Skip to content
TrustedSkillsbeta
Back to all skills

Self Improving Agent

Checked
kimasplund·vlatest·agents·MIT

Continuously refines its problem-solving abilities through iterative learning and data analysis for optimal task performance.

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 kimasplund/clawdbot-skills-pack --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

kimasplund

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 kimasplund/clawdbot-skills-pack at e02f6ec9c4.

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

Scanned
4 files, 862 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 allows an AI agent to learn from its interactions and improve over time. It dynamically adjusts the agent's behavior based on feedback, leading to more effective task completion. The self-improvement mechanism adapts internal parameters without requiring explicit retraining or code modifications.

When to use it

  • Complex workflows: When your agent needs to handle nuanced tasks with evolving requirements.
  • User feedback loops: To refine the agent's responses and actions based on user input and ratings.
  • Adapting to new data: Enable the agent to learn from newly available information without manual updates.
  • Long-running tasks: For agents that operate continuously, allowing them to optimize their performance over extended periods.

Key capabilities

  • Dynamic behavior adjustment
  • Feedback integration
  • Parameter optimization
  • Autonomous learning

Example prompts

  • "Agent, please summarize this article and then improve your summarization technique based on my feedback."
  • “Can you draft an email to a client? After I review it, learn from any changes I make.”
  • "Analyze these customer reviews and adjust your approach to handling similar inquiries in the future."

Tips & gotchas

The skill's effectiveness depends on consistent and clear feedback. Ensure that the agent receives sufficient data and guidance for meaningful learning; otherwise, improvements may be minimal or even detrimental.