Analyze multi-stage trading pipeline latency and report bottlenecks.
npx skills add https://github.com/Liquilab/Bottie --skill optimize-pipeline
Please help me install this Agent Skill. Skill: optimize-pipeline Source: https://github.com/Liquilab/Bottie/tree/main/.claude/skills/optimize-pipeline Command: npx skills add https://github.com/Liquilab/Bottie --skill optimize-pipeline
Analyses and optimizes the trading pipeline (detect → evaluate → execute) for bottlenecks, reducing total cycle time and increasing edge.
Run /optimize-pipeline to perform a full pipeline analysis and view latency bottlenecks.
High-intent search queries and answers about installing and using this skill.
To identify trading pipeline bottlenecks, map the detect, evaluate, and execute stages to measure per-wallet latency and total poll cycle time. This process highlights specific delayed steps and quantifies throughput degradation across multiple wallets.
Copy-trading pipelines skip trades due to rejection rules or latency issues during evaluation. Analyzing skip reasons involves mapping pipeline steps and logging rejection triggers to provide actionable insights for preventing missed opportunities.
The best way to optimize trading pipeline latency is to measure total poll cycle time across stages and apply structured recommendations. Implementing quick wins and experiment-driven changes reduces cycle time and increases your trading edge.
Yes, you can measure per-wallet latency by applying pipeline analytics to live scenarios. Mapping the seven pipeline steps tracks individual wallet delays, quantifying how latency affects decision speed across the detect, evaluate, and execute stages.
To get structured optimization recommendations for trading throughput, analyze pipeline analytics to map stages and measure latency. This delivers targeted quick wins and experiment-driven changes to resolve bottlenecks and improve cycle speed.
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