← Back to Skills Marketplace
Social Video Resizer
by
LeroyCreates
· GitHub ↗
· v1.0.0
· MIT-0
165
Downloads
0
Stars
0
Active Installs
1
Versions
Install in OpenClaw
/install social-video-resizer
Description
Adapt one social video into platform-ready aspect ratios and dimensions for TikTok, Reels, Shorts, feeds, stories, and ads without awkward stretching or lost...
Usage Guidance
This skill is an instruction-only recipe for producing platform-ready video variants and is internally coherent, but consider the following before use: (1) Clarify where processing occurs — local machine, hosted service, or third-party API — and avoid uploading sensitive footage to unknown endpoints. (2) Confirm which tools will actually perform the resize (e.g., ffmpeg or an editing service) and whether those tools require installation or credentials. (3) Limit the agent's file access to only the source video(s) needed and verify outputs are stored where you expect. (4) If you need automated processing, ask the skill author or integrator to provide an explicit, auditable implementation that documents any network endpoints, binaries used, and data retention policy. These checks will reduce privacy and data-exfiltration risk.
Capability Analysis
Type: OpenClaw Skill
Name: social-video-resizer
Version: 1.0.0
The skill bundle is a set of instructions and templates designed to guide an AI agent in resizing social media videos for different platforms (TikTok, Reels, etc.). It contains no executable code, shell commands, network requests, or suspicious prompt-injection attempts, and its content is entirely consistent with its stated purpose in SKILL.md and references/output-template.md.
Capability Assessment
Purpose & Capability
Name, description, and required inputs (source video, target platforms, priority areas) align with a video-resizing/adaptation helper. It does not request unrelated credentials, binaries, or config paths.
Instruction Scope
SKILL.md contains focused, high-level workflow steps (decide crop/pad/scale, protect faces/subtitles, output versions). It does not instruct reading unrelated files or env vars. Note: it is procedural guidance only and does not specify tools or where processing happens (local vs remote), so implementers must decide how to run the transforms.
Install Mechanism
No install spec and no code files — instruction-only — so nothing is written to disk or downloaded during install.
Credentials
No environment variables, credentials, or config paths are requested. The declared inputs are proportional to the task (a source video and resize targets).
Persistence & Privilege
always is false and the skill is user-invocable; it does not request permanent presence or change other skills' configs. Autonomous invocation is allowed by default but not combined with other red flags.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install social-video-resizer - After installation, invoke the skill by name or use
/social-video-resizer - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release
Metadata
Frequently Asked Questions
What is Social Video Resizer?
Adapt one social video into platform-ready aspect ratios and dimensions for TikTok, Reels, Shorts, feeds, stories, and ads without awkward stretching or lost... It is an AI Agent Skill for Claude Code / OpenClaw, with 165 downloads so far.
How do I install Social Video Resizer?
Run "/install social-video-resizer" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Social Video Resizer free?
Yes, Social Video Resizer is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Social Video Resizer support?
Social Video Resizer is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Social Video Resizer?
It is built and maintained by LeroyCreates (@leooooooow); the current version is v1.0.0.
More Skills