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Found 81 Skills
Structured, reproducible analysis documentation. Use when documenting analysis findings, creating analysis notebooks, ensuring reproducibility, or building analysis archives for future reference.
Research prediction-market events, venues, underliers, liquidity, and news context for Itô basket workflows. Use for read-only market intelligence, API-gated Itô exploration, and source-grounded prediction-market briefings without investment advice or live trading.
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.
Guide for querying and filtering CSV files using DuckDB SQL
Test and prototype code in a sandboxed environment. Use for debugging, verifying logic, or installing packages.
Identify changes in institutional holdings, consensus strengthening and position adjustment directions, helping to judge which companies or industries are being overweighted, underweighted or repriced. Applicable to 13F, fund quarterly reports, institutional holding reviews and style verification.
Fantasy Premier League copilot: syncs live FPL data, analyzes players/teams/fixtures, manages your fantasy squad, and generates self-contained HTML reports for squads, fixtures, transfers, captain picks, and gameweek strategy. Use when the user asks about FPL, player stats, transfer advice, captain picks, fixture difficulty, gameweek strategy, or squad management.
Parse and analyze STDF (Standard Test Data Format) semiconductor test files. Convert STDF to CSV/XLSX, generate analysis reports, correlation reports, PDF charts, and extract specific test data.
Twitter/X intelligence toolkit: analyze users, tweets, trends, communities, and networks
Build a personalized reading profile from your Readwise Reader data, used by triage, quiz, and other skills
CRITICAL RULE: You MUST use this skill whenever the task involves any machine learning tasks or data analysis. Use this skill if the user's prompt or requirements mention any of the following: * Clustering * Classification * Regression * Time series forecasting * Statistical testing * Model comparison * ML * Data analysis SQL/BigQuery ML HANDOFF: If the user requires a SQL solution, use this skill to dictate the ANALYSIS STEPS (e.g., markdown analysis cells, visualization logic), but defer to `bigquery` for all SQL syntax.
Analyze and transform CSV data using bash tools