investment-research-briefs

Create concise investment research briefs, company memos, sector snapshots, portfolio monitoring updates, earnings/news summaries, risk and catalyst briefs,…

npx skills add https://github.com/tavily-ai/use-case-skills --skill investment-research-briefs

Investment Research Briefs

Workflow

Use search and extract for quick investor briefs and source checks, research for full investment memos, and map or crawl only for large known source collections. Keep this skill focused on research design, source selection, verification, and synthesis; execution mechanics should come from companion endpoint skills.

Treat the guidance below as base guidance; adapt it to the user's request when appropriate.

  • Define the target, investor lens, geography, timeframe, asset type, and desired depth.
  • For quick briefs, split into short subqueries under 400 characters: business overview, market position, financial/operating signals, recent developments, competitors, risks, catalysts, and valuation/comps if requested.
  • Prefer filings, investor relations pages, earnings materials, company pages, regulators, exchanges, reputable financial media, and market sources.
  • For deeper memos, provide a clear research goal, known context, constraints, target market, and desired output shape.
  • Verify specific metrics, quotes, management claims, filings, and high-impact assertions against original or authoritative sources.
  • Separate sourced facts, inferred interpretation, and open diligence questions.

Research Budget

  • Start with a small focused search set covering business context, recent developments, financial/operating signals, and risks/catalysts.
  • Extract only the strongest sources before drafting a concise brief.
  • Add more searches only for named gaps, such as missing filing evidence, missing earnings context, or missing competitor context.
  • Do not use map unless a known investor-relations, filing, transcript, or presentation library has buried pages.
  • Do not use research unless the user asks for a full memo, sector landscape, or multi-source thesis.

Capability Guidance

  • Use search for fast discovery across companies, sectors, filings, news, competitors, and market context.
  • Use extract to verify metrics, quotes, filings, management claims, transcripts, and other high-impact assertions.
  • Use research for full investment memos, sector landscapes, or multi-source thesis work.
  • Use map or crawl only for large investor-relations, filing, transcript, or presentation libraries.

Query And Source Guidance

  • Use company legal name, ticker, product names, segment names, geography, competitor names, and reporting period in queries.
  • For public companies, prioritize original filings, earnings calls, investor presentations, regulator pages, and exchange notices.
  • For private companies, triangulate from company pages, funding announcements, customer stories, hiring, product documentation, and credible press.
  • For recent developments, make the timeframe explicit in the query.
  • For competitor or sector work, build separate subqueries for category, demand drivers, pricing, regulation, customer adoption, and risks.
  • Include known assumptions or prior context in broad research requests to avoid rediscovering what is already known.
  • Report failed or unavailable sources when they affect filings, transcripts, IR pages, market data, or cited claims.

Output Template

Use this markdown structure and adapt sections to the user's mandate:

# Investment Brief: <company/sector/theme>

## Executive Summary
<concise bullets with the main investor-relevant takeaways>

## Business And Market Context
- Business model:
- Customers/segments:
- Market position:
- Competitors:

## Recent Developments
- <dated development with source>

## Signals
- Financial or operating signals:
- Product, customer, hiring, or partnership signals:
- Regulatory or macro signals:

## Risks
- <risk>: <evidence and uncertainty>

## Catalysts And Watch Items
- <catalyst/watch item>: <why it matters>

## Open Diligence Questions
- <question>

## Sources
- [Source title](URL) - <what it supports>

Do not provide personalized financial advice. State when source coverage is thin, stale, or incomplete.

More skills from tavily-ai

research
tavily-ai
Comprehensive research on any topic with automatic source gathering, analysis, and citations. Conducts multi-source web research with explicit citations, ideal for comparisons, current events, market analysis, and detailed reports Offers three model options: mini for targeted single-topic research (~30s), pro for comprehensive multi-angle analysis (~60-120s), and auto for API-driven complexity detection Authenticates via OAuth through Tavily MCP server with automatic browser-based login on...
official
search
tavily-ai
Web search with LLM-optimized results, relevance scoring, and flexible filtering. Supports four search depth modes (ultra-fast, fast, basic, advanced) with configurable latency and relevance tradeoffs Includes domain filtering, time range constraints, date ranges, country boosting, and raw content extraction Returns results with title, URL, content snippet, and relevance score; optional image results and favicons Automatic OAuth authentication via Tavily MCP server or API key configuration;...
official
tavily-best-practices
tavily-ai
Web search API for LLMs with real-time data access, content extraction, site crawling, and AI-powered research. Five core methods: search() for web results, extract() for URL content, crawl() for site-wide extraction, map() for URL discovery, and research() for end-to-end AI synthesis Supports Python and JavaScript SDKs with async clients for parallel queries and configurable search depth (ultra-fast/fast/basic/advanced) Crawl method accepts semantic instructions to focus extraction on...
official
tavily-cli
tavily-ai
Web search, content extraction, site crawling, and deep research via Tavily CLI. Five command modes covering search, extraction, URL discovery, bulk crawling, and multi-source research with citations All commands support JSON output and file saving for structured, agentic workflows Escalation pattern guides you from simple search through extraction, mapping, crawling, to comprehensive research based on your needs Requires tavily-cli installation and API key authentication via tvly login
official
tavily-crawl
tavily-ai
Multi-page website crawler with semantic filtering and markdown export. Crawl entire site sections with depth and breadth control; filter by path regex, domain, or natural language instructions to focus results Save each page as local markdown files via --output-dir , or return structured JSON for agentic processing Use semantic instructions with chunk extraction to prevent context bloat when feeding results to LLMs; use full-page extraction for offline documentation downloads Supports...
official
tavily-dynamic-search
tavily-ai
Search the web, filter results, and extract content so that raw search data never enters your context window . Only your curated print() output comes back.
official
tavily-extract
tavily-ai
Extract clean markdown or text from up to 20 URLs, with JavaScript rendering and query-focused chunking support. Handles JavaScript-rendered pages with configurable extraction depth (basic for simple pages, advanced for dynamic SPAs and tables) Supports query-focused extraction to return only relevant content chunks instead of full pages Returns LLM-optimized markdown by default, with options for plain text format and structured JSON output Processes up to 20 URLs in a single call;...
official
tavily-map
tavily-ai
Fast URL discovery on websites without extracting content, ideal for finding specific pages on large sites. Returns structured lists of all URLs on a domain with configurable depth and breadth, regex path filtering, and natural language instructions for semantic filtering Supports depth control (1–5 levels), breadth limits per page, external link inclusion/exclusion, and domain filtering via regex patterns Designed as step 1 in a workflow: map to find the right page, then use extract or...
official