Total 50,506 skills, Data Processing has 2560 skills
Showing 12 of 2560 skills
Guide for querying and filtering CSV files using DuckDB SQL
Scout price discrepancies between Polymarket and Kalshi for discovery and comparison. Read-only; no execution.
dbt Expert Engineer Skill - Comprehensive guide for dbt development best practices, command execution, and environment configuration Use when: - Running dbt commands (debug, compile, run, test, show) - Setting up Issue-specific targets in profiles.yml - Working with Databricks SQL dialect in dbt
GSheet-CRUD API 使用指南。将 Google Sheets 作为 RESTful API 数据库。当用户需要通过 API 操作 Google Sheets 数据时使用此技能，包括：查询数据(GET)、插入数据(POST)、更新数据(PUT)、删除数据(DELETE)。
Invariant manifold tangent to center eigenspace
Perform technical analysis on stock K-line data, calculate indicators such as MA/MACD/RSI, and judge trends and trading signals. Trigger scenarios: (1) "Analyze the technical aspects of Moutai" (2) "Check if this stock is buyable" (3) "Technical analysis 600519" (4) Used when needing to judge stock trends and trading points. Need to use data-collect to obtain data first
Execute comprehensive market research workflows. Covers market intelligence gathering, sector analysis, security research, and competitive intelligence with temporal validation.
This skill should be used when building data processing pipelines with CocoIndex v1, a Python library for incremental data transformation. Use when the task involves processing files/data into databases, creating vector embeddings, building knowledge graphs, ETL workflows, or any data pipeline requiring automatic change detection and incremental updates. CocoIndex v1 is Python-native (supports any Python types), has no DSL, and is currently under pre-release (version 1.0.0a1 or later).
Chapter 2 데이터 수집 품질 기준 및 검증 방법
Use this for exploratory data analysis (EDA), generating visualizations, finding trends, and deriving insights from datasets using Python (Pandas/Seaborn/Plotly) or SQL.
Comprehensive spreadsheet creation, editing, and analysis with support for formulas, formatting, data analysis, and visualization. When Claude needs to work with spreadsheets (.xlsx, .xlsm, .csv, ....
Analyze workforce data — attrition, engagement, diversity, and productivity. Trigger with "attrition rate", "turnover analysis", "diversity metrics", "engagement data", "retention risk", or when the user wants to understand workforce trends from HR data.