EvoGraph: AI Agent Skill for Enhanced Weakness Optimization

EvoGraph: AI Agent Skill for Enhanced Weakness Optimization

EvoGraph is an AI agent skill designed for the specific purpose of optimizing weaknesses within development processes using a collaborative weakness-graph approach. This skill operates exclusively in agent mode, leveraging a cap-evolve algorithm to iteratively assess and improve task failures, ensuring robust optimization while maintaining project integrity.

What this skill does

• Initiates a weakness-graph optimization loop, re-evaluating the training split to better cluster task failures.
• Uses a failure clustering process to create a shared "weakness graph" in Obsidian-style markdown format.
• Engages in parallel operations by dispatching solver agents for each identified weakness, each operating in a dedicated Git worktree with tasks specific to that weakness.
• Merges verified improvements to the main branch or reverts a complete cycle in the event of any regression.
• Finalizes the testing phase once predefined conditions are met, generating comprehensive documentation in the run directory for integration with the cap-evolve dashboard.
• Maintains a focus on code quality and robustness through thorough, automated documentation and visualization processes.

Who it is for

• Developers and development teams focusing on AI-driven coding practices.
• Teams utilizing AI agents such as Claude Code, Cursor, or Codex for enhanced software development workflows.
• Project managers seeking to streamline and automate the detection and optimization of development process weaknesses.

Use cases

• In-depth, automated optimization of coding projects where task failures need systematic identification and resolution.
• Scenarios necessitating the delegation of highly targeted tasks to specialized code solver agents.
• Platforms looking for automated, continuous improvement cycles to enhance code robustness through collaborative agent efforts.

Technical details

• Operates exclusively in agent mode, engaging with the cap-evolve algorithm for ongoing optimization processes.
• Integrates with Obsidian-style markdown for weakness representation and Git for task-specific branching.
• Facilitates interaction through the cap-evolve dashboard for real-time monitoring and documentation rendering.

For authorised security testing, defensive research, and educational use only.

Source & Licence

This package is built on open-source work published by skillberry-ai (skillberry-ai/cap-evolve) and distributed under Apache-2.0. The original licence text and copyright notice are included in your download.

Personal and commercial use, modification and redistribution are permitted under the Apache License 2.0, which also includes an express patent grant. Attribution and any NOTICE file must be 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.
• Support: support@mcpcart.com — we aim to reply within 2 business days.
• 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.