Video generation, editing, and analysis
Video Processing enables agents to generate videos from text, edit existing videos, extract frames, and analyze video content. Build agents that create marketing videos, tutorials, or process video content at scale.
Low blast radius on the evidence available, but it is still third-party code — a quick look at the SKILL.md costs nothing.
Nothing in this listing indicates that it needs credentials, host access or outbound network calls. That is not a guarantee — it only means the listing does not say so.
These permissions are inferred from this listing — the credentials it declares, any maintainer warning, and the operations its own description mentions. ClawVault has not audited this skill's source code. Treat it as a starting point for your own review, not a substitute for one.
An OpenClaw skill is a directory containing a SKILL.md file: Markdown with YAML frontmatter. At startup OpenClaw scans the eligible skill directories and injects a compressed description of each skill into its system prompt, so the agent knows what it can do and invokes a skill when a request matches.
openclaw skills search video-processingClawHub is the public registry for OpenClaw skills. Searching first gives you the exact owner-qualified reference, which is what the install command needs. Omit the query to browse the default feed.
openclaw skills verify @<owner>/video-processingverify prints ClawHub's verification envelope, including its scan decision and, when available, a commit-pinned source URL. Add --card to read the generated Skill Card instead. Substitute the owner handle returned by the search above.
openclaw skills install @<owner>/video-processingNative ClawHub skills use an @owner/slug reference. By default this installs into the active workspace skills/ directory; add --global to install into the shared managed directory instead. You can also install from Git with git:owner/repo, or from a local folder with ./path.
openclaw skills checkcheck reports which ready skills are actually visible to the agent's prompt surface, which is the quickest way to catch a skill that installed but did not load.
Commands follow the official OpenClaw documentation. Placeholders such as <owner> are filled in by the search step, because registry references are publisher-scoped.
Added text-to-video, improved editing tools, faster processing
Since February 2026 ClawHub screens submitted skills with VirusTotal: each bundle is hashed and looked up, new bundles are scanned with Code Insight, and results drive an approve, warn or block decision with daily re-scanning. This materially reduces supply-chain risk but does not eliminate it, and independent research has found that different scanners frequently disagree about the same skill. Read the SKILL.md of anything you install, especially if it requests shell access or credentials.
Deploy OpenClaw, Hermes, or PicoClaw on Bluehost with the right template for the job.
Capability Evolver is the most downloaded skill on ClawHub with over 35,000 installs and it earns that position. It is a meta-skill that lets your OpenClaw agent analyse its own runtime history, identify failures or inefficiencies, and autonomously update its approach to improve performance over time. If a task fails three times in a row, Evolver detects the pattern and either creates a workaround or adjusts the agent's behaviour without you doing anything. Think of it as a personal trainer running silently in the background. Over weeks of use the improvement is measurable — faster task completion, fewer retries, more accurate outputs.
GOG is the go-to Google Workspace skill on ClawHub with over 14,000 downloads and the most complete implementation available. A single installation gives your OpenClaw agent full access to Gmail, Google Calendar, Google Drive, Google Docs, Google Sheets and Google Contacts through one consistent connection. Instead of installing and configuring five separate Google skills, GOG handles all of them through a unified OAuth flow. For anyone whose work life runs through Google Workspace, this skill transforms OpenClaw into a genuine productivity assistant.
Memory LanceDB is OpenClaw's vector-based long-term memory plugin and one of the most impactful skills you can add to any agent running 24/7 on a VPS. Unlike basic memory that stores conversation history as flat text, LanceDB uses vector embeddings to store and retrieve memories semantically — meaning your agent can recall relevant past context even when you phrase a question differently. Every task, preference, outcome and piece of information your agent encounters gets stored and becomes searchable. The longer the agent runs the more useful it becomes.