Discover Agent Skills for analytics & monitoring. Browse 47 skills for Claude, ChatGPT & Codex.
Retrieves and analyzes upcoming global economic events and market-moving indicators using the Financial Modeling Prep API.
Guides the development and integration of specialized operational modes for PostHog's AI agent system.
Cleanses log files of ANSI escape sequences to provide accurate, readable terminal output analysis.
Conducts expert market sizing, financial modeling, and strategic planning for early-stage startups from pre-seed to Series A.
Streamlines the creation and management of shared ServiceDefaults projects to centralize observability, resilience, and discovery in .NET Aspire applications.
Monitors, traces, and evaluates LLM applications using an open-source, OpenTelemetry-based observability platform.
Integrates comprehensive tracing, evaluation, and monitoring tools to debug and optimize Large Language Model (LLM) applications.
Analyzes research behavior and identifies reading patterns to recommend relevant literature and track academic progress.
Sets up and manages proactive monitoring for critical SEO and GEO metrics, including ranking drops, traffic fluctuations, and technical issues.
Generates comprehensive SEO and GEO performance reports, executive summaries, and multi-source data visualizations for stakeholders.
Configures a real-time terminal status bar for Claude Code to monitor context usage, session costs, and API rate limits.
Retrieves and decodes detailed transaction data from the Base mainnet using x402 micropayments.
Retrieves real-time USD prices, 24-hour performance trends, and liquidity metrics for any token on the Base network.
Retrieves real-time ETH and USDC balances for any Ethereum address on the Base network using x402 micropayments.
Enables real-time log searching, metric querying, and incident triage directly within the AI agent workflow using Datadog observability.
Optimizes and validates OpenShift Grafana dashboards to ensure platform reliability and high-signal observability.
Tracks the evolution of architectural decisions and design concepts across sessions, git history, and documentation.
Manages and validates OpenShift Grafana dashboards using a structured information architecture and PromQL reliability checks.
Monitors and optimizes the compounding knowledge cycle of AI coding agents to ensure high-velocity learning and reuse.
Monitors and optimizes the health of agent-based knowledge cycles, memory pools, and learning velocity.
Standardizes event tracking by implementing walkerOS's entity-action naming conventions and stateless data structures.
Guides developers through the Source-Collector-Destination architecture of walkerOS for building modular event processing pipelines.
Standardizes WordPress activity log messages using active voice and user-friendly language for audit trails.
Analyzes completed Claude Code sessions to verify tool execution, hook triggers, and artifact creation against specification files.
Profiles CPU and memory hot paths to generate flame graphs and evidence-backed performance reports.
Identifies critical implementation paths, entrypoints, and high-traffic files to streamline performance profiling and optimization tasks.
Manages and compares performance test baselines to track version-over-version metrics and environment metadata.
Automates the recording of structured performance investigation notes, evidence, and decision-making logic within the AI state directory.
Generates evidence-based performance hypotheses by analyzing git history and specific execution paths.
Synthesizes performance investigation data into evidence-backed recommendations and actionable next steps.
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