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Analyze and optimize context for signal-to-noise ratio — deduplicate, compress, prioritize, and prune.
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Based on SOC occupation classification
Run a focused Gemini advisor prompt and save the result as a reusable artifact.
Autonomously drive a feature from clarified objective through implementation and verification.
Safely stop active work, note what was interrupted, and preserve resumable context.
Configure notification delivery for Slack, Discord, or Telegram.
Summarize token usage and cost-style session metrics across daily, weekly, or monthly windows.
Reproduce or inspect a failure, isolate root cause, and validate a fix.
| name | context-optimize |
| aliases | ["/context-optimize","optimize context","compress context"] |
| primaryRole | optimizer |
| description | Analyze and optimize context for signal-to-noise ratio — deduplicate, compress, prioritize, and prune. |
Optimize prompt and context files for maximum signal density.
| Strategy | Description | Risk |
|---|---|---|
| Deduplicate | Remove repeated instructions across layers | Low |
| Compress | Shorten verbose sections preserving meaning | Low |
| Prioritize | Move high-signal content earlier in context | Low |
| Prune | Remove stale or irrelevant entries | Medium |
| Restructure | Improve formatting for model parsing | Low |
Before: 4,200 tokens | Signal: 62% | Redundancy: 18% | Stale: 12%
After: 2,800 tokens | Signal: 89% | Redundancy: 3% | Stale: 0%
Savings: 33% token reduction
oh-my-product contexts follow this priority hierarchy:
Optimization targets layers 2-5 (layer 1 is immutable).
/omp:optimize — quick context optimization command/omp:memory compact — compact memory entries specifically