✂️
AutomationShell

Avenox Rough Cut

by avenoxai

Avenox Rough Cut is an Automation skill for Claude Code, published by avenoxai in avenoxskills.

37 stars1 forkson avenoxai/avenoxskillsAdded 2026/08/11+37% in starsRepository updated 2026/08/08
agent-skillsai-agentsclaudeclaude-codecodexllm-toolsvideo-pipeline
Install in seconds
Install Avenox Rough Cut
Copy Avenox Rough Cut into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.
terminal
npx degit https://github.com/avenoxai/avenoxskills/tree/main/skills/avenox-roughcut ~/.claude/skills/avenox-roughcut

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/avenoxai/avenoxskills.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file
skills/avenox-roughcut/SKILL.md in avenoxai/avenoxskills
Installs to
~/.claude/skills/avenox-roughcut
Collection
One of 10 skills cataloged from this repository
Category
Automation1523 skills

What Avenox Rough Cut does

Automates rough cut of talking-head or screen recordings by removing silence and flubs/retakes using a transcript-driven pipeline; use when you need to cut dead air and bad takes.

Avenox Rough Cut is cataloged under Automation on DirSkills. Avenox Rough Cut comes from a repository tagged agent-skills, ai-agents, claude, claude-code and codex.

Documentation

README

Rough cut — transcript-driven (silence + flubs)

Two kinds of cut: silence (dead air, mechanical → auto-editor) and flubs/retakes (a restarted sentence, semantic → transcript + agent judgment). The director approves the flub list before anything is cut.

Pipeline

Job dir (LOCAL — never inside a synced/cloud folder): $STUDIO_JOBS/<job>/{raw,cut,transcript,frames}

Set STUDIO_JOBS to wherever you keep heavy media, e.g. export STUDIO_JOBS=~/video/projects. Keeping media out of a synced folder matters: cloud sync will thrash on multi-GB intermediates.

1. Transcribe (local mlx-whisper — Apple Silicon)

This is the opening of the README. Read the full README on GitHub.

Frequently asked about Avenox Rough Cut

  • What else does avenoxai publish alongside Avenox Rough Cut?

    Avenox Rough Cut is one of 10 skills that DirSkills catalogs from avenoxai/avenoxskills, the repository it ships in. Its siblings there include Avenox Graphics, Avenox Video and Chainscan. Each one is a separate skill with its own page in this directory, installs the same way Avenox Rough Cut does, and is maintained by avenoxai in that same repository. The rest of the collection is listed on the avenoxai/avenoxskills page.

  • How does Avenox Rough Cut compare to other Automation skills?

    Avenox Rough Cut ranks #1449 by stars among the 1523 Automation skills in this catalog. The most-starred ones next to it are Autonomous Loops, Autonomous Agent Harness and Automation Audit Ops. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Avenox Rough Cut against them. Open each page to compare what they document and how they install.

More from avenoxai/avenoxskills

Avenox Rough Cut is one of 10 skills cataloged on DirSkills from avenoxai/avenoxskills.

See all 10 skills
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Avenox Video

A local-first video production pipeline for YouTube, using open-source tools (auto-editor, MLX-Whisper, MLT/melt, ffmpeg) and HyperFrames for motion graphics. Use when you need to edit, caption, score, assemble, or render a long-form video.
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371
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Chainscan

Query any major EVM chain's block explorer via the Etherscan V2 unified API. Look up contract ABI/source, transactions, receipts, logs, balances, token info, and verify contracts across 60+ chains.
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371
🚀
3w ago

Codex Fleet

Executes Codex CLI tasks, generates images with gpt-image-2, and orchestrates parallel fleets of codex delegates for high-throughput AI-driven code work and asset creation.
AI Engineering
371
🎛️
3w ago

Fable Orchestration

Delegation policy for agent stacks with a scarce main model and cheaper delegates. Routes context-gathering to Opus, implementation to Codex, and reserves judgment for the main loop. Use when spawning sub-agents or planning fleet work.
AI Engineering
371
🔄
3w ago

GPT Pro Handoff

A disciplined workflow for sending coding tasks and audits to non-agentic frontier reasoning models (like GPT Pro) and verifying results against the live codebase before implementing. Use when you need deep reasoning on a static code snapshot.
AI Engineering
371