Context Engineering Advisor
Skill Verifiziert AktivDiagnose context stuffing vs. context engineering. Use when an AI workflow feels bloated, brittle, or hard to steer reliably.
To help product managers and AI practitioners diagnose and fix issues related to context stuffing in AI workflows, leading to more efficient, reliable, and higher-quality AI outputs.
Funktionen
- Diagnose context stuffing vs. context engineering
- Identify context boundaries and architectural issues
- Guide implementation of tactical context practices
- Prevent context rot in AI workflows
- Promote efficient token usage and AI attention allocation
Anwendungsfälle
- My AI outputs are mediocre even though I'm giving it lots of information — diagnose what's wrong
- I want to architect context properly for a multi-step AI workflow in my product team
- My AI workflow feels bloated, brittle, or hard to steer reliably
- I suspect I'm 'context stuffing' but don't know how to fix it
Nicht-Ziele
- Choosing specific AI tools (e.g., Claude vs. ChatGPT)
- Writing better prompts (focus is on information architecture)
- Adding more tokens or pursuing 'infinite context' narratives
- Replacing human judgment; instead, amplifying it
Workflow
- Gather context about current AI usage and symptoms.
- Diagnose context stuffing via key symptoms and 5 diagnostic questions.
- Define memory architecture (short-term vs. long-term, retrieval strategy).
- Implement the Research → Plan → Reset → Implement cycle.
- Synthesize an action plan and define next steps.
Praktiken
- Context Design
- AI Workflow Architecture
- Information Architecture
Installation
Zuerst Marketplace hinzufügen
/plugin marketplace add deanpeters/Product-Manager-Skills/plugin install context-engineering-advisor@pm-skillsQualitätspunktzahl
VerifiziertVertrauenssignale
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