Performance Analysis skills

Arize Prompt Optimization

github

Enhance LLM prompts using data-driven insights.

Agentforce Observability

forcedotcom

Enhance your Agentforce agents with session data insights.

Salesforce Debug Log Analysis

forcedotcom

Streamline Salesforce log troubleshooting with structured analysis.

Exploring APM Traces

posthog

Analyze distributed application performance with ease.

PostgreSQL Query Testing

civitai

Run PostgreSQL queries for testing and analysis.

Code Review Agent

ruvnet

Enhance code quality through structured reviews.

Code Analyzer Agent

ruvnet

Enhance your code quality with comprehensive analysis.

Cost Trend

ruvnet

Monitor performance drift in AI model benchmarks.

Chrome DevTools

chromedevtools

Efficiently debug and automate browser tasks with Chrome DevTools.

Perfetto SQL

android

Transform natural language into Perfetto SQL queries.

C

Chrome DevTools Agent

github

Automate and debug web applications effortlessly.

Performance Analyzer

ruvnet

Identify and resolve performance bottlenecks effectively.

PostgreSQL Optimization

davila7

Enhance your PostgreSQL database performance efficiently.

Generate a weekly performance summary from closed trader-memory-core theses — win rate, expectancy, profit factor, R-multiple, MAE/MFE, and win/loss pattern analysis by source skill, exit reason, thesis type, sector, and mechanism. No API required; pure local calculation.

Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-*.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating user timing marks.

Capture Unreal Engine traces, inspect Trace Store files, keep Unreal Insights GUI open, and export/summarize timing/counter data.

This skill should be used when the user wants to "run an evaluation", "evaluate my ADK agent", "write an eval dataset", "analyze eval failures", "compare eval results", "optimize agent", or needs guidance on the Agent Platform eval methodology and the Quality Flywheel. Covers eval metrics, dataset schema, LLM-as-judge scoring, and common failure causes. Do NOT use for API code patterns (use google-agents-cli-adk-code), deployment (use google-agents-cli-deploy), or project scaffolding (use google-agents-cli-scaffold).

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.

エージェントおよび LLM アプリケーション向けのフルスタック診断。12 層のエージェントスタックにおけるラッパーリグレッション、メモリ汚染、ツール規律の失敗、隠れた修復ループ、レンダリング破損を監査します。重要度順の発見事項とコードファーストの修正を生成します。エージェントアプリケーション、自律ループ、または LLM を活用した機能を構築する開発者に必須です。