Video Understand
calesthio/OpenMontage
Understand video content locally using ffmpeg frame extraction and Whisper transcription.
Video editing with ffmpeg including cutting, trimming, concatenating segments, and re-encoding.
Install Ffmpeg Video Editing
$ npx skills add benchflow-ai/skillsbench --skill ffmpeg-video-editing -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install benchflow-ai/skillsbench ffmpeg-video-editing --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/benchflow-ai/skillsbench.git skills-src && mkdir -p .claude/skills && cp -r skills-src/tasks-extra/video-filler-word-remover/environment/skills/ffmpeg-video-editing .claude/skills/ffmpeg-video-editing && rm -rf skills-srcUse ~/.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/
Install the "ffmpeg-video-editing" agent skill from https://github.com/benchflow-ai/skillsbench/tree/main/tasks-extra/video-filler-word-remover/environment/skills/ffmpeg-video-editing into .claude/skills/ffmpeg-video-editing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ffmpeg-video-editing", 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 install https://github.com/benchflow-ai/skillsbench/tree/main/tasks-extra/video-filler-word-remover/environment/skills/ffmpeg-video-editingType 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.
$ npx skills add benchflow-ai/skillsbench --skill ffmpeg-video-editing -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install benchflow-ai/skillsbench ffmpeg-video-editing --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/benchflow-ai/skillsbench.git skills-src && mkdir -p .agents/skills && cp -r skills-src/tasks-extra/video-filler-word-remover/environment/skills/ffmpeg-video-editing .agents/skills/ffmpeg-video-editing && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "ffmpeg-video-editing" agent skill from https://github.com/benchflow-ai/skillsbench/tree/main/tasks-extra/video-filler-word-remover/environment/skills/ffmpeg-video-editing into .agents/skills/ffmpeg-video-editing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ffmpeg-video-editing", 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.
$ npx skills add benchflow-ai/skillsbench --skill ffmpeg-video-editing -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install benchflow-ai/skillsbench ffmpeg-video-editing --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/benchflow-ai/skillsbench.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/tasks-extra/video-filler-word-remover/environment/skills/ffmpeg-video-editing .cursor/skills/ffmpeg-video-editing && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "ffmpeg-video-editing" agent skill from https://github.com/benchflow-ai/skillsbench/tree/main/tasks-extra/video-filler-word-remover/environment/skills/ffmpeg-video-editing into .cursor/skills/ffmpeg-video-editing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ffmpeg-video-editing", 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 https://github.com/benchflow-ai/skillsbench.git --path tasks-extra/video-filler-word-remover/environment/skills/ffmpeg-video-editing--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add benchflow-ai/skillsbench --skill ffmpeg-video-editing -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install benchflow-ai/skillsbench ffmpeg-video-editing --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/benchflow-ai/skillsbench.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/tasks-extra/video-filler-word-remover/environment/skills/ffmpeg-video-editing .gemini/skills/ffmpeg-video-editing && rm -rf skills-srcUse ~/.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/
Install the "ffmpeg-video-editing" agent skill from https://github.com/benchflow-ai/skillsbench/tree/main/tasks-extra/video-filler-word-remover/environment/skills/ffmpeg-video-editing into .gemini/skills/ffmpeg-video-editing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ffmpeg-video-editing", 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.
$ gh skill install benchflow-ai/skillsbench ffmpeg-video-editingInstalls 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).
$ npx skills add benchflow-ai/skillsbench --skill ffmpeg-video-editing -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/benchflow-ai/skillsbench.git skills-src && mkdir -p .github/skills && cp -r skills-src/tasks-extra/video-filler-word-remover/environment/skills/ffmpeg-video-editing .github/skills/ffmpeg-video-editing && rm -rf skills-srcUse ~/.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/
Install the "ffmpeg-video-editing" agent skill from https://github.com/benchflow-ai/skillsbench/tree/main/tasks-extra/video-filler-word-remover/environment/skills/ffmpeg-video-editing into .github/skills/ffmpeg-video-editing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ffmpeg-video-editing", 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.
$ npx skills add benchflow-ai/skillsbench --skill ffmpeg-video-editing -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install benchflow-ai/skillsbench ffmpeg-video-editing --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/benchflow-ai/skillsbench.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/tasks-extra/video-filler-word-remover/environment/skills/ffmpeg-video-editing .opencode/skills/ffmpeg-video-editing && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "ffmpeg-video-editing" agent skill from https://github.com/benchflow-ai/skillsbench/tree/main/tasks-extra/video-filler-word-remover/environment/skills/ffmpeg-video-editing into .opencode/skills/ffmpeg-video-editing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ffmpeg-video-editing", 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
ffmpeg-video-editing- GitHub stars
- 1.8k
- Token cost
- ~952 tokens
- SKILL.md length
- 122 words
- Files
- 1
- Skills in repo
- 189
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
Video editing with ffmpeg including cutting, trimming, concatenating segments, and re-encoding.
