Does this skill work with languages other than TypeScript?

While the skill is optimized for TypeScript with 'Types-first' guidelines, the structural planning, dependency mapping, and progress tracking protocols can be adapted for any language.

How do I handle dependencies between different plans?

The skill uses a cross-plan reference format (plan-name:TASK-XXX) in both the markdown files and PROGRESS.json to manage complex dependencies across multiple modules.

What is the purpose of the PROGRESS.json file?

PROGRESS.json acts as the single source of truth for the status of all implementation plans and tasks, allowing Claude to accurately track and resume work across different sessions.

How does this skill prevent Claude Code OOM errors?

It enforces a strict 400-line limit and a maximum of 10 tasks per plan file, ensuring the AI agent can process the plan within its context window without exceeding memory limits.

Implementation Plan Architect

Name: Implementation Plan Architect
Author: tacogips

bytacogips

Productivity & Workflow

Translates design documents into structured, trackable implementation plans with TypeScript definitions and explicit dependency management.

About

The Implementation Plan Architect skill bridges the gap between high-level design specifications and technical execution. It provides a rigorous framework for breaking down complex features into manageable, 1-3 session tasks while enforcing strict file size limits to prevent Claude Code memory (OOM) errors. By prioritizing TypeScript-first definitions and centralizing status tracking through a PROGRESS.json file, this skill ensures that implementation remains focused, parallelizable, and easy to resume across multiple development sessions.

Key Features

TypeScript-first module definitions including interfaces and signatures
Standardized implementation plan generation from design documentation
Centralized task tracking via PROGRESS.json single source of truth
Strict granularity controls (max 400 lines) to optimize LLM performance
0 GitHub stars
Explicit task-level dependency mapping and parallelization rules

Use Cases

Managing long-running development projects across multiple AI coding sessions
Enforcing architectural consistency through mandatory type-first implementation planning
Decomposing large feature specifications into actionable, small-scale subtasks

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add tacogips/moltbook-cli impl-plan

For use in Claude.ai and ChatGPT

Download Skill

GitHub