Discover Agent Skills for analytics & monitoring. Browse 47skills for Claude, ChatGPT & Codex.
Aggregates log file entries across specific date ranges to produce detailed severity statistics and structured CSV reports.
Analyzes projects and systems through the lens of environmental science, ecology, and long-term sustainability frameworks.
Accesses and analyzes comprehensive FDA regulatory data for drugs, medical devices, and food safety through the openFDA API.
Optimizes software performance through systematic profiling, benchmarking, and evidence-based engineering workflows.
Systematically diagnoses software failures and system incidents to identify and resolve the underlying source of errors.
Constructs complex regular expressions to extract and validate structured data from log files using a systematic decomposition strategy.
Analyzes Claude Code session traces to optimize token consumption and diagnose technical performance issues.
Optimizes Claude's context window through proactive token monitoring, intelligent snapshots, and selective rehydration.
Validates methodology effectiveness using historical session data to predict performance without the risks of live deployment.
Refactors complex Go codebases using automated metrics and BAIME-aligned protocols to reduce cyclomatic complexity and improve test coverage.
Transforms subjective code debt into objective, data-driven paydown strategies using the industry-standard SQALE methodology.
Implements the three pillars of observability—structured logging, metrics, and distributed tracing—to provide deep visibility into application health and performance.
Automates the detection, classification, and resolution of system errors using a 13-category taxonomy and systematic recovery patterns.
Manages production incidents using SRE methodologies for rapid investigation, mitigation, and postmortem documentation.
Implements production-grade observability for Cloudflare Workers using structured logging, real-time log streaming, and custom performance metrics.
Analyzes and optimizes application performance across algorithms, databases, and frontend frameworks to resolve bottlenecks and reduce latency.
Implements production-grade monitoring, logging, and tracing systems to ensure application reliability and performance.
Diagnoses complex software errors using automated stack trace analysis and systematic root cause investigation.
Quantifies and manages technical debt using the SQALE methodology to prioritize refactoring and establish objective code quality benchmarks.
Implements comprehensive logging, metrics, and distributed tracing to ensure production reliability and performance monitoring.
Implements a systematic error-handling methodology using a 13-category taxonomy to diagnose, recover from, and prevent session failures.
Identifies memory leaks and optimizes allocation patterns in JavaScript, TypeScript, and Python applications to prevent performance degradation.
Systematically tracks and optimizes the specialization of AI agents within workflows to improve performance and reusability.
Validates Prometheus metrics implementation in Go applications to ensure optimal observability and performance.
Simplifies GTM implementations by providing expert guidance on tags, triggers, variables, and data layer configurations.
Profiles and optimizes OCaml memory allocations to eliminate boxing overhead and improve application performance.
Implements comprehensive request tracking across microservices using Jaeger and Tempo to identify performance bottlenecks and service dependencies.
Configures Prometheus for comprehensive metric collection, alerting, and observability across infrastructure and applications.
Implements service reliability targets using SLIs, SLOs, and error budgets to balance innovation velocity with system stability.
Implements comprehensive Kafka monitoring using Prometheus and Grafana to track cluster health, consumer lag, and broker performance.
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