dimanu-py

Breaks down ANY work into 1-3 hour micro-steps with zero downtime. Use for large refactorings, technical improvements, debugging, research, migrations, or any work that feels too big or risky. Automatically applies expand-contract pattern for risky changes.…

Mutation testing patterns for Python using mutmut. Use when analyzing Python code to find weak or missing tests, verifying pytest effectiveness, strengthening Python test suites, or validating TDD workflows in Python projects.

Mutation testing patterns for Python using mutmut. Use when analyzing Python code to find weak or missing tests, verifying pytest effectiveness, strengthening Python test suites, or validating TDD workflows in Python projects.

Reviews technical proposals and architectural decisions against 30 complexity dimensions. Use when user proposes technical solutions, designs systems, or evaluates architectural choices. Questions necessity of scale, consistency, resilience, and other…

Applies the Hamburger Method to slice features into vertical deliverable pieces. Use when user asks how to slice work, break down features into layers, or wants to deliver incrementally. Helps generate 4-5 options per layer and compose minimal vertical…

Expert at detecting stories that are too big and applying splitting heuristics. Use when user describes work that seems large, mentions multiple features in one story, or needs help breaking down requirements. Detects linguistic red flags (and, or, manage,…

Analyze and improve test code quality using Kent Beck's Test Desiderata framework. Use when analyzing test files, reviewing test code, identifying test quality issues, suggesting test improvements, or when asked to evaluate tests against best practices.…

Apply XP Simple Design principles when refactoring code — reduce duplication, improve clarity, and keep the fewest elements needed. Use when the user asks to clean up, improve, or refactor existing code.

Reviews technical proposals and architectural decisions against 30 complexity dimensions. Use when user proposes technical solutions, designs systems, or evaluates architectural choices. Questions necessity of scale, consistency, resilience, and other…

Applies the Hamburger Method to slice features into vertical deliverable pieces. Use when user asks how to slice work, break down features into layers, or wants to deliver incrementally. Helps generate 4-5 options per layer and compose minimal vertical…

Breaks down ANY work into 1-3 hour micro-steps with zero downtime. Use for large refactorings, technical improvements, debugging, research, migrations, or any work that feels too big or risky. Automatically applies expand-contract pattern for risky changes.…

Mutation testing patterns for Python using mutmut. Use when analyzing Python code to find weak or missing tests, verifying pytest effectiveness, strengthening Python test suites, or validating TDD workflows in Python projects.

Expert at detecting stories that are too big and applying splitting heuristics. Use when user describes work that seems large, mentions multiple features in one story, or needs help breaking down requirements. Detects linguistic red flags (and, or, manage,…

Analyze and improve test code quality using Kent Beck's Test Desiderata framework. Use when analyzing test files, reviewing test code, identifying test quality issues, suggesting test improvements, or when asked to evaluate tests against best practices.…

Apply XP Simple Design principles when refactoring code — reduce duplication, improve clarity, and keep the fewest elements needed. Use when the user asks to clean up, improve, or refactor existing code.

Create or improve convention documentation based on the current conversation. Use this when a feature's learnings should be captured as reusable conventions.

Breaks down ANY work into 1-3 hour micro-steps with zero downtime. Use for large refactorings, technical improvements, debugging, research, migrations, or any work that feels too big or risky. Automatically applies expand-contract pattern for risky changes.…

Mutation testing patterns for Python using mutmut. Use when analyzing Python code to find weak or missing tests, verifying pytest effectiveness, strengthening Python test suites, or validating TDD workflows in Python projects.

Create or update spec .md files in docs/specs/ using the established format. Use when a feature needs to be documented before Gherkin scenarios are written.

Create or improve adr documentation based on the current conversation. Use this when a plan has been created and changes were requested because it didn’t follow the repository’s conventions.

Create or improve design documents based on the current conversation. Use this when a new feature or architectural change has been discussed that should be captured as a design doc.

Create or improve convention documentation based on the current conversation. Use this when a feature's learnings should be captured as reusable conventions.

Create or update .spec files in docs/features/ using the established format. Use when a feature needs to be documented before Gherkin scenarios are written.

Breaks down ANY work into 1-3 hour micro-steps with zero downtime. Use for large refactorings, technical improvements, debugging, research, migrations, or any work that feels too big or risky. Automatically applies expand-contract pattern for risky changes.…