By sumeet138
Business metrics analysis, KPI tracking, financial reporting, and data-driven decision making
Transform data into compelling narratives using visualization, context, and persuasive structure. Use when presenting analytics to stakeholders, creating data reports, or building executive presentations.
Design effective KPI dashboards with metrics selection, visualization best practices, and real-time monitoring patterns. Use this skill when building an executive SaaS metrics dashboard tracking MRR, churn, and LTV/CAC ratios; designing an operations center with live service health and request throughput; creating a cohort retention analysis view for a product team; or debugging a dashboard where metrics contradict each other due to inconsistent calculation methodology.
Uses power tools
Uses Bash, Write, or Edit tools
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npx claudepluginhub sumeet138/qwen-code-agents --plugin business-analyticsLLM application development with LangGraph, RAG systems, vector search, and AI agent architectures for Claude 4.6 and GPT-5.2
Interactive debugging, developer experience optimization, and smart debugging workflows
Distributed system tracing and debugging across microservices
REST and GraphQL API scaffolding, framework selection, backend architecture, and API generation
Technical SEO optimization including meta tags, keywords, structure, and featured snippets
Business metrics analysis, KPI tracking, financial reporting, and data-driven decision making
Editorial "Business Analyst" bundle for Claude Code from Antigravity Awesome Skills.
Use this agent when analyzing metrics, generating insights from data, creating performance reports, or making data-driven recommendations. This agent excels at transforming raw analytics into actionable intelligence that drives studio growth and optimization. Examples:\n\n<example>\nContext: Monthly performance review needed
Data analysis and business intelligence skill for dashboards, metrics, and strategic insights. Supports data-driven decision-making.
Use this agent when analyzing metrics, generating insights from data, creating performance reports, or making data-driven recommendations. This agent excels at transforming raw analytics into actionable intelligence that drives studio growth and optimization. Examples:\n\n<example>\nContext: Monthly performance review needed
Data & analytics skills: Metrics Framework, SQL Query Explainer, Dashboard Brief, Cohort Analysis, Data Pipeline Spec, Chart Data Extractor, A/B Test Readout, Metric Tree Builder, Data Quality Audit. Build North Star metric trees, explain and optimise SQL, spec dashboards, read out A/B test results with significance and guardrails, and audit datasets for quality before you trust them.