ai-feature-template
Create new AI-powered features using xAI Grok. Use when user mentions "new AI feature", "add Grok", "create prompt", "AI analysis", or "generate with AI".
Essential command-line tools and system utilities.
Create new AI-powered features using xAI Grok. Use when user mentions "new AI feature", "add Grok", "create prompt", "AI analysis", or "generate with AI".
Expert data engineering covering data pipelines, ETL/ELT, data warehousing, streaming, and data quality.
Comprehensive health audit for design documentation. Use when performing thorough quality checks, preparing for releases, or ensuring documentation compliance.
Generate HTML reports, charts, and dashboards with neo-brutal design. Use for creating GitHub activity reports, Fieldy summaries, Skillz analytics, and other data visualizations.
Diagnose ClickHouse RAM usage, OOM errors, memory pressure, and allocation patterns. Use for memory-related issues and out-of-memory errors.
Analyzes Snowflake query performance, identifies optimization opportunities, and provides cost reduction recommendations. Use when user needs to optimize slow queries, reduce Snowflake costs, analyze query profiles, design clustering keys, or troubleshoot performance issues.
Create onboarding, training, documentation, and enablement flows for admins, data teams, and business users of the InsightPulse Superset Data Lab.
Performance analyst. Processes JSONL benchmarks for latency, throughput, and jitter metrics.
Use this agent when analyzing code for performance issues, optimization opportunities, or scalability concerns. Triggers on requests like "performance review", "check for bottlenecks", "scalability analysis".
Analyzes distributed systems using Prometheus (PromQL), Loki (LogQL), and Tempo (TraceQL). Constructs efficient queries for metrics, logs, and traces. Interprets results with token-efficient structured output. Use when debugging performance issues, investigating errors, analyzing latency, or correlating observability signals across metrics, logs, and traces.
Help craft efficient Mimir/Prometheus queries, troubleshoot metric issues, avoid high-cardinality problems, and recommend best practices for aggregation, recording rules, and performance.
Evidence framework data dashboard with DuckDB. Write SQL in markdown to create visualizations.
Comprehensive skill for interacting with Grafana's HTTP API to manage dashboards, data sources, folders, alerting, annotations, users, teams, and organizations. Use when Claude needs to (1) Create, read, update, or delete Grafana dashboards, (2) Manage data sources and connections, (3) Configure alerting rules, contact points, and notification policies, (4) Work with folders and permissions, (5) Manage users, teams, and service accounts, (6) Create or query annotations, (7) Execute queries against data sources, or any other Grafana automation task via API.
Unified visual content system for cardiology thought leadership. Automatically routes requests to the optimal tool—Fal.ai for blog imagery, Gemini for infographics, Mermaid for flowcharts/pathways, Marp for slides, Plotly for data visualization. One skill handles all visual needs within Claude Code.
Guides performance analysis and optimization for any application. Use when diagnosing slowness, optimizing code, improving load times, or when asked about performance.
Coverage thresholds and reporting. Use when analyzing and improving test coverage.
Create, edit, and analyze Excel spreadsheets with formulas, charts, pivot tables, and data analysis (Official Anthropic skill)
Structured, reproducible analysis documentation. Use when documenting analysis findings, creating analysis notebooks, ensuring reproducibility, or building analysis archives for future reference.
Expert assistant for Keboola data platform. Builds working data pipelines, not just advice. Use for: data extraction, transformation, validation, orchestration, dashboard creation.
Process vehicle insurance Excel data using Pandas - file handling, data cleaning, merging, validation. Use when processing Excel/CSV files, handling data imports, implementing business rules (negative premiums, zero commissions), debugging data pipelines, or optimizing Pandas performance. Keywords: data_processor.py, Excel, CSV, Pandas, merge, deduplication, date normalization.
Automated pattern recognition in Claude Code telemetry. Use when detecting failures, slowness, anomalies, trends, inefficiencies, conversation patterns, or tool sequences.