Essential command-line tools and system utilities.
Processes Coles grocery invoices to extract structured data and predict future orders. Use when user uploads/pastes invoice content, asks to analyze grocery purchases, or wants shopping predictions.
Diagnose ClickHouse SELECT query performance, analyze query patterns, identify slow queries, and find optimization opportunities. Use for query latency and timeout issues.
Expert in creating database diagrams and visual representations. Use when generating ERDs, schema diagrams, or visualizing database relationships with Mermaid.js.
Create new visualizations for the IWAC Dashboard. Use this skill when: - Adding a new chart, graph, map, or data visualization - Creating Python data generation scripts for new visualizations - Building reusable visualization components with LayerChart, D3, Leaflet (maps), or Sigma.js (networks) This skill enforces the project's patterns: Svelte 5 runes, CSS variables, i18n, shadcn-svelte, and static data generation.
Build data visualization and analytics dashboards. Use when creating charts, KPI displays, metrics dashboards, or data visualization components. Triggers on analytics, dashboard, charts, metrics, KPI, data visualization, Recharts.
Help craft efficient Grafana Loki / LogQL queries for debugging logs — with label‑based filtering, narrow time windows, and best‑practice guidance to avoid expensive or overly broad scans.
Deep analysis mode. Gather comprehensive context before diving deep. Use for investigation, debugging, and understanding complex systems.
CellChat cell-cell communication analysis toolkit - complete documentation with precise file name-based categorization
Expert in high-performance CSV processing, parsing, and data cleaning using Python, DuckDB, and command-line tools. Use when working with CSV files, cleaning data, transforming datasets, or processing large tabular data files.
Design, deploy, upgrade, and operate the InsightPulseAI Superset-based BI platform on the user's infrastructure with secure, stable, scalable configs.
A comprehensive collection of Agent Skills for software engineering, database operations, and productivity automation. Use when building, optimizing, or debugging software systems with AI assistance.
Query and analyze Claude Code observability data (metrics, logs, traces). Use when analyzing performance, costs, errors, tool usage, sessions, conversations, or subagents.
Provides quick reference for BI Dashboard (Plotly Dash) commands and operations. Activates when user asks how to run, test, or verify the BI Dashboard. Includes startup, shutdown, verification, and troubleshooting procedures.
AGGRESSIVELY use TOON v2.0 format for biggish regular data (≥5 items, ≥60% uniform). Auto-applies to tables, logs, events, transactions, analytics, API responses, database results. Supports 3 array types (inline, tabular, expanded), 3 delimiters (comma, tab, pipe), key folding for nested objects. Triggers on structured data, arrays, repeated patterns. Use TOON by default when tokens matter - RAG pipelines, tool calls, agents, benchmarks. Keywords "data", "array", "list", "table", "log", "transaction", "metric", "analytics", "API", "database", "query", "TOON".
AGGRESSIVELY use TOON v2.0 format for biggish regular data (≥5 items, ≥60% uniform). Auto-applies to tables, logs, events, transactions, analytics, API responses, database results. Supports 3 array types (inline, tabular, expanded), 3 delimiters (comma, tab, pipe), key folding for nested objects. Triggers on structured data, arrays, repeated patterns. Use TOON by default when tokens matter - RAG pipelines, tool calls, agents, benchmarks. Keywords "data", "array", "list", "table", "log", "transaction", "metric", "analytics", "API", "database", "query", "TOON".
Create new blog posts and data analyses for the Data Blog. Use when the user wants to create a new blog post, add a new analysis, or set up a new data visualization. This includes creating the content.mdx file with proper frontmatter, setting up the directory structure (data/, results/, src/), and implementing dashboard components with charts, tables, and maps.
Deep analysis of ClickHouse server logs, debug traces, and low-level diagnostics. Use for investigating server log messages and trace analysis.
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.
Comprehensive multi-dimensional skill reviews across structure, content, quality, usability, and integration. Task-based operations with automated validation, manual assessment, scoring rubrics, and improvement recommendations. Use when reviewing skills, ensuring quality, validating production readiness, identifying improvements, or conducting quality assurance.
Generate and update HTML dashboards for LLM usage (Claude, Gemini, Kiro, VS code, Cline, etc). Use when the user wants to visualize their AI coding assistant usage statistics, view metrics in a web interface, or analyze historical trends.
Process Excel files with data manipulation, formula generation, and chart creation. Use when working with spreadsheets or Excel data.
ClickHouse performance analysis and troubleshooting agent. Use when analyzing ClickHouse server health, diagnosing query performance issues, investigating system problems, or performing root cause analysis (RCA). Triggers on requests involving ClickHouse logs, metrics, query optimization, ingestion issues, merge problems, or server diagnostics.
Expert in Celery for distributed task queue management, optimizing task execution, and ensuring robust Celery deployments.
