deanpeters/context-engineering-advisor
Diagnose context stuffing vs. engineering and guide memory and retrieval design
by deanpetersFree
Description
context-engineering-advisor is an interactive skill that helps product managers tell context stuffing apart from context engineering. Context stuffing means jamming volume into an AI workflow without intent. Context engineering means shaping the structure of what the model sees, so its attention lands on what matters. The skill guides you through a diagnosis of whether a workflow is bloated, brittle or hard to steer, and it names a failure it calls Context Hoarding Disorder. Its tactics include bounded domains, episodic retrieval, and a Research, Plan, Reset, Implement cycle. It is also useful for designing memory and retrieval architecture for AI agents and for improving output quality through structured context design. You give it the AI workflow to diagnose as an argument. The estimated time is 15 to 20 minutes, and the skill belongs to the AI agents theme of the product-manager-skills repository on GitHub.…
Highlights
- Diagnoses context stuffing versus context engineering
- Names the failure Context Hoarding Disorder
- Bounded domains and episodic retrieval
- Research, Plan, Reset, Implement cycle
- Memory and retrieval design for agents
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deanpeters/context-engineering-advisor FAQ
What is context stuffing?
Jamming a lot of material into an AI workflow without intent.
What is context engineering?
Shaping the structure of what the model sees so its attention goes to the right things.
What tactics does it recommend?
Bounded domains, episodic retrieval and the Research, Plan, Reset, Implement cycle.
What do I give it?
The AI workflow you want diagnosed, as the argument.
How long does it take?
The skill estimates 15 to 20 minutes.
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