Claude Code Plugins

Community-maintained marketplace

Feedback

latency-tracker

@BarisSozen/claude
0
0

Per-call and aggregated latency tracking for MEV infrastructure. Use when implementing performance monitoring or debugging slow operations. Triggers on: latency, timing, performance, slow, speed, instrumentation.

Install Skill

1Download skill
2Enable skills in Claude

Open claude.ai/settings/capabilities and find the "Skills" section

3Upload to Claude

Click "Upload skill" and select the downloaded ZIP file

Note: Please verify skill by going through its instructions before using it.

SKILL.md


name: latency-tracker description: Per-call and aggregated latency tracking for MEV infrastructure. Use when implementing performance monitoring or debugging slow operations. Triggers on: latency, timing, performance, slow, speed, instrumentation.

Latency Tracker

Per-call and aggregated latency tracking for MEV infrastructure.

When to Use

  • Implementing performance monitoring
  • Debugging slow operations
  • Adding instrumentation to code paths
  • Tracking end-to-end latency
  • Setting up alerting thresholds

Workflow

Step 1: Define Span Hierarchy

Structure spans from e2e_flow down to individual calls.

Step 2: Instrument Code

Wrap operations in tracker.span() calls.

Step 3: Set Alert Thresholds

Configure alerts for latency exceeding expected ranges.


Span Hierarchy

e2e_flow (root) ├── rust_hotpath_call (5-15ms) │ └── rpc_eth_call (5-20ms) ├── tx_submit └── tx_confirm (1-15s)

Usage

const e2e = tracker.startE2E('liq');

await e2e.span('rust_call', async () => {
  return await callRust();
});

e2e.complete({ success: true });

Alert Thresholds

Span Expected Alert
rust_hotpath 5-15ms >30ms
rpc_eth_call 5-20ms >50ms
e2e_to_submit 10-50ms >100ms