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Diagnose context stuffing vs. context engineering.
Passed 17 of 21 test cases with the skill, and 13 of 21 without it.
and 3 more in the full report
5 fixed13 passed either way3 still failing1 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 5 test cases the skill fixed. Same model, same prompt, with and without the skill.
During an audit of a team's AI context practices, how many recognized context stuffing symptoms out of eight must be present to diagnose active Context Hoarding Disorder requiring immediate intervention?
| Checked | Without skill | With skill |
|---|---|---|
| Identifies 4 or more symptoms as the threshold for diagnosing active Context Hoarding Disorder. | Missed | Passed |
The instructions your model reads when the skill loads.
Guide product managers through diagnosing whether they're doing context stuffing (jamming volume without intent) or context engineering (shaping structure for attention). Use this to identify context boundaries, fix "Context Hoarding Disorder," and implement tactical practices like bounded domains, episodic retrieval, and the Research→Plan→Reset→Implement cycle.
Key Distinction: Context stuffing assumes volume = quality ("paste the entire PRD"). Context engineering treats AI attention as a scarce resource and allocates it deliberately.
This is not about prompt writing—it's about designing the information architecture that grounds AI in reality without overwhelming it with noise.
The Fundamental Problem:
PM's Role Shift: From feature builder → architect of informational ecosystems that ground AI in reality
| Dimension | Context Stuffing | Context Engineering |
|---|---|---|
| Mindset | Volume = quality | Structure = quality |
| Approach | "Add everything just in case" | "What decision am I making?" |
| Persistence | Persist all context | Retrieve with intent |
| Agent Chains | Share everything between agents | Bounded context per agent |
| Failure Response | Retry until it works | Fix the structure |
| Economic Model | Context as storage | Context as attention (scarce resource) |
Critical Metaphor: Context stuffing is like bringing your entire file cabinet to a meeting. Context engineering is bringing only the 3 documents relevant to today's decision.
Five Markers of Context Stuffing:
test cases passed, vs 13 / 21 without
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