planner

Generate design artifacts and roadmaps from feature specs.

Updated Sep 22, 2025

Search Tags:#design #template #planning #roadmap #plan #feature #artifact-generation

Ready to run

npx skills add https://github.com/MRenAIAgent/mini_agent --skill planner-mrenaiagent

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: planner
Source: https://github.com/MRenAIAgent/mini_agent/tree/main/.claude/skills/planner
Command: npx skills add https://github.com/MRenAIAgent/mini_agent --skill planner-mrenaiagent

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Planning feature implementations and creating structured design artifacts can be time-consuming and error-prone without a repeatable workflow.

Core Features & Use Cases

Artifact generation: Produce a reproducible design artifact plan and implementation roadmap from a feature spec.
Phased planning: Decompose complex features into phases (research, data-model, contracts, quickstart, tasks) with clear deliverables.
Use case: A product manager needs a clear plan to align engineering, design, and QA across a major feature rollout.

Quick Start

Run the plan template to generate a design artifact plan from your feature spec.

Frequently Asked Questions about planner

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

FAQPage Schema

How do I plan feature implementations to generate design artifacts and roadmaps?▼

To plan feature implementations, you can run a deterministic plan template against a feature spec to generate design artifacts and roadmaps. This workflow decomposes features into distinct phases, outputting structured deliverables for research, data models, contracts, quickstart, and tasks to a specified SPECS_DIR.

What is the best way to decompose complex features into phased task breakdowns?▼

Decomposing complex features into phased task breakdowns is achieved by running a structured plan template that separates work into research, data-model, contracts, quickstart, and task phases. This approach ensures clear deliverables across multiple outputs for a major feature rollout.

How does automated feature planning work for architectural decisions and data models?▼

Automated feature planning works by loading a feature spec, running a plan template, and checking constitutional requirements before generating outputs. It produces reproducible design artifacts including architectural decisions, data models, and contracts to align engineering and QA teams.

Do I need a feature spec to generate a reproducible design artifact plan?▼

Yes, you need a feature spec to generate a reproducible design artifact plan. The workflow requires loading a feature spec to execute the deterministic plan template, which then outputs the resulting roadmap and design artifacts directly to your configured SPECS_DIR.

Can I use this for product management to align engineering, design, and QA teams?▼

Yes, you can use this for product management to align engineering, design, and QA teams. It generates a clear implementation roadmap and structured deliverables from a feature spec, providing the phased planning needed to coordinate a major feature rollout across cross-functional teams.