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Spec-Driven Development (TLC)

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Productividad y Flujo de Trabajo

Implements an adaptive 4-phase workflow—Specify, Design, Task, and Execute—to ensure high-precision project planning and implementation.

The Spec-Driven Development skill provides a disciplined framework for managing the software development lifecycle within AI coding environments. By utilizing an adaptive 'auto-sizing' principle, it intelligently adjusts its depth based on task complexity, ranging from an express 'Quick mode' for bug fixes to a full-scale architectural design for complex features. The skill maintains project integrity through a structured .specs/ directory, ensuring requirement traceability, persistent session memory, and atomic git commits, making it the ideal tool for both starting greenfield projects and mapping existing brownfield codebases.

Características Principales

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02Persistent session memory (STATE.md) to track decisions, blockers, and deferred ideas across AI sessions.
03Adaptive 4-phase workflow (Specify, Design, Tasks, Execute) that auto-sizes based on complexity.
04Requirement traceability with unique IDs linked to atomic tasks and automated verification criteria.
05Comprehensive brownfield mapping to document existing codebases across 7 key architectural dimensions.
06Integrated 'Quick mode' for small tweaks and bug fixes to maintain speed without sacrificing documentation.

Casos de Uso

01Initializing a new project with a vision, roadmap, and structured goal alignment.
02Executing complex features with granular task breakdowns and atomic git commits for cleaner reviews.
03Onboarding an AI agent to an existing codebase by generating stack, architecture, and convention docs.