From rmyndharis-antigravity-skills
Profiles and optimizes Python code using cProfile, memory profilers, and performance best practices. Use for debugging slow code, bottlenecks, CPU/memory issues, or improving app performance.
npx claudepluginhub joshuarweaver/cascade-code-general-misc-2 --plugin rmyndharis-antigravity-skillsThis skill uses the workspace's default tool permissions.
Comprehensive guide to profiling, analyzing, and optimizing Python code for better performance, including CPU profiling, memory optimization, and implementation best practices.
Creates isolated Git worktrees for feature branches with prioritized directory selection, gitignore safety checks, auto project setup for Node/Python/Rust/Go, and baseline verification.
Executes implementation plans in current session by dispatching fresh subagents per independent task, with two-stage reviews: spec compliance then code quality.
Dispatches parallel agents to independently tackle 2+ tasks like separate test failures or subsystems without shared state or dependencies.
Comprehensive guide to profiling, analyzing, and optimizing Python code for better performance, including CPU profiling, memory optimization, and implementation best practices.
resources/implementation-playbook.md.resources/implementation-playbook.md for detailed patterns and examples.