Ffmpeg Video Editor
CheckedPrecisely trim, merge, resize, and convert videos using ffmpeg commands through this powerful editing tool.
Install on your platform
Showing Claude Code. One command installs this skill into any of the agents below.
- 1
Run this in your project
terminal$ npx skills add sundial-org/awesome-openclaw-skills --skill ffmpeg-video-editor -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto install it for your user instead of this project.
What we know about this skill
Publisher
sundial-org
Taken from the source listing. We haven't verified who controls this account.
Install target
Live repository
Not pinned. Installing fetches whatever the repository holds at the time you run the command.
Automated safety checks
This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.
Declares what it does: passed
SKILL.md parses and declares a name and a description.
SKILL.md exists, its frontmatter parses, and it declares a name and a description.
No undeclared network calls: passed
Makes no network calls.
Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.
No obfuscated payloads: passed
No encoded or obfuscated payloads.
No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.
No credential access: passed
Reads no keys, tokens, keychains or credential files.
Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.
No pipe-to-shell installers: passed
No pipe-to-shell or download-and-run installers.
No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.
Pinned to a commit: passed
Scanned sundial-org/awesome-openclaw-skills at b80cde2ef8.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- b80cde2ef8
- Scanned
- 1 file, 328 lines
About this skill
What it does
This skill allows AI agents to manipulate video files using the powerful ffmpeg tool. It can perform tasks such as trimming videos, changing resolutions, and converting between different video formats. The agent can be instructed to apply specific filters or effects to achieve desired visual results.
When to use it
- Creating short clips: Extract a specific segment from a longer video for social media or presentations.
- Resizing videos: Reduce the resolution of a large video file to make it easier to share online or store.
- Converting formats: Change a video's format (e.g., MP4 to MOV) for compatibility with different devices or software.
- Applying basic edits: Adjust brightness, contrast, or apply simple filters to improve the visual quality of a video.
Key capabilities
- Video trimming
- Resolution scaling
- Format conversion
- Basic filtering (brightness, contrast)
Example prompts
- "Trim the video 'my_video.mp4' from 10 seconds to 25 seconds and save it as 'trimmed_video.mp4'."
- "Reduce the resolution of 'high_res_video.mov' to 720p and save it as 'low_res_video.mp4'."
- "Convert 'input.avi' to MP4 format."
Tips & gotchas
- ffmpeg is a command-line tool, so the agent needs access to a shell environment with ffmpeg installed.
- Be specific with your instructions; ffmpeg has many options and parameters that can affect the output.