skills/43-wentorai-research-plugins/skills/domains/finance/SKILL.md
8 finance skills. Trigger: financial modeling, market data, risk analysis, quantitative finance. Design: data sources, quantitative methods, and regulatory frameworks.
npx skillsauth add brycewang-stanford/Awesome-Agent-Skills-for-Empirical-Research finance-skillsInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Select the skill matching the user's need, then read its SKILL.md.
| Skill | Description | |-------|-------------| | akshare-finance-data | Access Chinese and global financial data using the AkShare Python library | | financial-data-analysis | Methods for acquiring, cleaning, and analyzing financial datasets for research | | finsight-research-guide | Deep financial research with the FinSight multi-agent system | | options-analytics-agent-guide | AI agent for options pricing, Greeks, and strategy analysis | | portfolio-optimization-guide | Portfolio theory, optimization algorithms, and asset allocation methods | | quantitative-finance-guide | Quantitative methods for financial modeling, derivatives pricing, and risk an... | | risk-modeling-guide | Financial risk modeling including VaR, stress testing, and credit risk | | stata-accounting-research | STATA code patterns for empirical accounting and finance research |
tools
Autonomous multi-round research review loop using MiniMax API. Use when you want to use MiniMax instead of Codex MCP for external review. Trigger with "auto review loop minimax" or "minimax review".
tools
Autonomous research review loop using any OpenAI-compatible LLM API. Configure via llm-chat MCP server or environment variables. Trigger with "auto review loop llm" or "llm review".
tools
Autonomous multi-round research review loop using MiniMax API. Use when you want to use MiniMax instead of Codex MCP for external review. Trigger with "auto review loop minimax" or "minimax review".
tools
Autonomous research review loop using any OpenAI-compatible LLM API. Configure via llm-chat MCP server or environment variables. Trigger with "auto review loop llm" or "llm review".