context_product_plan

Generate product plans aligned with project context files.

3|Updated May 22, 2026

Search Tags:#context management #project planning #product planning #requirement gathering #AI coding agents

Ready to run

npx skills add https://github.com/Seven128/project-tiny-context-harness --skill context-product-plan

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: context_product_plan
Source: https://github.com/Seven128/project-tiny-context-harness/tree/main/.codex/ty-context-managed/skills/context_product_plan
Command: npx skills add https://github.com/Seven128/project-tiny-context-harness --skill context-product-plan

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill helps agents to converge product plans into a recoverable Minimal Context, enhancing project memory and facilitating efficient context management in AI coding agents.

Core Features & Use Cases

Product Planning: Guides agents in creating and refining product plans.
Context Management: Ensures that product plans are aligned with project context.
Use Case: When a user requests a product plan, this Skill assists in clarifying the plan, including user needs, product features, processes, and acceptance criteria.

Quick Start

Run the context_product_plan Skill and provide details about the product plan, such as target users, product positioning, core issues, and required capabilities.

Frequently Asked Questions about context_product_plan

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

FAQPage Schema

How do I align product plans with project context for AI coding agents?▼

Aligning product plans with project context involves generating a Minimal Context Harness that converges user needs, features, and acceptance criteria into a recoverable project memory for AI coding agents.

What is a Minimal Context Harness for project planning?▼

A Minimal Context Harness is a recoverable structure that converges product plans, requirement gathering, and feature definitions into aligned project memory for efficient AI agent processing.

How do I generate product plans that include UI components and verification processes?▼

Generating product plans with UI components and verification processes requires reading project context files and applying specific rules for product surfaces to align agent outputs with project requirements.

Does this context management approach work without external dependencies?▼

Yes, this context management approach operates without external dependencies, using internal scripts and references to guide agents in refining product positioning and core issues into a recoverable context.

What's the best way to gather requirements for feature definition in AI coding agents?▼

The best way to gather requirements for feature definition is to provide target users, product positioning, and required capabilities details, allowing the system to clarify processes and acceptance criteria into minimal context.

When do I need to apply specific rules for product surface and verification processes?▼

Apply specific rules for product surface and verification processes when converging product plans into a Minimal Context, ensuring agent outputs align precisely with the existing project context and requirement gathering constraints.