- Works in 3 steps: Calculate the "keep" segments (inverse… → Extract each keep segment → Concatenate all keep segments
- Working with video files (.mp4
- SKILL.md covers Cutting Video Segments, Concatenating Multiple Segments, Removing Multiple Segments… and Common Issues
- Calls ffmpeg and ffprobe
What it does
Ffmpeg Video Editing is an agent skill from benchflow-ai/skillsbench. Video editing with ffmpeg including cutting, trimming, concatenating segments, and re-encoding. Use when working with video files (.mp4, .mkv, .avi) for: removing segments, joining clips, extracting portions, or any video manipulation task.
Its SKILL.md is about 950 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
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
- Working with video files (.mp4
- .avi) for: removing segments
- Extracting portions
- Any video manipulation task
Example prompts
- “/ffmpeg-video-editing”
Requirements
- Python 3
Workflow steps
3 steps, taken from the first numbered list in SKILL.md.
- Calculate the "keep" segments (inverse of remove segments)
- Extract each keep segment
- Concatenate all keep segments
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
Shell commands in SKILL.md call:
ffmpegffprobe
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
Ffmpeg Video Editing loads about 952 tokens when it runs. Until then it costs about 65 tokens; SKILL.md has 122 words of instructions outside code blocks.
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); files beside SKILL.md are not scanned.
SKILL.md
The full file from benchflow-ai/skillsbench at commit 9a1f4dd, republished under its Apache-2.0 licence (© benchflow-ai). 122 words, ~952 tokens.
Download SKILL.mdSave it as
.claude/skills/ffmpeg-video-editing/SKILL.md (or your agent's skills folder).- name
- ffmpeg-video-editing
- description
- Video editing with ffmpeg including cutting, trimming, concatenating segments, and re-encoding. Use when working with video files (.mp4, .mkv, .avi) for: removing segments, joining clips, extracting portions, or any video manipulation task.
FFmpeg Video Editing
Cutting Video Segments
Extract a portion (keep segment)
# Extract from start_time to end_time
ffmpeg -i input.mp4 -ss START -to END -c copy output.mp4
# With re-encoding for frame-accurate cuts
ffmpeg -i input.mp4 -ss START -to END -c:v libx264 -c:a aac output.mp4Remove a segment (cut out middle)
To remove a segment, split into parts and concatenate:
# 1. Extract before the cut
ffmpeg -i input.mp4 -to CUT_START -c copy part1.mp4
# 2. Extract after the cut
ffmpeg -i input.mp4 -ss CUT_END -c copy part2.mp4
# 3. Concatenate
ffmpeg -f concat -safe 0 -i filelist.txt -c copy output.mp4Concatenating Multiple Segments
Using concat demuxer (recommended for same-codec files)
Create a file list (segments.txt):
file 'segment1.mp4'
file 'segment2.mp4'
file 'segment3.mp4'Then concatenate:
ffmpeg -f concat -safe 0 -i segments.txt -c copy output.mp4Using filter_complex (for re-encoding)
ffmpeg -i seg1.mp4 -i seg2.mp4 -i seg3.mp4 \
-filter_complex "[0:v][0:a][1:v][1:a][2:v][2:a]concat=n=3:v=1:a=1[v][a]" \
-map "[v]" -map "[a]" output.mp4Removing Multiple Segments (Batch)
For removing many short segments (like filler words), the efficient approach:
- Calculate the "keep" segments (inverse of remove segments)
- Extract each keep segment
- Concatenate all keep segments
import subprocess
import os
def remove_segments(input_file, segments_to_remove, output_file):
"""
segments_to_remove: list of (start, end) tuples in seconds
"""
# Get video duration
result = subprocess.run([
'ffprobe', '-v', 'error', '-show_entries', 'format=duration',
'-of', 'default=noprint_wrappers=1:nokey=1', input_file
], capture_output=True, text=True)
duration = float(result.stdout.strip())
# Sort segments and merge overlapping
segments = sorted(segments_to_remove)
# Calculate keep segments (gaps between remove segments)
keep_segments = []
current_pos = 0.0
for start, end in segments:
if start > current_pos:
keep_segments.append((current_pos, start))
current_pos = max(current_pos, end)
if current_pos < duration:
keep_segments.append((current_pos, duration))
# Extract each keep segment
temp_files = []
for i, (start, end) in enumerate(keep_segments):
temp_file = f'/tmp/seg_{i:04d}.mp4'
subprocess.run([
'ffmpeg', '-y', '-i', input_file,
'-ss', str(start), '-to', str(end),
'-c', 'copy', temp_file
], check=True)
temp_files.append(temp_file)
# Create concat list
list_file = '/tmp/concat_list.txt'
with open(list_file, 'w') as f:
for temp_file in temp_files:
f.write(f"file '{temp_file}'\n")
# Concatenate
subprocess.run([
'ffmpeg', '-y', '-f', 'concat', '-safe', '0',
'-i', list_file, '-c', 'copy', output_file
], check=True)
# Cleanup
for f in temp_files:
os.remove(f)
os.remove(list_file)Common Issues
Audio/Video sync problems
- Use
-c copyonly when cutting at keyframes - For precise cuts, re-encode:
-c:v libx264 -c:a aac
Gaps or glitches at cut points
- Ensure segments don't overlap
- Small buffer (0.01s) between segments can help
Getting video duration
ffprobe -v error -show_entries format=duration -of default=noprint_wrappers=1:nokey=1 input.mp4© benchflow-ai, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in tasks-extra/video-filler-word-remover/environment/skills/ffmpeg-video-editing of benchflow-ai/skillsbench.
