Discover Agent Skills for analytics & monitoring. Browse 47skills for Claude, ChatGPT & Codex.
Analyzes codebase size, language composition, and structural changes using Tokei and Difftastic.
Implements robust structured logging, metrics collection, and distributed tracing for production-ready Python applications.
Analyzes Git commit history to identify bug fix patterns, extract root causes, and generate actionable postmortem insights.
Tracks and reports real-time usage quotas, rate limits, and remaining capacity across major AI coding assistants like Claude, Gemini, and OpenAI.
Diagnoses and repairs configuration errors, hook failures, and environment inconsistencies within the dev-system ecosystem.
Optimizes application speed and resource efficiency through systematic profiling, advanced caching, and modern asset delivery strategies.
Transforms raw session logs into structured JSON timelines for protocol audit and efficiency analysis.
Integrates Claude Code with Braintrust to evaluate, log, and monitor LLM application performance using SQL and automated scripts.
Implements measurable reliability targets using SLIs, SLOs, and error budgets to balance service performance with innovation speed.
Implements and configures distributed tracing using Jaeger and Tempo to visualize request flows and identify performance bottlenecks across microservices.
Implements end-to-end request tracing using Jaeger and Tempo to identify performance bottlenecks across distributed microservices.
Configures Prometheus for robust metric collection, alerting, and full-stack observability across infrastructure and applications.
Builds and manages production-ready Grafana dashboards for real-time system and application observability.
Automatically captures and logs hierarchical traces of Claude Code sessions, tool calls, and conversation turns to Braintrust for complete observability.
Optimizes web application performance using data-driven techniques, React best practices, and Core Web Vitals measurement.
Optimizes frontend performance using a data-driven approach focused on Web Vitals and React efficiency.
Profiles, analyzes, and optimizes Python codebases to identify performance bottlenecks and implement high-efficiency implementation patterns.
Configures Prometheus for comprehensive metric collection, alerting, and monitoring of infrastructure and applications.
Creates and manages production-ready Grafana dashboards for real-time system and application observability.
Defines and implements Service Level Indicators (SLIs) and Service Level Objectives (SLOs) to establish measurable reliability targets and error budgets.
Streamlines the end-to-end lifecycle of LimaCharlie data adapters through dynamic research, configuration generation, and validation.
Automates DeFi lending strategies, profit extraction, and position health monitoring on the AAVE protocol.
Identifies performance trends and optimization opportunities by analyzing structured development data from your workflows.
Configures production-grade monitoring for Spring Boot applications using Actuator, Micrometer, and OpenTelemetry.
Generates complex Excel pivot tables and visual charts from raw data using natural language commands.
Generates actionable cryptocurrency trading signals by analyzing real-time market data, technical indicators, and on-chain metrics.
Monitors and analyzes application CPU usage to identify performance bottlenecks and optimize algorithmic efficiency.
Analyzes Claude Code session data to track token usage, project history, and estimated API costs.
Tracks and optimizes application response times across API endpoints, database queries, and service calls to resolve performance bottlenecks.
Implements Real User Monitoring to capture and analyze Core Web Vitals and actual user performance data.
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