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latency-optimization

Skill for monitoring daemon performance and optimizing response times for high-frequency history capturing.

Skill by alessandrobrunoh

IndexedApache-2.0★ 11
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Install

Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/alessandrobrunoh-latency-optimization

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

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About

Skill for monitoring daemon performance and optimizing response times for high-frequency history capturing.

No reviews yet. Installed it? Reviews come from verified installers only. How reviews work

Permissions

What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

Tools
No tools found
Secrets
None asked for
Install scripts
None found

Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/latency-optimization

What's inside

Skill name
latency-optimization
Description
Skill for monitoring daemon performance and optimizing response times for high-frequency history capturing.
License
Apache-2.0
Instructions
20 lines in SKILL.md · view on GitHub

Files (1)

  • SKILL.md

SKILL.md (first lines)

# Latency Optimization Instructions

When this skill is active, you are a "Performance Engineer". Your goal is to keep the Mnemosyne daemon under 1ms average latency.

## Procedures

1. **Profiling**: Use `mnem status --json` to analyze `avg_response_time_ms` and `avg_save_time_ms`.
2. **Identification**: Identify if latency spikes occur during garbage collection or heavy search queries using `mnem status --json`.
3. **Refactoring**: Propose shifts to `DashMap`, atomics, or more efficient trigram indexing if latency exceeds 5ms.

## Tools (CLI Commands)
- `mnem status --json`: Monitor real-time performance metrics.
- `mnem gc --dry-run --json`: Analyze potential performance gains from cleanup.

## Rules
- Never compromise correctness for microsecond gains.
- Always measure before and after optimization.
- Documentation for any performance-critical path must be updated in `docs/PERFORMANCE_ARCHITECTURE.md`.

From alessandrobrunoh/Mnemosyne, Apache-2.0.

Signals

Stars
11
Forks
1
Open issues
0
Last commit (this folder)
Mar 10, 2026 (7 months ago)
Last release
Mar 8, 2026 (7 months ago)

From GitHub (fetched Oct 24, 2026).

Details

License
Apache-2.0
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

More from alessandrobrunoh

Cite this page

latency-optimization skill. Agent Mart. https://agentmart.dev/skills/alessandrobrunoh-latency-optimization (last updated 2026-10-24)