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Found 1,729 Skills
Golang performance optimization patterns and methodology - if X bottleneck, then apply Y. Covers allocation reduction, CPU efficiency, memory layout, GC tuning, pooling, caching, and hot-path optimization. Use when profiling or benchmarks have identified a bottleneck and you need the right optimization pattern to fix it. Also use when performing performance code review to suggest improvements or benchmarks that could help identify quick performance gains. Not for measurement methodology (see golang-benchmark skill) or debugging workflow (see golang-troubleshooting skill).
Universal skill diagnosis and optimization tool. Detect and fix skill execution issues including context explosion, long-tail forgetting, data flow disruption, and agent coordination failures. Supports Gemini CLI for deep analysis. Triggers on "skill tuning", "tune skill", "skill diagnosis", "optimize skill", "skill debug".
Task Closure Specification, including log generation and optimization analysis. Applicable to the closure phase after major deliverables are completed.
Build a marketing performance report with key metrics, trend analysis, wins and misses, and prioritized optimization recommendations. Use when wrapping a campaign, when preparing weekly, monthly, or quarterly channel summaries for stakeholders, or when you need data translated into an executive summary with next-period priorities.
Best practices for SciPy scientific computing, optimization, signal processing, and statistical analysis in Python
Identify, validate, and ship production-safe Node.js optimizations with execution time as the primary objective. Use when users ask to reduce latency (p50/p95/p99), improve throughput, and then reduce CPU/memory/event-loop lag/FD pressure or retry amplification, using one-PR-per-improvement workflows with benchmarks.
Generate production-ready Python code using Dataverse SDK with error handling, optimization, and best practices
Coordinates performance optimization: algorithm, query, and runtime workers in parallel
This skill should be used when the user asks to "run autoresearch", "optimize X in a loop", "set up autonomous experiments", "start autoresearch", "optimize X overnight", or "experiment loop". Sets up and runs an autonomous experiment loop for any optimization target.
Multi-cycle performance optimization with profiling and bottleneck analysis. Use when optimizing application performance.
When validating system performance under load, identifying bottlenecks through profiling, or optimizing application responsiveness. Covers load testing (k6, Locust), profiling (CPU, memory, I/O), and optimization strategies (caching, query optimization, Core Web Vitals). Use for capacity planning, regression detection, and establishing performance SLOs.
When validating system performance under load, identifying bottlenecks through profiling, or optimizing application responsiveness. Covers load testing (k6, Locust), profiling (CPU, memory, I/O), and optimization strategies (caching, query optimization, Core Web Vitals). Use for capacity planning, regression detection, and establishing performance SLOs.