Can I use this for parallel task execution?

Yes, the output is specifically designed to be handed off to the /cc:parse-plan command, which enables concurrent task execution by sub-agents.

What is the main benefit of the Writing Plans skill?

It breaks down complex features into extremely granular, verifiable tasks that can be executed by AI agents or human developers with minimal domain context.

Where are the generated plans saved?

Plans are saved as markdown files in the docs/plans/ directory with a standardized date and feature-name format for easy tracking.

Does this skill support Test-Driven Development?

Yes, the skill explicitly structures tasks around writing failing tests first, followed by minimal code implementation and verification.

Implementation Planner

Name: Implementation Planner
Author: seanGSISG

byseanGSISG

Productivity & Workflow

Generates granular, step-by-step implementation plans with exact file paths and code examples for zero-context engineering tasks.

About

The Writing Plans skill bridges the gap between high-level architectural design and concrete execution by producing comprehensive, bite-sized implementation plans. It follows strict Test-Driven Development (TDD) principles, ensuring every task includes a failing test, minimal implementation, and verification steps. Designed for the Claude Code ecosystem, it creates documentation-ready plans that can be automatically parsed for parallel execution by sub-agents or followed sequentially by developers, adhering to DRY and YAGNI best practices while minimizing domain knowledge requirements.

Key Features

0 GitHub stars
Provides exact file paths and complete code snippets to eliminate ambiguity
Formats plans for seamless handoff to parallel execution via sub-agents
Standardizes documentation by saving plans to version-controlled markdown files
Generates granular 2-5 minute tasks to streamline engineering workflows
Enforces Test-Driven Development (TDD) with specific failing and passing test steps

Use Cases

Creating clear instructions for AI sub-agents to execute features with zero codebase context
Translating a finalized design into a sequence of actionable, testable git commits
Structuring complex refactoring projects into small, verifiable units of work

About

Key Features

0 GitHub stars
Provides exact file paths and complete code snippets to eliminate ambiguity
Formats plans for seamless handoff to parallel execution via sub-agents
Standardizes documentation by saving plans to version-controlled markdown files
Generates granular 2-5 minute tasks to streamline engineering workflows
Enforces Test-Driven Development (TDD) with specific failing and passing test steps

Use Cases

Creating clear instructions for AI sub-agents to execute features with zero codebase context
Translating a finalized design into a sequence of actionable, testable git commits
Structuring complex refactoring projects into small, verifiable units of work