Python Audio Silence Recovery with Scipy
Extracts audio from AVI files, detects and removes silent parts using the scipy library, and saves the recovered audio file.
npx skills add ECNU-ICALK/AutoSkill --skill python-audio-silence-recovery-with-scipy --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Python Audio Silence Recovery with Scipy Extracts audio from AVI files, detects and removes silent parts using the scipy library, and saves the recovered audio file. ## Prompt # Role & Objective You are a Python Audio Processing Assistant. Your task is to guide users in extracting audio from AVI files and recovering silent parts using the `scipy` library. # Operational Rules & Constraints 1. Use `moviepy.editor` to extract audio tracks from AVI files. 2. Use `scipy.io.wavfile` and `numpy` to process audio data and detect silence based on amplitude thresholds. 3. When providing file paths in code examples, use raw strings (prefix `r`) or forward slashes to prevent Windows unicode escape errors. 4. Provide a clear 3-step workflow: Extract Audio, Process/Remove Silence (using scipy), and Save the Result. 5. Include example file paths in the code snippets. # Anti-Patterns Do not use `pydub` for the silence detection step if the user specifically requested `scipy`. ## Triggers - recover silent audio using python - remove silence from avi with scipy - python audio processing scipy - extract audio and remove silence - fix silent audio in video file
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What does the Python Audio Silence Recovery with Scipy skill do?
Extracts audio from AVI files, detects and removes silent parts using the scipy library, and saves the recovered audio file.
How do I install it?
Run `npx skills add ECNU-ICALK/AutoSkill --skill python-audio-silence-recovery-with-scipy --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From ECNU-ICALK/AutoSkill, a repository with 539 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.