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Context Optimization

Checked
bilalmk·vlatest·ai-ml

Dynamically refines prompt context using Bilalmk's techniques to improve AI response accuracy and relevance.

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 bilalmk/todo_correct --skill context-optimization -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

bilalmk

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 bilalmk/todo_correct at 8b43aa04bd.

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

Scanned
4 files, 850 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 optimizes the context provided to an AI agent. It aims to improve response quality and relevance by strategically managing and refining the information available during interactions. The skill helps agents focus on pertinent details while filtering out noise, leading to more accurate and efficient outputs.

When to use it

  • Complex tasks requiring specific knowledge: When a task demands detailed understanding of a subject matter, this skill ensures only relevant context is considered.
  • Reducing hallucination: By providing clear and concise context, the agent is less likely to invent information.
  • Improving response accuracy in long conversations: This helps maintain focus on previous turns and avoids drifting off-topic.
  • Managing large documents or datasets: When working with extensive material, this skill can extract key information for focused processing.

Key capabilities

  • Context filtering
  • Relevant information extraction
  • Noise reduction
  • Focus maintenance

Example prompts

  • "Optimize the following text for a summary: [long document]"
  • "Refine the context before answering this question: [question] and [relevant background info]"
  • "Ensure only these details are considered when generating a response: [list of key points]"

Tips & gotchas

The effectiveness of this skill depends on providing high-quality, relevant initial context. It's most useful when the agent is already struggling with information overload or irrelevant data.