insightpulse-superset-embedded-analytics
Design and configure embedded Superset dashboards for internal tools and customer apps with theming, RLS, SSO, and scalable UX.
Essential command-line tools and system utilities.
Design and configure embedded Superset dashboards for internal tools and customer apps with theming, RLS, SSO, and scalable UX.
Diagnose ClickHouse INSERT performance, batch sizing, part creation patterns, and ingestion bottlenecks. Use for slow inserts and data pipeline issues.
How to monitor usage, track costs, configure analytics, and measure ROI for Claude Code. Use when user asks about monitoring, telemetry, metrics, costs, analytics, or OpenTelemetry.
Provides expert backend analysis, API/service architecture review, and integration guidance. Use for API design evaluation, service layer review, data access patterns, or when asked to assess server-side code. Produces consultant-style reports with prioritized recommendations — does NOT write implementation code.
Analyze and improve database performance through safe, measurable query, index, and configuration optimizations.
Guides and code for creating, analyzing, and formatting spreadsheets. Use this skill to work with Excel files programmatically and apply data analysis techniques.
Generate production-ready B2B data tables with Ant Design Pro, URL sync, and advanced typing.
Expert assistance with GraphPad Prism scientific graphing and statistics software, specializing in Prism scripting for automation, batch processing, and data analysis workflows.
Analyze code performance, detect bottlenecks, suggest optimizations for algorithms, queries, and resource usage. Use when improving application performance or investigating slow code.
Diagnose ClickHouse disk usage, compression efficiency, part sizes, and storage bottlenecks. Use for disk space issues and slow IO.
Specialized assistant for working with Jupyter notebooks (.ipynb files). Use for analyzing, editing, debugging, or executing code in notebooks. Helps with data analysis, machine learning, deep learning, data visualization, and scientific computing workflows. Can read notebook contents, modify cells, execute Python code in the kernel, add documentation, and troubleshoot errors.
Optimizes Grafana Jsonnet dashboard content for observability and SRE best practices (RED/USE/Golden Signals). Use when auditing dashboard quality, improving monitoring effectiveness, enhancing diagnostic capabilities, or reviewing observability coverage. Focuses on content-level improvements without code structure refactoring.
This skill should be used when creating or modifying frontend dashboard components in the ClaudeCode Sentiment Monitor project. Specifically trigger this skill for tasks involving React 19 components, Next.js 15 App Router pages, shadcn/ui components, Recharts visualizations, SWR data fetching, or Tailwind CSS styling.
Tracks financial transactions, categorizes expenses, monitors budgets, and audits subscriptions. Use when processing bank transactions, categorizing expenses, tracking revenue, or analyzing financial data.
Generate detailed architectural descriptions of IT systems from short prompts. Produces structured output with overview, components list, connections/integrations, and ASCII diagrams with annotated arrows. Use when user asks to describe, explain, or document architecture of any IT system - specific platforms (Camunda, Kafka, Kubernetes), cloud services (AWS, GCP, Azure), databases, microservices, or custom systems.
Connect Supabase databases to Claude Desktop artifacts with read-only queries and live data visualization.
Copilot agent that assists with performance analysis, bottleneck detection, optimization strategies, and benchmarking Trigger terms: performance optimization, performance tuning, profiling, benchmark, bottleneck analysis, scalability, latency optimization, memory optimization, query optimization Use when: User requests involve performance optimizer tasks.
Investigation Analyst persona for systematic troubleshooting and debugging. ACTIVATE when messages contain debug, investigate, troubleshoot, analyze, diagnose, error, bug, root-cause, RCA, trace, or inspect keywords.
AI-powered RCA Copilot for root cause analysis and incident explanation. Use when: (1) Building incident context retrieval from Neptune and DynamoDB, (2) Implementing evidence ranking and root cause candidate generation, (3) Creating natural language incident explanations, (4) Generating recommended remediation actions. Triggers: "explain incident", "find root cause", "diagnose data issue", "what caused the alert", "RCA for incident".
Analyzes learner behavior, progress, and outcomes to generate actionable insights.
Use when calling APEX MCP tools (apex_patterns_lookup, apex_patterns_overview, apex_task_create, apex_reflect, etc.) for pattern intelligence, task tracking, or submitting reflections. Reference guide for all 13 MCP tools with schemas, trust score interpretation (★ ratings), workflow integration, and common error fixes.
Automatically convert uploaded data (CSV, Excel, JSON) into complete interactive dashboards with zero user input required. Detects patterns in PPC reports, sales data, analytics exports, and business metrics - then generates insights, recommendations, and visualizations instantly. Works seamlessly with CURV design system for on-brand outputs with tabs, funnels, filters, and multi-view layouts.
Executes structured, factual research runs across any domain (e.g., algorithms, competitors, AI models, audience behavior). Creates timestamped, reproducible artifacts with inline citations, confidence scoring, and adaptive freshness control.
Map non-linear connections across files, thoughts, and projects. Reveal hidden patterns in seemingly unrelated work. Use when feeling scattered, when working across multiple domains, or when sensing connections but unable to articulate them.