Analyzes the current project/workspace for architectural improvements, performance optimizations, and provides a comprehensive report. It checks ALL project dependencies for potential updates and brainstorms design/UI enhancements based on modern standards. Use when tasked with "auditing", "optimizing", "updating", or "improving" an agent or repository.
This skill enables the agent to perform a deep-dive "Self-Improvement Review" of a codebase. It focuses on modern agentic standards (Agent-Utilities ecosystem), dependency health, and design excellence.
pyproject.toml or requirements.txt and checks for the latest versions on PyPI.analyze_project.py: Execute the bundled script to detect architectural patterns and missing features.check_pypi_updates.py to compare current versions against the latest stable releases on PyPI.references/improvement_checklist.md to identify gaps in performance, security, or DX.pydantic-graph if currently using a simpler structure.self_improvement_report.md.agent-utilities (e.g., loading prompts from prompts/*.md).scripts/analyze_project.py: Scans for project types and structural patterns.scripts/check_pypi_updates.py: Queries PyPI for dependency updates.references/improvement_checklist.md: Comprehensive quality gates for agentic software.references/agent_utilities_standards.md: Specific best practices for the current ecosystem.