Agent skill

Video Processor

by benchflow-ai in benchflow-ai/skillsbench

Process videos by removing segments and concatenating remaining parts.

Apache-2.0Auto-check passedMedia & Creative

Install Video Processor

skills CLI

$ npx skills add benchflow-ai/skillsbench --skill video-processor -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI

$ gh skill install benchflow-ai/skillsbench video-processor --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy

$ git clone --depth 1 https://github.com/benchflow-ai/skillsbench.git skills-src && mkdir -p .claude/skills && cp -r skills-src/tasks/video-silence-remover/environment/skills/video-processor .claude/skills/video-processor && rm -rf skills-src

Use ~/.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/

Paste into Claude Code

Install the "video-processor" agent skill from https://github.com/benchflow-ai/skillsbench/tree/main/tasks/video-silence-remover/environment/skills/video-processor into .claude/skills/video-processor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "video-processor", 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

$skill-installer install https://github.com/benchflow-ai/skillsbench/tree/main/tasks/video-silence-remover/environment/skills/video-processor

Type 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.

skills CLI

$ npx skills add benchflow-ai/skillsbench --skill video-processor -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install benchflow-ai/skillsbench video-processor --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/benchflow-ai/skillsbench.git skills-src && mkdir -p .agents/skills && cp -r skills-src/tasks/video-silence-remover/environment/skills/video-processor .agents/skills/video-processor && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "video-processor" agent skill from https://github.com/benchflow-ai/skillsbench/tree/main/tasks/video-silence-remover/environment/skills/video-processor into .agents/skills/video-processor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "video-processor", 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.

skills CLI

$ npx skills add benchflow-ai/skillsbench --skill video-processor -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install benchflow-ai/skillsbench video-processor --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/benchflow-ai/skillsbench.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/tasks/video-silence-remover/environment/skills/video-processor .cursor/skills/video-processor && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "video-processor" agent skill from https://github.com/benchflow-ai/skillsbench/tree/main/tasks/video-silence-remover/environment/skills/video-processor into .cursor/skills/video-processor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "video-processor", 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

$ gemini skills install https://github.com/benchflow-ai/skillsbench.git --path tasks/video-silence-remover/environment/skills/video-processor

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add benchflow-ai/skillsbench --skill video-processor -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install benchflow-ai/skillsbench video-processor --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/benchflow-ai/skillsbench.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/tasks/video-silence-remover/environment/skills/video-processor .gemini/skills/video-processor && rm -rf skills-src

Use ~/.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/

Paste into Gemini CLI

Install the "video-processor" agent skill from https://github.com/benchflow-ai/skillsbench/tree/main/tasks/video-silence-remover/environment/skills/video-processor into .gemini/skills/video-processor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "video-processor", 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.

GitHub CLI

$ gh skill install benchflow-ai/skillsbench video-processor

Installs 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).

skills CLI

$ npx skills add benchflow-ai/skillsbench --skill video-processor -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/benchflow-ai/skillsbench.git skills-src && mkdir -p .github/skills && cp -r skills-src/tasks/video-silence-remover/environment/skills/video-processor .github/skills/video-processor && rm -rf skills-src

Use ~/.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/

Paste into GitHub Copilot

Install the "video-processor" agent skill from https://github.com/benchflow-ai/skillsbench/tree/main/tasks/video-silence-remover/environment/skills/video-processor into .github/skills/video-processor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "video-processor", 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.

skills CLI

$ npx skills add benchflow-ai/skillsbench --skill video-processor -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install benchflow-ai/skillsbench video-processor --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/benchflow-ai/skillsbench.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/tasks/video-silence-remover/environment/skills/video-processor .opencode/skills/video-processor && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "video-processor" agent skill from https://github.com/benchflow-ai/skillsbench/tree/main/tasks/video-silence-remover/environment/skills/video-processor into .opencode/skills/video-processor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "video-processor", 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: video-processor
GitHub stars: 1.8k
Token cost: ~802 tokens
SKILL.md length: 215 words
Files: 2 (incl. scripts)
Skills in repo: 178
Repo updated: Jul 23, 2026
First seen: Oct 7, 2026
Licence: Apache-2.0

At a glance

Process videos by removing segments and concatenating remaining parts.

