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skills-self-update

Automate skill updates by integrating lessons from issue resolutions and feedback.

1|Updated Mar 7, 2026
Search Tags:#automation#skills#learning#feedback loop#continuous improvement#self-update
One-click install
npx skills add https://github.com/jimmymalhan/codereview-pilot --skill skills-self-update
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: skills-self-update
Source: https://github.com/jimmymalhan/codereview-pilot/tree/main/.claude/skills/skills-self-update
Command: npx skills add https://github.com/jimmymalhan/codereview-pilot --skill skills-self-update

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill automates the process of updating and improving other skills by learning from past issues, fixes, and feedback, ensuring continuous improvement.

Core Features & Use Cases

  • Automated Skill Improvement: Integrates lessons learned from issue resolution directly into relevant skill definitions.
  • Feedback Integration: Incorporates stakeholder and review feedback to refine skill constraints and behaviors.
  • Use Case: After a bug is fixed in the code review process, this skill automatically adds a lesson to the relevant skill's SKILL.md detailing the issue, the fix, and how to prevent recurrence.

Quick Start

Use the skills-self-update skill to add a lesson about a recent fix to the code-review skill.

Frequently Asked Questions about skills-self-update

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate continuous improvement for AI skills using feedback loops?▼

Automating continuous improvement for AI skills involves integrating lessons learned from issue resolutions and stakeholder feedback directly into skill definitions. This creates a feedback loop that systematically incorporates new knowledge to prevent recurring mistakes.

What is the lifecycle of a skill update when automating self-improvement?▼

The skill update lifecycle spans discovery, planning, implementation, verification, and delivery phases. This structured approach ensures updates are systematically managed and verified before changes are applied to skill definitions.

How do I add lessons learned from issue resolution to a skill definition?▼

You add lessons learned by appending details of the issue, the applied fix, and recurrence prevention strategies directly into the relevant skill's SKILL.md file. This ensures the skill retains the new knowledge for future executions.

Can I use automated skill updates for code review processes?▼

Yes, automated skill updates can be applied to code review processes. After a bug is fixed, the system automatically documents the issue and its resolution into the code-review skill definition to prevent similar errors.

What is the best way to keep AI skills current and prevent recurring mistakes?▼

The best way to keep AI skills current is through a continuous improvement process that systematically incorporates feedback and issue fixes into skill definitions. This ensures effective performance and prevents recurring mistakes over time.

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