create-implementation-plan

Generate structured Markdown implementation plans for features, refactoring, and upgrades.

Updated Feb 18, 2026
One-click install
npx skills add https://github.com/jjchambers80/judgesdirectory --skill create-implementation-plan-jjchambers80
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: create-implementation-plan
Source: https://github.com/jjchambers80/judgesdirectory/tree/main/.github/skills/create-implementation-plan
Command: npx skills add https://github.com/jjchambers80/judgesdirectory --skill create-implementation-plan-jjchambers80

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? Writing implementation plans that both humans and AI agents can execute consistently is difficult, often resulting in vague tasks, missing requirements, and untracked progress. This Skill produces deterministic, machine-readable plan files with a strict template so work can be executed and validated without ambiguity. ## Core Features & Use Cases - Standardized Plan Template: Enforces a mandatory Markdown structure with front matter, requirements, phased tasks, dependencies, risks, and testing sections. - AI-Executable Tasks: Requires atomic tasks with specific file paths, standardized identifier prefixes (REQ-, TASK-, GOAL-), and measurable completion criteria. - Status Tracking: Defines plan status values (Planned, In progress, Completed, Deprecated, On Hold) with badge rendering in the document. - Use Case: When upgrading a package or adding an authentication module, generate a plan file like feature-auth-module-1.md in the /plan/ directory that an AI agent can execute phase by phase. ## Quick Start Ask the AI to create an implementation plan for your feature, refactor, or upgrade, specifying the purpose and target component.

Frequently Asked Questions about create-implementation-plan

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I create an implementation plan for a new feature?▼

Invoke the skill with the plan purpose, such as a feature or upgrade, and it generates a Markdown file in the /plan/ directory. The file follows a strict template with requirements, phased tasks, dependencies, and testing sections.

What structure should an AI-executable implementation plan follow?▼

The plan uses front matter with goal, status, and tags, followed by sections for requirements, implementation phases with task tables, alternatives, dependencies, files, testing, and risks. Identifiers use prefixes like REQ-, TASK-, and GOAL- for machine parsing.

Where are implementation plan files saved and how are they named?▼

Plans are saved in the /plan/ directory using the naming convention [purpose]-[component]-[version].md. Purpose prefixes include upgrade, refactor, feature, data, infrastructure, process, architecture, and design.

Can AI agents execute the generated implementation plans automatically?▼

Yes, the plans are designed for AI-to-AI communication with deterministic language and zero ambiguity. Each phase has measurable completion criteria, and tasks include specific file paths and exact implementation details.

What status values can an implementation plan have?▼

Plans support five status values: Completed, In progress, Planned, Deprecated, and On Hold. The status appears in the front matter and as a colored badge in the introduction section.