Works in 5 steps: Load removal segments from JSON file(s) → Calculate keep segments (inverse of… → Build ffmpeg filter to trim and… → …
You need to remove detected pauses/openings from videos
SKILL.md covers Use Cases, Usage, How It Works and Dependencies, plus 4 more sections
Runs Python scripts from its folder; calls python3

What it does

Video Processor is an agent skill from benchflow-ai/skillsbench. Process videos by removing segments and concatenating remaining parts. Use when you need to remove detected pauses/openings from videos, create highlight reels, or batch process segment removals using ffmpeg filtercomplex.

Its SKILL.md is about 800 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including scripts (for example `scripts/process_video.py`).

It sits in Media & Creative, covering Video production. It works with FFmpeg. The repository describes itself as: SkillsBench evaluates how well skills work and how effective agents are at using them. The licence is Apache-2.0.

When your agent uses it

You need to remove detected pauses/openings from videos
Create highlight reels
Batch process segment removals using ffmpeg filtercomplex

Example prompts

“/video-processor”

Requirements

Python 3

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

Load removal segments from JSON file(s)
Calculate keep segments (inverse of removal segments)
Build ffmpeg filter to trim and concatenate
Process video using hardware-accelerated encoding
Generate report with statistics

What it can do on your machine

Read from SKILL.md and the folder at commit 9a1f4dd. 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:
- python3
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

Video Processor loads about 802 tokens when it runs. Until then it costs about 60 tokens; SKILL.md has 215 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~60
When it runs · the whole SKILL.md, loaded when a task matches: ~802

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

The full file from benchflow-ai/skillsbench at commit 9a1f4dd, republished under its Apache-2.0 licence (© benchflow-ai). 215 words, ~802 tokens.

Download SKILL.mdSave it as .claude/skills/video-processor/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.

name: video-processor
description: Process videos by removing segments and concatenating remaining parts. Use when you need to remove detected pauses/openings from videos, create highlight reels, or batch process segment removals using ffmpeg filter_complex.

Video Segment Processor

Processes videos by removing specified segments and concatenating the remaining parts. Handles multiple removal segments efficiently using ffmpeg's filter_complex.

Use Cases

Removing detected pauses and openings from videos
Creating highlight reels by keeping only specific segments
Batch processing multiple segment removals

Usage

bash

python3 /root/.claude/skills/video-processor/scripts/process_video.py \
    --input /path/to/input.mp4 \
    --output /path/to/output.mp4 \
    --remove-segments /path/to/segments.json

Parameters

--input: Path to input video file
--output: Path to output video file
--remove-segments: JSON file containing segments to remove

Input Segment Format

json

{
  "segments": [
    {"start": 0, "end": 600, "duration": 600},
    {"start": 610, "end": 613, "duration": 3}
  ]
}

Or multiple segment files:

bash

python3 /root/.claude/skills/video-processor/scripts/process_video.py \
    --input video.mp4 \
    --output output.mp4 \
    --remove-segments opening.json pauses.json

Output

Creates the processed video and a report JSON:

json

{
  "original_duration": 3908.61,
  "output_duration": 3078.61,
  "removed_duration": 830.0,
  "compression_percentage": 21.24,
  "segments_removed": 91,
  "segments_kept": 91
}

How It Works

Load removal segments from JSON file(s)
Calculate keep segments (inverse of removal segments)
Build ffmpeg filter to trim and concatenate
Process video using hardware-accelerated encoding
Generate report with statistics

FFmpeg Filter Example

For 3 segments to keep:

[0:v]trim=start=600:end=610,setpts=PTS-STARTPTS[v0];
[0:a]atrim=start=600:end=610,asetpts=PTS-STARTPTS[a0];
[0:v]trim=start=613:end=1000,setpts=PTS-STARTPTS[v1];
[0:a]atrim=start=613:end=1000,asetpts=PTS-STARTPTS[a1];
[v0][v1]concat=n=2:v=1:a=0[outv];
[a0][a1]concat=n=2:v=0:a=1[outa]

Dependencies

ffmpeg with libx264 and aac support
Python 3.11+

Limitations

Processing time: ~0.3× video duration (e.g., 20 min for 65 min video)
Requires sufficient disk space (output ≈ 70-80% of input size)
May have frame-accurate cuts (not sample-accurate)

