Analyze past session execution logs to identify bottlenecks and optimization opportunities.
npx skills add https://github.com/rollrat/.skills --skill skill-optimizer-rollrat
Please help me install this Agent Skill. Skill: skill-optimizer Source: https://github.com/rollrat/.skills/tree/main/skill-optimizer Command: npx skills add https://github.com/rollrat/.skills --skill skill-optimizer-rollrat
This Skill analyzes the execution flow of the previous session to identify inefficiencies such as bottlenecks, redundant calls, and error retries, and proposes specific optimization measures.
Run /skill-optimizer to analyze the current conversation history for optimization opportunities.
High-intent search queries and answers about installing and using this skill.
Performance bottleneck detection analyzes past session execution logs to identify redundant operations, error retries, and time sinks. It reconstructs execution timelines to pinpoint exactly where workflow inefficiencies occur.
Session timeline reconstruction rebuilds past execution flows by mapping time spent at each operational step. This detailed breakdown categorizes inefficiencies by impact, enabling targeted workflow improvement and code modifications.
Redundant operations and error handling patterns are identified by analyzing tool call history within the current conversation context. The analysis detects duplicate calls and error retries to propose concrete optimization strategies.
Yes, session execution optimization operates entirely within the current conversation context using built-in scripts and references. It requires no external dependencies to analyze tool call history and suggest workflow modifications.
The best way to get optimization proposals is to analyze the execution flow of the previous session. This generates concrete Before/After examples and recommends specific modifications to relevant skill files.
Session execution flow analysis is not suitable for real-time performance monitoring or single-step tasks. It requires a sufficiently long conversation history with multiple tool calls to identify meaningful inefficiency patterns.
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