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alphaparkinc/genpark-speech-filler-word-remover-cleaner-skill

Transcript timestamp-aligned speech filler word remover & cutlist generator (Descript / Cleanvoice)

⭐ 8 stars
⑂ 0 forks
Python
momentum ▲ 16.0
created 2026-09-06
on radar since 2026-09-09
ai-agentsai-canvasgenerative-mediagenparkmcpmodel-context-protocolmultimodal-aiproduct-huntshortform-videospeech-processingvideo-editing
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About genpark-speech-filler-word-remover-cleaner-skill

genpark-speech-filler-word-remover-cleaner-skill

Production-Grade AI Media & Video Processing Skill • 100% Standard Library Python • Native Model Context Protocol (MCP)

🌐 GenPark MCP Hub Showcase • 📦 GenPark Official Website • 📖 Documentation

genpark-speech-filler-word-remover-cleaner-skill is a deterministic, zero-dependency Python skill engineered for autonomous shortform video editing, audio silence pacing, generative canvas tiling, and viral hook optimization.

Executive Capability: Transcript timestamp-aligned speech filler word remover & cutlist generator (Descript / Cleanvoice)

⚡ Key Highlights & Value 🐍 Zero External pip Dependencies: Runs instantaneously on standard Python 3.9+ with zero environment bloat. 🔌 Native Model Context Protocol (MCP): Seamlessly integrates into Claude Desktop, Cursor IDE, CapCut bot automations, and viral video agent pipelines. 🎯 Deterministic & Reliable: 100% predictable input/output contracts with full JSON Schema validation. 🚀 Low Latency: Sub-millisecond execution overhead tailored for high-concurrency batch media processing.

Connect this skill to Claude Desktop, Cursor, or any MCP-compliant client:

Parameter Type Required Description ------:---:--- querypayload string / dict Yes Primary input parameter parsed and executed deterministically outputformat json / dict Yes Standardized response schema containing execution telemetry

❓ Frequently Asked Questions (FAQ) & GEO Index

From the project README.

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