Example

bash

# Process video with opening and pause removal
python3 /root/.claude/skills/video-processor/scripts/process_video.py \
    --input /root/lecture.mp4 \
    --output /root/compressed.mp4 \
    --remove-segments /root/opening.json /root/pauses.json

# Result: 65 min → 51 min (21.2% compression)

Performance Tips

Use -preset medium for balanced speed/quality
Use -crf 23 for good quality at reasonable size
Process on machines with 2+ CPU cores for faster encoding

Notes

Preserves video quality using CRF encoding
Maintains audio sync throughout
Handles edge cases (segments at start/end of video)
Generates detailed statistics for verification

Files

SKILL.md and 1 other file (scripts) in tasks/video-silence-remover/environment/skills/video-processor of benchflow-ai/skillsbench.

SKILL.md
scripts/process_video.py

Open the folder on GitHubat commit 9a1f4dd

Compare with similar skills

Video Processor 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.

Video Processor compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Video Processor this skillbenchflow-ai/skillsbench	1.8k	—	~802	Automated safety check: Pass	Apache-2.0	2 mo ago
Video Understandcalesthio/OpenMontage	65k	—	~841	Automated safety check: Pass	AGPL-3.0	4 days ago
Video Shotseternityspring/reelbench-skills	868	2 repos	~1.8k	Automated safety check: Notes	Apache-2.0	16 days ago
HyperFrames Video Entry Pointheygen-com/hyperframes	59k	3 repos	~5.2k	Automated safety check: Pass	Apache-2.0	today
Mobile Demo Film Editorsuperset-sh/superset	15k	—	~1.8k	Automated safety check: Pass	Custom licence	today
Karaoke CaptionsAI-Builder-Club/skills	1.3k	1 repos	~850	Automated safety check: Pass	None	22 days ago

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Questions about Video Processor

What does Video Processor do?

Process videos by removing segments and concatenating remaining parts. Video Processor is an agent skill from benchflow-ai/skillsbench. Process videos by removing segments and concatenating remaining parts.

When should I use Video Processor?

Video Processor fits situations like: you need to remove detected pauses/openings from videos; create highlight reels; batch process segment removals using ffmpeg filtercomplex.

How do I install Video Processor in Claude Code?

Run `npx skills add benchflow-ai/skillsbench --skill video-processor -a claude-code`. Or copy the skill folder (tasks/video-silence-remover/environment/skills/video-processor in benchflow-ai/skillsbench) into .claude/skills/video-processor in your project. Claude Code loads it when a task matches its description.

How do I install Video Processor in Codex?

Run `npx skills add benchflow-ai/skillsbench --skill video-processor -a codex`. Or copy the skill folder (tasks/video-silence-remover/environment/skills/video-processor in benchflow-ai/skillsbench) into .agents/skills/video-processor in your project. Codex loads it when a task matches its description.

Can I use Video Processor 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 benchflow-ai/skillsbench --skill video-processor -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/video-processor, .gemini/skills/video-processor, .github/skills/video-processor and .opencode/skills/video-processor in your project.

What does Video Processor need to run?

Going by SKILL.md and its folder, Video Processor needs Python for the scripts in its folder and the command-line tools its instructions call (python3). Our summary lists: Python 3.

Does Video Processor 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 Video Processor 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 Video Processor use?

Video Processor is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Video Processor use?

About 802 tokens (SKILL.md is roughly 3.2k 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 Video Processor?

Skills that share tags, products or a category with Video Processor: Video Understand (calesthio/OpenMontage, 65k stars), Video Shots (eternityspring/reelbench-skills, 868 stars), HyperFrames Video Entry Point (heygen-com/hyperframes, 59k stars) and Mobile Demo Film Editor (superset-sh/superset, 15k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Video Processor?

benchflow-ai (a GitHub organization) maintains it in benchflow-ai/skillsbench, which has 1,832 GitHub stars. The repository holds 178 skills in this directory. The repository was last updated on July 23, 2026.

Source: benchflow-ai/skillsbench on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.

Install Video Processor

Facts

At a glance

What it does

When your agent uses it

Example prompts

Requirements

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

Video Segment Processor

Use Cases

Usage

Parameters

Input Segment Format

Output

How It Works

FFmpeg Filter Example

Dependencies

Limitations

Example

Performance Tips

Notes

Files

Compare with similar skills

Similar skills

More from benchflow-ai/skillsbench

Related

Questions about Video Processor