Does this skill support Test-Driven Development (TDD)?

Yes, TDD is a core requirement of the skill, forcing the creation of failing tests and minimal implementations for every task.

When should I use the Writing Plans skill?

Use this skill immediately after defining requirements but before writing any production code to ensure a structured, test-driven approach to implementation.

How does this skill improve AI code generation?

By breaking tasks into 2-5 minute 'bite-sized' steps with exact file paths and expected test outputs, it minimizes AI hallucinations and logic errors.

Where are the generated implementation plans saved?

Plans are automatically saved to your repository's 'docs/plans/' directory using a timestamped naming convention for easy tracking and version control.

Writing Plans & Implementation Architect

Name: Writing Plans & Implementation Architect
Author: pur3v4d3r

bypur3v4d3r

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생산성 및 워크플로

Generates detailed, step-by-step implementation plans using TDD and DRY principles before executing code changes.

소개

The Writing Plans skill serves as a bridge between high-level requirements and technical execution by creating granular, bite-sized tasks for complex software features. It assumes a zero-context environment, providing exact file paths, shell commands, and complete code snippets to eliminate ambiguity. By enforcing a strict Test-Driven Development (TDD) workflow—writing failing tests before minimal implementations—this skill ensures high code quality, architectural consistency, and frequent atomic commits, making it ideal for both human developers and autonomous AI subagents.

주요 기능

Granular TDD workflow (Write test, Fail, Implement, Pass, Commit)
1 GitHub stars
Standardized implementation headers including goals, architecture, and tech stack
Automated plan storage in dedicated documentation directories
Integrated execution handoff for subagent-driven or parallel session development
Precise file path and line-number targeting for zero-context development

사용 사례

Mapping out complex multi-file features in a large codebase before touching production code
Preparing structured, executable task lists for automated subagent deployment
Ensuring strict adherence to TDD and clean code principles for AI-generated contributions

소개

주요 기능

Granular TDD workflow (Write test, Fail, Implement, Pass, Commit)
1 GitHub stars
Standardized implementation headers including goals, architecture, and tech stack
Automated plan storage in dedicated documentation directories
Integrated execution handoff for subagent-driven or parallel session development
Precise file path and line-number targeting for zero-context development

사용 사례

Mapping out complex multi-file features in a large codebase before touching production code
Preparing structured, executable task lists for automated subagent deployment
Ensuring strict adherence to TDD and clean code principles for AI-generated contributions