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Self Improvement

Checked
pskoett·vlatest·agents

This skill helps your agent learn and adapt by analyzing its performance, boosting its capabilities and effectiveness over time.

Repository

Install on your platform

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

Installs under a different name. Its SKILL.md names it self-improving-agent, not the name it is listed under, so the command below uses that name.
  1. 1

    Run this in your project

    terminal
    $ npx skills add pskoett/self-improving-agent --skill self-improving-agent -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

pskoett

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 pskoett/self-improving-agent at b889ef0724.

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

Commit
b889ef0724
Manifest
self-improving-agent/SKILL.md
Scanned
14 files, 3,086 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 iteratively refine their own performance through feedback and analysis. It supports continuous learning, allowing agents to adjust strategies based on outcomes, improve decision-making over time, and adapt to new challenges autonomously.

When to use it

  • When you want an agent to learn from its mistakes in a dynamic environment.
  • To optimize long-term goals by refining approaches through repeated trials.
  • In scenarios where the problem space evolves, requiring adaptive solutions.
  • For tasks that benefit from iterative improvements, such as strategy development or complex planning.

Key capabilities

  • Self-assessment based on performance metrics
  • Iterative learning and adaptation
  • Feedback-driven optimization of strategies
  • Autonomous refinement of decision-making processes

Example prompts

  • "Improve your task completion rate by analyzing past failures."
  • "Adjust your approach to this challenge based on previous results."
  • "Refine your strategy for achieving long-term goals through continuous feedback."

Tips & gotchas

  • Ensure the agent has access to clear performance metrics for effective self-assessment.
  • Limit the scope of self-improvement tasks to avoid overfitting or unnecessary complexity.