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Found 51 Skills
Translate A/B test lift percentages into annualized dollar projections. Shows conservative and optimistic revenue impact, break-even analysis, and opportunity cost of waiting.
Handle spreadsheet operations (Excel/CSV) with high-fidelity modeling, financial analysis, and visual verification. Use for budget models, data dashboards, and complex formula-heavy sheets. Use proactively when zero formula errors and professional standards are required. Examples: - user: "Build an LBO model" -> create Excel with banking-standard formatting - user: "Analyze this data and create a dashboard" -> use openpyxl + artifact_tool - user: "Verify formulas in this spreadsheet" -> run recalc.py to check for errors
R statistical programming for data analysis, visualization, and modeling. Use for .r files.
Convert natural language queries to SQL. Use for database queries, data analysis, and reporting.
Spreadsheet Creation, Editing and Analysis Toolkit
Stakeholder-ready summary document for any Intelligems A/B test. Combines verdict, financial impact, segment analysis, and recommendations into a single shareable brief.
Use when tasks involve creating, editing, analyzing, or formatting spreadsheets (`.xlsx`, `.csv`, `.tsv`) using Python (`openpyxl`, `pandas`), especially when formulas, references, and formatting need to be preserved and verified. Originally from OpenAI's curated skills catalog.
Generate custom reports, query reports, and script reports for Frappe applications. Use when creating data analysis and reporting features.
Query Mozilla telemetry data directly from BigQuery using the bq CLI. Use when the user wants to run SQL against Firefox telemetry, analyze Windows version distribution, count DAU/MAU/WAU, query Glean metrics, or investigate user populations. Triggers on "bigquery", "bq", "telemetry query", "DAU", "MAU", "Windows distribution", "macOS distribution", "Darwin version", "Linux distribution", "kernel version", "client count", "user count", "Glean metrics query", "baseline_clients".
Create reports in Frappe including Report Builder, Query Reports (SQL), and Script Reports (Python + JS). Use when building data analysis views, dashboards, or custom reporting features.
Manage Jupyter notebooks — create, execute cells, manage kernels via the container's Jupyter Server REST API.
Execute read-only SQL queries against PostgreSQL databases. Use when: (1) querying PostgreSQL data, (2) exploring schemas/tables, (3) running SELECT queries for analysis, (4) checking database contents. Supports multiple database connections with descriptions for auto-selection. Blocks all write operations (INSERT, UPDATE, DELETE, DROP, etc.) for safety.