context-engineering-advisor

What problem does it solve?

This Skill helps product teams distinguish between context stuffing and proper context engineering, then designs and implements disciplined memory, boundary rules, and cycles to keep AI-driven PM work focused and reliable.

Core Features & Use Cases

• Diagnostic framework: identifies symptoms of context hoarding and provides actionable steps (boundary ownership, context manifest, and memory architecture).
• Memory & boundary design: prescribes a two-layer memory model (short-term conversational and long-term persistent memory) with retrieval strategies.
• Implementation cycle: guides Research → Plan → Reset → Implement to prevent context rot, including templates and artifacts.
• Use Case: for discovery planning, backlog prioritization, and multi-agent toolchains where context must be bounded and relevant.

Quick Start

Provide a high-density plan for your next AI-assisted PM task by running a diagnostic prompt that asks me to assess context usage and propose a Context Manifest; then implement the cycle.