Converts raw numerical data from NumPy, Pandas, and Polars arrays into natural language descriptions optimized for LLM consumption. Performs trend detection, volatility analysis, anomaly detection, seasonality assessment, and data quality checks. Achieves 95%+ token reduction by replacing thousands of data points with concise semantic summaries. Includes specialized trading module for financial applications.
Cognium trust score
62%
Tier
Scanned
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately.
Last scanned 2026-09-02.
Returns 7 tools: search_skills, get_skill, list_leaderboard, get_trust_breakdown, resolve_composition, plus the ChatGPT-connector search and fetch. Every tool is annotated read-only.
Resolve this skill directly via MCP tools/call get_skill.