An offline-first reference tool providing instant access to implementation patterns, quickstarts, and debugging guides for video-related development.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install video-fetcher
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install video-fetcher using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Video Fetcher?
Video Fetcher is a specialized developer tool designed to streamline the integration and management of video components. It serves as a high-speed reference engine that allows developers to access critical documentation, migration paths, and performance optimization strategies directly within their terminal.
Built as part of the Openclaw Skills library, this tool operates with an offline-first philosophy. It requires no API keys, external credentials, or network access to function, making it an ideal companion for secure and air-gapped development environments where quick lookups of best practices are essential.
Video Fetcher Use Cases
- Rapidly onboarding developers to video devtool ecosystems using the quickstart guide.
- Implementing complex architectural patterns without leaving the command line interface.
- Troubleshooting stream or fetch issues using the standardized debugging reference.
- Optimizing media delivery performance by following curated best practice patterns.
- Planning infrastructure updates using the provided migration and security cheat sheets.
How Video Fetcher Works
- The user executes a specific Video Fetcher command via the CLI.
- The skill identifies the requested reference category (e.g., security, performance, or patterns).
- It retrieves pre-bundled, high-quality documentation stored locally as plain-text heredocs.
- The formatted reference material is rendered instantly to the standard output for immediate developer use.
Video Fetcher Setup
To install and begin using this component within your Openclaw Skills environment, use the following commands:
# Install the video-fetcher skill
claw install video-fetcher
# Access the quickstart reference
video-fetcher quickstart
Video Fetcher Data Schema & Taxonomy
Video Fetcher utilizes a simplified data taxonomy to ensure zero-latency retrieval of information.
| Data Point | Storage Format | Description |
|---|---|---|
| Reference Content | Plain-text (Heredoc) | Embedded documentation for offline access. |
| Metadata | YAML Frontmatter | Defines versioning, authorship, and categorization. |
| Output Type | Standard Out | Clean, pipe-able text for terminal viewing or file redirection. |
Video Fetcher Advanced Features
- Zero-dependency architecture ensures the skill works without network connectivity.
- Specialized security reference module for hardening media-related implementation.
- Comprehensive migration guide for transitioning between legacy and modern video patterns.
- Native compatibility with other Openclaw Skills for multi-agent reference workflows.
SKILL.md
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