Total 54,636 skills, Data Processing has 2807 skills
Showing 12 of 2807 skills
Using palladium's leading trend reversal as a confirmation condition, verify whether silver's short-term price movements are supported by both industrial sentiment and risk sentiment, and mark failed trends that lack palladium participation.
Automatically crawl financial statements and operational disclosures (production volume, costs, capital expenditures) of mining companies from the web, back-calculate the fundamental explanations and interval thresholds (e.g., 1.2/1.7) of the "Mining Stock/Metal Price Ratio", and output reproducible valuation decomposition (cost factor / leverage factor / multiple factor / dilution factor).
Use this skill when creating database schemas or tables for Timescale, TimescaleDB, TigerData, or Tiger Cloud, especially for time-series, IoT, metrics, events, or log data. Use this to improve the performance of any insert-heavy table. **Trigger when user asks to:** - Create or design SQL schemas/tables AND Timescale/TimescaleDB/TigerData/Tiger Cloud is available - Set up hypertables, compression, retention policies, or continuous aggregates - Configure partition columns, segment_by, order_by, or chunk intervals - Optimize time-series database performance or storage - Create tables for sensors, metrics, telemetry, events, or transaction logs **Keywords:** CREATE TABLE, hypertable, Timescale, TimescaleDB, time-series, IoT, metrics, sensor data, compression policy, continuous aggregates, columnstore, retention policy, chunk interval, segment_by, order_by Step-by-step instructions for hypertable creation, column selection, compression policies, retention, continuous aggregates, and indexes.
Quality control metrics and filtering thresholds for protein design. Use this skill when: (1) Evaluating design quality for binding, expression, or structure, (2) Setting filtering thresholds for pLDDT, ipTM, PAE, (3) Checking sequence liabilities (cysteines, deamidation, polybasic clusters), (4) Creating multi-stage filtering pipelines, (5) Computing PyRosetta interface metrics (dG, SC, dSASA), (6) Checking biophysical properties (instability, GRAVY, pI), (7) Ranking designs with composite scoring. This skill provides research-backed thresholds from binder design competitions and published benchmarks.
Fetch and persist article full text for RSS entries already stored in SQLite by ai-tech-rss-fetch. Use when backfilling or incrementally syncing body text from entries.url or entries.canonical_url into a companion table for downstream indexing, retrieval, or summarization.
Google BigQuery for analytics, ML, and data warehousing. Use for large-scale analytics.
Plotly interactive visualization library. Use for interactive charts.
Multi-stage fuzzy matching pipeline for entity reconciliation. PostgreSQL trigram pre-filter, salient overlap check, and multi-factor similarity scoring.
Use to design provider sequences, throttling logic, and credit policies for enrichment waterfalls.
Use when designing dashboards, reports, and narratives for GTM stakeholders.
Visualization Best Practices - Auto-activating skill for Data Analytics. Triggers on: visualization best practices, visualization best practices Part of the Data Analytics skill category.
Kpi Definition Helper - Auto-activating skill for Data Analytics. Triggers on: kpi definition helper, kpi definition helper Part of the Data Analytics skill category.