Skip to content
TrustedSkillsbeta
Back to all skills

Agent Orchestration Improve Agent

Checked
sickn33·vlatest·agents·MIT

Refines agent workflows and capabilities through iterative feedback loops and automated optimization techniques.

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 agent-orchestration-improve-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

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 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 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/agent-orchestration-improve-agent/SKILL.md
Scanned
1 file, 340 lines
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 allows you to improve the performance of existing AI agents by providing feedback and guidance. It can analyze agent responses, identify areas for improvement, and suggest modifications to prompts or agent configurations. The goal is to iteratively refine agent behavior and achieve more desirable outcomes through targeted adjustments.

When to use it

  • Debugging complex tasks: When an agent struggles with a multi-step task, this skill can help pinpoint the exact point of failure.
  • Refining creative output: If you're using an agent for writing or art generation and want more specific stylistic changes, this skill can guide those adjustments.
  • Improving accuracy in knowledge retrieval: When an agent provides inaccurate information, use this skill to correct its reasoning and improve future responses.
  • Optimizing for efficiency: To reduce the number of calls needed to complete a task, refine prompts with feedback from this skill.

Key capabilities

  • Response analysis
  • Feedback generation
  • Prompt modification suggestions
  • Configuration adjustment recommendations

Example prompts

  • "Analyze the agent's response and suggest improvements for clarity."
  • "The agent made an error in its reasoning; provide feedback to correct it."
  • "Suggest a prompt rewrite that will encourage more concise answers from the agent."

Tips & gotchas

This skill is most effective when used with agents that already have some level of functionality. It requires careful observation and interpretation of the agent's behavior to provide meaningful feedback.