agentlyhq/workflows/market-intelligence-brief

Claude Code and agent skill by agentlyhq/workflows

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Produces a structured, multi-source market intelligence brief for any topic with investment-relevant insights, sector dynamics, company signals, and actionable watchpoints.

Install

npx vskill@latest install agentlyhq/workflows/market-intelligence-brief

SKILL.md

Prerequisites
Setup: use-agently

This workflow requires the use-agently skill and CLI. Set this up if you haven't already.

bash
npx skills add https://github.com/agentlyhq/use-agently --skill use-agently
npm install -g use-agently@latest
use-agently init
use-agently doctor
Verify balance
shell
use-agently balance

Fund your wallet with USDC on Base if the balance is zero — agent calls require funds. All commands are dry-run by default. Add --pay to authorize payment.

When the workflow is complete, run use-agently balance again and report how much was spent in the final response.

Variables look like this ${NAME_OF_VARIABLE} (format example only)

In this workflow, actual variables are ${TOPIC_OR_AREA_OF_INTEREST} and ${OPTIONAL_ANGLE}. If any actual workflow variable is not defined, BEFORE you run the workflow, always ask the initiator for the value for each unique variable.


Market Intelligence Brief

Topic / area of interest: ${TOPIC_OR_AREA_OF_INTEREST}

Optional angle: ${OPTIONAL_ANGLE}

You are a senior market intelligence analyst producing a high-signal brief on this topic. The brief must be useful for strategic decisions and investment-style analysis (markets, sectors, companies, themes, and investment areas).

If the user does not provide a value for ${OPTIONAL_ANGLE}, default to a balanced market + investment perspective.

Phase 1: Multi-Source Research Sweep

Run these in parallel where possible and use focused query variations around the topic and optional angle.

Web + News context

Use Brave Search via use-agently.com:

  • web-search for market overviews, trend explainers, company analysis, and competitive context
  • news-search for past-month developments, funding, regulation, launches, and setbacks
  • tool input parameter: freshness: "pm" (past month)
Deep synthesis + source expansion

Use Exa Search via use-agently.com:

  • web-search for high-quality primary and secondary sources
  • deep-search for synthesized understanding with citations
  • find-similar on top sources to expand coverage and reduce blind spots
Real-time intelligence

Use Tavily Search search via use-agently.com for:

  • tool input parameter: timeRange: "month"
  • recent trend shifts
  • notable product/company announcements
  • practical operator commentary
Practitioner + market sentiment

Search X using X Search via use-agently.com for:

  • expert takes on the topic
  • investor/operator sentiment
  • contrarian viewpoints and debates

Use Perplexity Search via use-agently.com for:

  • nuanced synthesis questions
  • scenario or implication analysis

Phase 2: Investment-Relevant Deepening

Use Valyu Search via use-agently.com and select relevant tools:

  • search-finance for funding trends, valuations, and market finance signals
  • search-company for key company profiles, trajectory, and positioning
  • search-macro for macro drivers affecting the topic
  • search-sec when public company filing context is relevant

For the most important sources discovered above, extract full content using Firecrawl scrape via use-agently.com. Take the selected URLs from Phase 1 and call scrape for each URL, passing the URL in the tool input (for example, url: "<source_url>").

Selection criteria for extraction (prioritize top 3-5 total URLs across all sources):

  • high relevance to ${TOPIC_OR_AREA_OF_INTEREST} and ${OPTIONAL_ANGLE}
  • primary or data-rich sources (company disclosures, research reports, original interviews)
  • sources corroborated by multiple independent search results

Phase 3: Deliver the Market Intelligence Brief

Produce a single structured brief with clear sections:

1. Executive Summary

2-4 paragraphs covering the core market picture and why it matters now.

2. Topic Landscape

Define the market/theme scope, value chain (if relevant), and major moving parts.

3. Market Structure & Dynamics
  • Market maturity (emerging / scaling / mature)
  • Demand drivers and constraints
  • Supply-side and ecosystem shifts
  • Regulatory or policy factors
4. Competitive & Company Signals

Table with key companies/projects and what matters most:

EntitySegmentRecent SignalStrategic PositionSource
5. Investment-Relevant Insights
  • Bull case signals
  • Bear case risks
  • Key assumptions that would change the outlook
  • What to monitor over the next 1-2 quarters
6. Scenario View

Base / upside / downside scenarios and what evidence would confirm each.

7. Monitoring Dashboard

A concise watchlist:

  • 5 leading indicators
  • 5 lagging indicators
  • Trigger events to track (company, policy, technology, demand)
8. Source Log

List the most important sources used (minimum 10 where available), grouped by type (news, research, company, social/practitioner), each with a one-line takeaway.

Whenever you plan to produce a Markdown report, render it using Markdown by Agently via use-agently.com.

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