Where are the implementation plans stored?

Plans are saved to the 'docs/plans/' directory with a timestamped filename, ensuring your project documentation stays in sync with your development progress.

What does the writing-plans skill do?

It generates a detailed Markdown implementation plan that breaks down a complex task into small, verifiable steps following Test-Driven Development (TDD) principles.

Can this skill be used with subagents?

Yes, it specifically includes a handoff mechanism to transition from planning to execution using subagent-driven development or parallel sessions.

How does this skill support TDD?

Every task generated by the skill includes specific steps to write a failing test, verify the failure, implement minimal code, and then verify the pass.

Implementation Plan Architect

Name: Implementation Plan Architect
Author: lgbarn

bylgbarn

Productividad y Flujo de Trabajo

Generates granular, TDD-focused implementation roadmaps to ensure precise and disciplined code execution.

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The writing-plans skill bridges the gap between requirements and code by generating exhaustive, bite-sized implementation plans. It enforces engineering excellence through Test-Driven Development (TDD), DRY, and YAGNI principles, breaking complex features into 2-5 minute tasks. By documenting exact file paths, code snippets, and verification commands before a single line of production code is written, it minimizes architectural drift and provides a clear audit trail for both human developers and AI subagents.

Características Principales

0 GitHub stars
Granular task granularity restricted to 2-5 minute actions
Automated TDD-based task breakdown with failing test and verification steps
Standardized implementation headers including goals, architecture, and tech stack
Automatic plan documentation saved to version-controlled markdown files
Integrated handoff workflows for subagent-driven or parallel session execution

Casos de Uso

Onboarding AI subagents to a project with zero existing context
Standardizing testing and commit discipline across a development team
Architecting complex multi-step features before touching the codebase

Acerca de

Características Principales

0 GitHub stars
Granular task granularity restricted to 2-5 minute actions
Automated TDD-based task breakdown with failing test and verification steps
Standardized implementation headers including goals, architecture, and tech stack
Automatic plan documentation saved to version-controlled markdown files
Integrated handoff workflows for subagent-driven or parallel session execution

Casos de Uso

Onboarding AI subagents to a project with zero existing context
Standardizing testing and commit discipline across a development team
Architecting complex multi-step features before touching the codebase