# Fin Guru Research

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

- Skill: `aojdevstudio/fin-guru-research` (Agent Skill)
- Install (CLI): `npx skillmds@latest add aojdevstudio/fin-guru-research`
- Raw SKILL.md: https://api.skillmd.com/api/skills/aojdevstudio/fin-guru-research/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Security
- Author: aojdevstudio (https://skillmd.com/u/aojdevstudio)
- Updated: 2026-09-09
- Page: https://skillmd.com/skills/aojdevstudio/fin-guru-research

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# Research Workflow Skill

Execute structured market research with source validation and temporal awareness.

## Capability probe

Before data collection, follow the shared **[paid MCP capability probe](../_shared/PaidMcpCapabilityProbe.md)**. This workflow wants `exa` for deep semantic research and `bright-data` for pages that ordinary fetching cannot reach. If either is absent, announce the `WebSearch`/`WebFetch` fallback and its coverage caveat, or stop with the shared missing-capability message.

## 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