Implement coding tasks from PRDs with TDD and typechecking.
npx skills add https://github.com/samuel-morrissey/skills --skill implement-samuel-morrissey
Please help me install this Agent Skill. Skill: implement Source: https://github.com/samuel-morrissey/skills/tree/main/skills/implement Command: npx skills add https://github.com/samuel-morrissey/skills --skill implement-samuel-morrissey
This Skill streamlines the process of implementing work from Product Requirements Documents (PRDs) or issue tracking systems, enhancing productivity and consistency.
Start the implementation process by executing /tdd for type-driven development, then run /review for quality checks before committing to the branch.
High-intent search queries and answers about installing and using this skill.
To implement work from a PRD while maintaining code quality, you can use a guided process that encourages type-driven development and continuous testing. This approach streamlines task completion and reduces bugs by enforcing regular typechecks.
Type-driven development is a practice where type definitions guide the implementation logic. It helps with issue implementation by ensuring robust code early, reducing runtime bugs, and maintaining consistency when translating issues into code.
Start coding tasks from issues using continuous testing by executing a type-driven development command to generate initial structures, then run a quality review command to check types and tests before committing code to your branch.
Yes, you need a regular testing framework to use type-driven development for work implementation. The process requires TDD practices to facilitate continuous testing and ensure robust, bug-free code throughout the development lifecycle.
The best way to reduce bugs during PRD implementation is to adopt a workflow combining type-driven development with continuous testing. Automating regular typechecks and writing tests prior to finalizing code ensures robust outputs.
Continuous testing matters for type-driven development because it validates type assumptions and logic iteratively. It catches structural errors early in the implementation cycle, ensuring the final code accurately reflects the PRD requirements.
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