Optimize AI Skills with Evolve: Enhance Execution & Feedback
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Optimize AI Skills with Evolve: Enhance Execution & Feedback
Evolve is designed to refine a single AI coding skill, utilizing its execution records and user feedback to identify and implement evidence-driven improvements. This functionality is applicable when the existing skill reveals inefficient processes or has a potential for improved execution paths.
What this skill does
Identifies a target AI skill for improvement, analyzing associated execution records and feedback from users.
Evaluates instructions, linked resources, and user interactions to confirm the skill usage and to identify any discrepancies across different executions.
Presents localized changes based on evidence, ensuring the essential quality and purpose of the skill are retained while incorporating the smallest necessary improvements.
Facilitates communication in the user’s language to ensure clear understanding and adoption of suggested changes.
Who it is for
This skill is intended for developers and teams utilizing AI coding agents like Claude Code, Cursor, and Codex who aim to improve the functionality of existing agent skills through a methodical analysis of past executions and user feedback.
Use cases
A developer identifies recurrent failures in an AI agent's task execution and uses Evolve to systematically address these issues.
A team utilizing AI to automate coding tasks reviews user feedback to enhance the efficiency and success rates of critical skills.
Identifying the need for improvement after noticing redundant user rework during agent operations and making necessary adjustments.
Technical details
Utilizes capabilities and tools such as agent-skills, aiapplication, and evolve for effective skill optimization.
Focuses on maintaining the functional integrity of the target skill while employing evidence-backed changes.
Ensures alignment with the intended quality requirements and user expectations without introducing extraneous alterations.
Source & Licence
This package is built on open-source work published by boaz-hwang (boaz-hwang/skilloom) and distributed under MIT. The original licence text and copyright notice are included in your download.
Personal and commercial use, modification and redistribution are permitted, provided the original copyright and licence notice are retained.
Your purchase covers curation, licence verification, packaging, documentation and instant delivery. It does not grant exclusive rights to the underlying open-source code, which remains available under its original licence.
Delivery & Support
Delivery: instant — a secure download link is emailed to you as soon as payment is confirmed.
Format: ZIP archive containing the skill files, documentation and the original licence.
Updates: updates are included only where stated on this page.
Refunds
This is a digital product delivered immediately after purchase. By completing your order you request immediate delivery and acknowledge that, once the download has been accessed, the statutory right to cancel no longer applies to the extent permitted by law. Refund requests are handled in accordance with our published Refund Policy.
Claude, Codex, Gemini and Cursor are trademarks of their respective owners. MCP Cart is an independent marketplace and is not affiliated with, endorsed by, or sponsored by any of them. Compatibility references describe interoperability only.