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obai-research

Synthesizes qualitative investment research from web sources via the OBaI research MCP server.

11|6|Updated Mar 18, 2026
Search Tags:#semantic search#mcp#competitive analysis#investment research#qualitative analysis#stock research#bull bear
One-click install
npx skills add https://github.com/sixteen-dev/obai --skill obai-research-sixteen-dev
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: obai-research
Source: https://github.com/sixteen-dev/obai/tree/main/skills/obai-research
Command: npx skills add https://github.com/sixteen-dev/obai --skill obai-research-sixteen-dev

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? Investors need qualitative context beyond prices and headlines—business model strength, management quality, product sentiment, and competitive moats—but gathering and synthesizing this from scattered web sources is slow and inconsistent. ## Core Features & Use Cases - Company Deep Dives: Analyze business models, strategy, and market position using Exa semantic web search through the research MCP server. - Management & Product Analysis: Evaluate CEO track records, leadership quality, and user sentiment from reviews, forums, and app stores. - Competitive Landscape Research: Map competitors, market share, and moats, with source freshness scoring to weight recent evidence. - Use Case: Ask for a bull/bear research brief on a company and receive a structured report with cited sources, key risks, and a confidence rating. ## Quick Start Ask the assistant to research a company's competitive moat and management quality, providing the ticker and full company name.

Frequently Asked Questions about obai-research

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I research a company's competitive landscape with AI?▼

Provide the ticker symbol and full company name, then the research_competitive_landscape_tool runs Exa semantic web searches on competitors, market share, and moats. Results are synthesized into a bull/bear brief with cited source domains and a confidence rating.

What qualitative stock research can this skill perform?▼

It covers business model analysis, CEO and management track records, product sentiment from reviews and forums, competitive positioning, and open-ended thematic research. It uses five specialized tools on the OBaI research MCP server at localhost:8008.

Can I use this for live stock prices or breaking news?▼

No. Live prices and technicals route to the obai-market-data skill, while breaking news, headlines, and earnings results route to obai-events-news. SEC filings and insider trades belong to obai-fundamentals.

Why does the research tool need the full company name?▼

Semantic search on a bare ticker returns weak results, so all tools except research_general_tool require both symbol and company_name. Resolve the full name first, for example via the obai-screening skill.

How does the skill handle outdated research sources?▼

Every result includes a freshness field: recent, older, stale, or unknown. Recent sources are weighted heavily, stale sources are discarded unless historical context was requested, and mostly old results trigger a lowered Research Confidence warning.

What happens when a research tool call fails?▼

The skill notes [DATA UNAVAILABLE: reason] and continues with remaining sources without retrying, since the server handles retries internally. It never fabricates sources or claims to fill gaps.

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