數據科學
1726 skills in 數據與 AI > 數據科學
ds-review
This skill should be used when the user asks to "review the analysis", "check methodology", "validate results", or as Phase 4 of the /ds workflow. Reviews methodology, data quality, and statistical validity.
openrouter-config-validator
Configuration validation and testing utilities for OpenRouter API. Use when validating API keys, testing model availability, checking routing configuration, troubleshooting connection issues, analyzing usage costs, or when user mentions OpenRouter validation, config testing, API troubleshooting, model availability, or cost analysis.
smc-chart-analysis
Smart Money Concepts (SMC) and ICT-style chart analysis skill. Analyzes any market with one command - fetches real data, runs multi-timeframe analysis, identifies trade setups with entry/stop/targets. Use when user asks to "analyze [SYMBOL]", wants SMC/ICT analysis, asks about liquidity sweeps, order blocks, fair value gaps, or market structure, or wants trade setup recommendations.
csv-cleaner
Clean and normalize CSV data by analyzing structure, detecting issues (missing values, duplicates, type inconsistencies), and applying transformations. Use when users need to prepare messy CSV files for analysis or import.
claude-session-analysis
Analyze Claude Code session files. Find current session ID, view timeline (tl), or search past chats.
ai-gemini-helper
This skill should be used when tasks benefit from a quick second AI perspective, current web information via Google Search, codebase architecture analysis, or parallel code generation. Also use when user explicitly requests Gemini operations with phrases like 'use Gemini', 'ask Gemini', 'second opinion', or 'Google search'.
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior - four-phase framework (root cause investigation, pattern analysis, hypothesis testing, implementation) that ensures understanding before attempting solutions
senior-qa
Comprehensive QA and testing skill for quality assurance, test automation, and testing strategies for ReactJS, NextJS, NodeJS applications. Includes test suite generation, coverage analysis, E2E testing setup, and quality metrics. Use when designing test strategies, writing test cases, implementing test automation, performing manual testing, or analyzing test coverage.
data-analysis
Analyze datasets using Python with pandas, numpy, and visualization libraries. Generates statistical summaries, identifies patterns, creates charts, and provides insights. Use when analyzing CSV/Excel files, exploring data, creating visualizations, or when users mention data analysis, statistics, charts, or datasets.
google-drive-file-processor
Workflow and ready-to-import helpers for connecting to Google Drive with a service account, listing folders, and routing files based on MIME type. Use this skill whenever you need to download/export Docs, Sheets, Slides, Forms, or arbitrary binaries and surface their contents as pandas tables or local artifacts.
codebase-onboarding-analyzer
Rapidly understand new codebases through automated analysis of structure, dependencies, architecture, complexity, and data flow. Use when exploring unfamiliar code, onboarding to projects, documenting legacy systems, or generating quick-start guides. Supports Python, JavaScript/TypeScript, Go, Rust, Java, and more.
rca-analysis
Perform Root Cause Analysis using a multi-agent swarm approach. Use when investigating bugs, failures, performance issues, or any problem requiring systematic diagnosis. Triggers on requests like "why is X failing", "debug this issue", "find the root cause", "investigate this problem", or explicit RCA requests.
marketplace-analysis
Use when reviewing plugin quality, auditing plugins, analyzing the marketplace, checking plugins against Anthropic standards, or evaluating plugin architecture - provides systematic analysis methodology with validation framework
trader-agent
Short-term technical analysis specialist. Focuses on price action, chart patterns, momentum indicators, and volume analysis to identify optimal entry/exit points for trades.
python-programming
Python fundamentals, data structures, OOP, and data science libraries (Pandas, NumPy). Use when writing Python code, data manipulation, or algorithm implementation.
signal-generator-agent
Final trading signal generator. Consolidates outputs from all analysis sources (War Room, Manual Analysis, Deep Reasoning, CEO Analysis, News) into unified TradingSignal database entries with proper attribution.
project-migrate
Use this skill to migrate existing projects to the SynthesisFlow structure. It uses an AI-powered analysis to intelligently discover, categorize, and migrate documentation, generate rich frontmatter, and preserve git history.
watersheds
Use this skill for requests to retrieve watersheds in the USA as a GeoDataFrame in GeoPandas. This skill can retrieve all watersheds intersecting with specific states directly using the states column.
dst-visualization
Create interactive Chart.js visualizations for DST data analysis. Use when generating charts, creating visual reports, building dashboards, or displaying trends from database tables.
otel-monitoring-setup
Use PROACTIVELY when setting up OpenTelemetry monitoring for Claude Code usage tracking, cost analysis, or productivity metrics. Provides local PoC mode (full Docker stack with Grafana) and enterprise mode (centralized infrastructure). Configures telemetry collection, imports dashboards, and verifies data flow. Not for non-Claude telemetry or custom metric definitions.