Agent Skills › AojdevStudio/Finance-Guru › fin-guru-research

fin-guru-research

GitHub

执行结构化市场研究，涵盖情报收集、竞争分析及数据验证。通过工具集成实现技术筛选、趋势识别与风险评估，确保数据时效性与来源可信度，最终生成带置信度的研究报告供下游使用。

.claude/skills/fin-guru-research/SKILL.md AojdevStudio/Finance-Guru

Trigger Scenarios

需要全面的市场情报分析进行竞争对手或行业趋势研究执行带有时间验证的金融数据调研

Install

npx skills add AojdevStudio/Finance-Guru --skill fin-guru-research -g -y

More Options

Non-standard path

npx skills add https://github.com/AojdevStudio/Finance-Guru/tree/main/.claude/skills/fin-guru-research -g -y

Use without installing

npx skills use AojdevStudio/Finance-Guru@fin-guru-research

指定 Agent (Claude Code)

npx skills add AojdevStudio/Finance-Guru --skill fin-guru-research -a claude-code -g -y

安装 repo 全部 skill

npx skills add AojdevStudio/Finance-Guru --all -g -y

预览 repo 内 skill

npx skills add AojdevStudio/Finance-Guru --list

SKILL.md

Frontmatter

{
    "name": "fin-guru-research",
    "description": "Execute comprehensive market research workflows. Covers market intelligence gathering, sector analysis, security research, and competitive intelligence with temporal validation."
}

Research Workflow Skill

Execute structured market research with source validation and temporal awareness.

Workflow Steps

Scope Definition — Clarify research objectives, timeframe, and deliverable format
Data Collection — Gather intelligence from multiple sources with temporal qualifiers
Source Validation — Flag market data older than same-day, economic data older than 30 days
Analysis — Apply analytical frameworks to collected data
Synthesis — Produce research summary with confidence levels and data gaps
Handoff — Package findings for downstream analysis (quant, strategy)

Tools Integration

screener_cli.py — Multi-pattern technical screening (8 patterns)
moving_averages_cli.py — Trend identification (SMA/EMA/WMA/HMA)
momentum_cli.py — Confluence analysis (RSI, MACD, Stochastic, Williams %R, ROC)
volatility_cli.py — Regime analysis and opportunity assessment
data_validator_cli.py — Data integrity verification (100% quality required)
itc_risk_cli.py — Market-implied risk scores for supported tickers