analytics & monitoring向けのClaudeスキルを発見してください。47個のスキルを閲覧し、AIワークフローに最適な機能を見つけましょう。
Identifies high-potential wholesale consignment leads for auction houses by analyzing aged and overpriced dealer inventory.
Optimizes auction lane inventory by analyzing demand signals and predicting vehicle sell-through rates.
Generates comprehensive monthly US automotive market intelligence for lending risk assessment and portfolio management.
Analyzes automotive market coverage versus opportunity across target states to prioritize lending sales territories.
Analyzes dealership inventory against custom lending criteria to quantify financing opportunities and portfolio fit.
Analyzes used-vehicle inventory trends to predict reconditioning costs and margin pressures for major automotive retailers.
Automates comprehensive automotive inventory analysis, competitive pricing audits, and localized stocking recommendations for car dealerships.
Monitors automotive brand health and competitive threats through real-time operational KPIs and market data.
Tracks automotive discount-to-MSRP trends to provide margin signals and pricing erosion intelligence for investment analysis.
Analyzes electric vehicle market dynamics, penetration rates, and pricing parity to guide OEM electrification strategies.
Analyzes automotive market share and competitive positioning to generate data-driven investment signals for equity research.
Optimizes Go application performance through advanced profiling, memory management, and benchmarking techniques.
Automates logging audits and implements robust observability patterns for Gleam and Erlang/OTP applications.
Architects data-driven business dashboards using strategic metric selection, visualization best practices, and implementation patterns.
Analyzes weekly price charts to identify trends, key support and resistance levels, and develop objective, probabilistic price scenarios based strictly on technical data.
Automates Mixpanel product analytics tasks including event tracking, funnel analysis, and user profile management via Rube MCP.
Analyzes and optimizes Claude Flow swarm performance by detecting bottlenecks and providing AI-powered optimization recommendations.
Diagnoses and resolves issues with dding-dong notification alerts and sound playback within Claude Code.
Tracks and summarizes all URLs accessed via WebFetch during SpecStory AI coding sessions for easy auditing and resource retrieval.
Summarizes and audits all external URLs fetched during SpecStory AI development sessions.
Fetches and summarizes project-level metrics, session activity, and contributor statistics from SpecStory Cloud.
Automates the provisioning and management of Azure Application Insights monitoring resources using the .NET Resource Manager SDK.
Manages and persists LLM evaluation metrics using Supabase to track model performance, regressions, and run history.
Decomposes private equity returns into revenue growth, margin expansion, multiple changes, and debt paydown components for precise financial reporting.
Queries Langfuse traces, prompts, and metrics to provide deep observability into LLM performance and costs.
Defines comprehensive requirements for analytics dashboards, including KPIs, visualizations, and data sources.
Troubleshoots and resolves technical issues within the Outfitter infrastructure, including Result handling, MCP integration, and CLI logging.
Provides real-time data and management tools for Decentralized Token Folios (DTFs) and RTokens on the Reserve Protocol.
Extracts behavioral insights and detects patterns within AI conversation histories to identify success signals and friction points.
Provides a systematic, evidence-based debugging framework for diagnosing and fixing issues within Outfitter-based Bun projects.
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