Open the folder on GitHubat commit 9a1f4dd
Compare with similar skills
Ffmpeg Video Editing 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Ffmpeg Video Editing this skillbenchflow-ai/skillsbench | 1.8k | — | ~952 | Automated safety check: Pass | Apache-2.0 | |
| Video Understandcalesthio/OpenMontage | 66k | — | ~841 | Automated safety check: Pass | AGPL-3.0 | |
| HyperFrames Video Entry Pointheygen-com/hyperframes | 59k | 3 repos | ~5.2k | Automated safety check: Pass | Apache-2.0 | |
| Video Shotseternityspring/reelbench-skills | 872 | 1 repos | ~1.8k | Automated safety check: Notes | Apache-2.0 | |
| Mobile Demo Film Editorsuperset-sh/superset | 15k | — | ~1.8k | Automated safety check: Pass | Custom licence | |
| Video Editcalesthio/OpenMontage | 66k | — | ~855 | Automated safety check: Notes | AGPL-3.0 |
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Edits real mobile screen recordings into a configurable demo video with phone framing, title cards, cutaways and an end card, using a bundled renderer.
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Works with
Categories
Questions about Ffmpeg Video Editing
What does Ffmpeg Video Editing do?
Video editing with ffmpeg including cutting, trimming, concatenating segments, and re-encoding. Ffmpeg Video Editing is an agent skill from benchflow-ai/skillsbench. Video editing with ffmpeg including cutting, trimming, concatenating segments, and re-encoding.
When should I use Ffmpeg Video Editing?
Ffmpeg Video Editing fits situations like: working with video files (.mp4; .avi) for: removing segments; extracting portions; any video manipulation task.
How do I install Ffmpeg Video Editing in Claude Code?
Run `npx skills add benchflow-ai/skillsbench --skill ffmpeg-video-editing -a claude-code`. Or copy the skill folder (tasks-extra/video-filler-word-remover/environment/skills/ffmpeg-video-editing in benchflow-ai/skillsbench) into .claude/skills/ffmpeg-video-editing in your project. Claude Code loads it when a task matches its description.
How do I install Ffmpeg Video Editing in Codex?
Run `npx skills add benchflow-ai/skillsbench --skill ffmpeg-video-editing -a codex`. Or copy the skill folder (tasks-extra/video-filler-word-remover/environment/skills/ffmpeg-video-editing in benchflow-ai/skillsbench) into .agents/skills/ffmpeg-video-editing in your project. Codex loads it when a task matches its description.
Can I use Ffmpeg Video Editing 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 ffmpeg-video-editing -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/ffmpeg-video-editing, .gemini/skills/ffmpeg-video-editing, .github/skills/ffmpeg-video-editing and .opencode/skills/ffmpeg-video-editing in your project.
What does Ffmpeg Video Editing need to run?
Going by SKILL.md and its folder, Ffmpeg Video Editing needs the command-line tools its instructions call (ffmpeg and ffprobe). Our summary lists: Python 3.
Does Ffmpeg Video Editing 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 Ffmpeg Video Editing 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. Review the folder before installing.
What licence does Ffmpeg Video Editing use?
Ffmpeg Video Editing 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 Ffmpeg Video Editing use?
About 952 tokens (SKILL.md is roughly 3.8k 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 Ffmpeg Video Editing?
Skills that share tags, products or a category with Ffmpeg Video Editing: Video Understand (calesthio/OpenMontage, 66k stars), HyperFrames Video Entry Point (heygen-com/hyperframes, 59k stars), Video Shots (eternityspring/reelbench-skills, 872 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 Ffmpeg Video Editing?
benchflow-ai (a GitHub organization) maintains it in benchflow-ai/skillsbench, which has 1,834 GitHub stars. The repository holds 189 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.