发现analytics & monitoring类别的 Claude 技能。浏览 47 个技能,找到适合您 AI 工作流程的完美功能。
Analyzes and optimizes application performance by identifying bottlenecks, implementing caching strategies, and refining code execution across the full stack.
Analyzes Claude Code token usage and spending patterns from local session data to provide actionable cost-saving recommendations.
Migrates standard DSPy GEPA usage to an observable framework for real-time prompt optimization monitoring and lineage tracking.
Conducts blameless incident reviews and root cause analysis to document system failures and prevent future recurrence.
Analyzes the potential impact and blast radius of code changes by mapping dependencies, temporal coupling, and ownership patterns.
Conducts blameless incident reviews to identify root causes and establish actionable prevention strategies.
Tracks real-time cryptocurrency prices, on-chain metrics, and technical indicators to provide actionable market insights.
Retrieves real-time odds, prices, and probability data from leading prediction markets like Polymarket and Kalshi.
Retrieves real-time odds, prices, and market sentiment from major prediction platforms like Polymarket and Kalshi.
Retrieves real-time probability data, prices, and trading volumes from leading prediction markets like Polymarket and Kalshi.
Retrieves real-time odds and sentiment data from leading prediction markets like Polymarket and Kalshi.
Retrieves real-time odds, prices, and trading volume from leading prediction markets like Polymarket and Kalshi.
Fetches real-time odds, prices, and sentiment data from major prediction markets like Polymarket and Kalshi.
Fetches real-time probability data and trading activity from major prediction markets like Polymarket and Kalshi.
Retrieves real-time event probabilities, pricing, and volume data from leading prediction markets like Polymarket and Kalshi.
Provides a comprehensive overview of the Honcho memory system's current configuration, connection state, and active sessions.
Builds comprehensive, recursive call graphs to map function dependencies and analyze complex code execution flows.
Establishes predictive measurement systems by connecting high-level business outcomes to actionable leading indicators.
Analyzes user retention data and cohort behavior to identify churn drivers and optimize product stickiness.
Defines and validates product success metrics using the STEDII framework to ensure data-driven feature evaluation.
Retrieves real-time prediction market odds and event probabilities from Polymarket and Kalshi.
Systematically challenges investment hypotheses and identifies hidden risks to prevent overconfidence in financial analysis.
Analyzes historical repository data to visualize code quality trends and technical debt patterns over time.
Analyzes code complexity and technical debt metrics to provide actionable insights before refactoring or editing symbols.
Generates data-driven technical debt assessments and prioritized refactoring reports using the Omen engine.
Analyzes codebase complexity, churn, and technical debt to identify high-ROI refactoring targets.
Automates the creation and management of Google Cloud Platform monitoring alerts for costs, performance, and errors.
Implements a rigorous Find-Prove-Evidence-Fix framework to systematically diagnose complex system failures and validate technical interventions.
Analyzes and optimizes Claude Flow swarm operations by detecting performance bottlenecks and providing AI-powered recommendations.
Manages and monitors Dagu workflows through a centralized web interface for real-time visibility into DAG executions.
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