Self Improvement
This skill helps your agent learn and adapt by analyzing its performance, boosting its capabilities and effectiveness over time.
Install on your platform
We auto-selected Claude Code based on this skill’s supported platforms.
Run in terminal (recommended)
claude mcp add pskoett-self-improvement npx -- -y @trustedskills/pskoett-self-improvement
Or manually add to ~/.claude/settings.json
{
"mcpServers": {
"pskoett-self-improvement": {
"command": "npx",
"args": [
"-y",
"@trustedskills/pskoett-self-improvement"
]
}
}
}Requires Claude Code (claude CLI). Run claude --version to verify your install.
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.
Tags
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Security Audits
| Gen Agent Trust Hub | Pass |
| Socket | Pass |
| Snyk | Pass |
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Passed automated security scans.