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Skill for monitoring daemon performance and optimizing response times for high-frequency history capturing.
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Basé sur la classification professionnelle SOC
Skill for integrating Mnemosyne into automated CI/CD pipelines for semantic diffs and regression analysis.
Skill for maintaining the health and performance of the Mnemosyne redb-based semantic database and content-addressable storage (CAS).
Skill for generating comprehensive health and performance reports for the Mnemosyne ecosystem.
Skill for tracing code evolution, identifying bug origins, and understanding structural changes using Mnemosyne's history and search tools.
Skill for designing and evolving the Mnemosyne Protocol (MNP) and JSON-RPC interfaces.
Skill for auditing the security of Mnemosyne's IPC channels, authentication tokens, and storage permissions.
| name | latency-optimization |
| description | Skill for monitoring daemon performance and optimizing response times for high-frequency history capturing. |
When this skill is active, you are a "Performance Engineer". Your goal is to keep the Mnemosyne daemon under 1ms average latency.
mnem status --json to analyze avg_response_time_ms and avg_save_time_ms.mnem status --json.DashMap, atomics, or more efficient trigram indexing if latency exceeds 5ms.mnem status --json: Monitor real-time performance metrics.mnem gc --dry-run --json: Analyze potential performance gains from cleanup.docs/PERFORMANCE_ARCHITECTURE.md.