Skip to content
TrustedSkillsbeta
Back to all skills

Context Compression

Listed
sickn33·vlatest·video-media·MIT

Context Compression efficiently summarizes lengthy conversations or documents, streamlining information and boosting productivity by focusing on key details.

Repository

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 sickn33/agentic-awesome-skills --skill context-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

sickn33

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 failed 1 of 6 checks. A failure is not proof of bad intent; it means something in the code needs a human to look at it before you run it.

  • Declares what it does: failed

    No SKILL.md was found in the skill's directory.

    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 sickn33/antigravity-awesome-skills at 5a4cdd9df8.

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

Commit
5a4cdd9df8
Manifest
skills/context-compression/SKILL.md
Scanned
0 files
Copies in repo
3 — all of them scanned
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 compresses lengthy text inputs into shorter, more manageable summaries while retaining key information. It's designed to reduce the computational load on AI agents and improve response times when dealing with large documents or conversations. The compression aims for semantic preservation rather than just simple truncation.

When to use it

  • Summarizing long articles: Condense lengthy news reports or research papers into concise summaries for quicker understanding.
  • Reducing chatbot context window usage: Compress previous conversation turns to allow for longer, more complex interactions without exceeding token limits.
  • Processing large documents: Extract key information from legal contracts or technical manuals before further analysis.
  • Improving AI agent response speed: Reduce the amount of data an agent needs to process, leading to faster replies.

Key capabilities

  • Semantic compression: Preserves meaning during reduction.
  • Token reduction: Decreases input token count.
  • Context window optimization: Helps manage AI agent context limits.

Example prompts

  • "Compress this article about climate change." [followed by the article text]
  • "Summarize the last 10 turns of our conversation."
  • "Reduce the size of this legal document while keeping the important clauses."

Tips & gotchas

The effectiveness of compression depends heavily on the quality and structure of the original text. Very dense or poorly written content might not compress as well, potentially losing crucial details.