Discover Agent Skills for analytics & monitoring. Browse 47 skills for Claude, ChatGPT & Codex.
Tracks and reports real-time usage quotas, rate limits, and remaining capacity across major AI coding assistants like Claude, Gemini, and OpenAI.
Implements industry-standard SRE practices to build, monitor, and maintain highly reliable and scalable production systems.
Monitors and analyzes real-time community feedback, bug reports, and sentiment for Claude Code using Exa search.
Diagnoses network connectivity issues using a comprehensive suite of tools for pings, DNS lookups, port scanning, and performance testing.
Analyzes historical Claude Code session transcripts to generate comprehensive usage reports and actionable intelligence using AI-powered processing.
Generates concise reports of agents, skills, tools, and documentation accessed during a workflow for audit and learning purposes.
Implements high-quality Prometheus instrumentation, metrics naming, and PromQL queries following industry best practices.
Implements high-level observability practices including structured logging, metrics instrumentation, and distributed tracing for backend systems.
Integrates Schematic feature flags, entitlements, and event tracking into React, Vue, and JavaScript frontend applications.
Streamlines performance bottleneck identification and resolution through a structured six-stage analytical workflow and toggleable monitoring patterns.
Optimizes web and Electron application performance using industry-standard metrics and framework-specific best practices.
Instruments and analyzes runtime behavior to resolve complex bugs through empirical data observation rather than guesswork.
Implements standardized, subsystem-aware JSONL logging and request tracing for SideQuest Claude Code plugins.
Implements production-grade structured logging and distributed tracing for Bun-based Claude Code plugins.
Records structured errors and warnings from Claude subagents to local logs without interrupting the developer workflow.
Diagnoses and validates the configuration of all Academic Writer integrations, profiles, and core components.
Analyzes background coding patterns and documentation gaps to provide persistent, data-driven insights into your development workflow.
Diagnoses and reports the operational status of Academic Writer components, integrations, and configuration files.
Installs and configures the Manifest observability plugin to enable telemetry and performance monitoring for your agents.
Automates Kubernetes observability tasks including PromQL queries, log analysis, alert triage, and incident response for cloud-native environments.
Queries and retrieves structured Python logs from the Logfire API using specialized CLI tools and JSONL output.
Monitors and reports voice agent performance metrics including call volume, success rates, and session durations.
Standardizes telemetry implementation in Rust projects by applying structured logging, span design, and observability best practices.
Analyzes codebases and infrastructure configurations to reverse-engineer distributed system tradeoffs and identify architectural risks.
Auto-updates project status metrics and governance documentation using MCP issue data and specification tracking.
Implements standardized OpenTelemetry tracing to improve distributed system observability through correct span management and context propagation.
Optimizes application observability by guiding the selection, naming, and implementation of high-performance StatsD metrics.
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.
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