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. 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

Output

Return the fin-guru-output-contract skill. Cite each web source under Evidence with its publisher, date, and URL. A claim without a dated source goes under Assumptions and gaps, not under Bottom line.

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