent_context | Previous segments used to improve rewriting accuracy | Optional |
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