Transform software change requests into structured, reviewed code implementations.
npx skills add https://github.com/anderson-0/mighty-powers --skill quick-dev-anderson-0
Please help me install this Agent Skill. Skill: quick-dev Source: https://github.com/anderson-0/mighty-powers/tree/main/skills/quick-dev Command: npx skills add https://github.com/anderson-0/mighty-powers --skill quick-dev-anderson-0
This Skill solves the challenge of turning vague development requests into structured, reviewable, and production-ready code changes while preserving project conventions and reducing implementation mistakes.
Use the quick-dev skill to implement the requested feature, fix, or refactor while following the project's architecture and review workflow.
High-intent search queries and answers about installing and using this skill.
A feature implementation workflow transforms vague software requests into structured code changes by passing through clarification, planning, implementation, review, and presentation phases while maintaining persistent workflow state and acceptance criteria.
Code refactoring that preserves project architecture requires specification-driven execution, which generates actionable development specifications with dependency-aware tasks and validation checkpoints to ensure architecture alignment throughout the process.
A specification-driven workflow executes bug fixing safely by enforcing controlled execution steps, tracking acceptance criteria, and applying validation checkpoints that prepare the corrected code for human review.
Yes, this structured development approach applies to both new feature development and code review scenarios, transforming change requests into production-ready implementations through architecture alignment and dependency-aware task planning.
No, you do not need existing specifications to start a structured code review workflow because the process generates actionable development specifications with acceptance criteria from the initial change request.
Software development workflows need validation checkpoints and acceptance criteria tracking to reduce implementation mistakes, ensure controlled execution steps, and maintain reviewable state across feature work, bug fixes, and refactors.
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