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Backend Compression

Checked
workshop-ventures·vlatest·backend·MIT

Reduces backend data transfer size using optimized encoding techniques, improving application speed and reducing costs.

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add workshop-ventures/skills --skill backend-compression -a claude-code
  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

workshop-ventures

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.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

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 workshop-ventures/skills at 3cce58d9c1.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Scanned
1 file, 111 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

This skill enables AI agents to compress data on the backend, reducing storage space and improving transmission efficiency. It specifically handles compression tasks without requiring user interaction or complex configurations. The agent can automatically determine appropriate compression algorithms for various file types and data structures.

When to use it

  • Reducing database size: Compress large text fields in a database to save storage costs.
  • Optimizing API responses: Compress data sent from an API server to clients, improving response times.
  • Archiving old logs: Automatically compress log files before archiving them for long-term storage.
  • Shrinking media assets: Compress image or video files stored on a backend server.

Key capabilities

  • Automated compression algorithm selection
  • Backend data compression
  • File type agnostic compression
  • No user configuration required

Example prompts

  • "Compress the 'customer_feedback' table in the database."
  • "Reduce the size of all log files older than 30 days."
  • "Compress API responses containing product details."

Tips & gotchas

The skill operates on backend data and requires appropriate permissions to access and modify databases or file systems. Ensure the AI agent has sufficient privileges before deploying this skill in a production environment.