Agent-Skills.md

Agent Skills: Research Workflow Skill

Execute comprehensive market research workflows. Covers market intelligence gathering, sector analysis, security research, and competitive intelligence with temporal validation.

UncategorizedID: aojdevstudio/finance-guru/fin-guru-research

Repository

aojdevstudio/finance-guru
AojdevStudioLicense: NOASSERTION
29389

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pnpm dlx add-skill https://github.com/AojdevStudio/Finance-Guru/tree/HEAD/.claude/skills/fin-guru-research

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.claude/skills/fin-guru-research/SKILL.md

Skill Metadata

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

  1. Scope Definition — Clarify research objectives, timeframe, and deliverable format
  2. Data Collection — Gather intelligence from multiple sources with temporal qualifiers
  3. Source Validation — Flag market data older than same-day, economic data older than 30 days
  4. Analysis — Apply analytical frameworks to collected data
  5. Synthesis — Produce research summary with confidence levels and data gaps
  6. 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

Requirements

  • ALL web searches MUST include temporal qualifiers using current date context
  • Separate verified data from assumptions with confidence levels
  • Cite all sources with START/END tags and precise timestamps
  • Flag data gaps relevant to downstream analysis