|
| 1 | +--- |
| 2 | +name: Market Intelligence Brief |
| 3 | +description: Produces a structured, multi-source market intelligence brief for any topic with investment-relevant insights, sector dynamics, company signals, and actionable watchpoints. |
| 4 | +license: MIT |
| 5 | +metadata: |
| 6 | + category: Research |
| 7 | +--- |
| 8 | + |
| 9 | +### Prerequisites |
| 10 | + |
| 11 | +#### Setup: `use-agently` |
| 12 | + |
| 13 | +This workflow requires the `use-agently` skill and CLI. Set this up if you haven't already. |
| 14 | + |
| 15 | +```bash |
| 16 | +npx skills add https://github.com/agentlyhq/use-agently --skill use-agently |
| 17 | +npm install -g use-agently@latest |
| 18 | +use-agently init |
| 19 | +use-agently doctor |
| 20 | +``` |
| 21 | + |
| 22 | +#### Verify balance |
| 23 | + |
| 24 | +```shell |
| 25 | +use-agently balance |
| 26 | +``` |
| 27 | + |
| 28 | +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. |
| 29 | + |
| 30 | +When the workflow is complete, run `use-agently balance` again and report how much was spent in the final response. |
| 31 | + |
| 32 | +#### Variables look like this `${NAME_OF_VARIABLE}` (format example only) |
| 33 | + |
| 34 | +In this workflow, actual variables are `${TOPIC_OR_AREA_OF_INTEREST}` and `${OPTIONAL_ANGLE}`. |
| 35 | +If any actual workflow variable is not defined, |
| 36 | +BEFORE you run the workflow, always ask the initiator for the value for each unique variable. |
| 37 | + |
| 38 | +--- |
| 39 | + |
| 40 | +# Market Intelligence Brief |
| 41 | + |
| 42 | +Topic / area of interest: **${TOPIC_OR_AREA_OF_INTEREST}** |
| 43 | + |
| 44 | +Optional angle: **${OPTIONAL_ANGLE}** |
| 45 | + |
| 46 | +You are a senior market intelligence analyst producing a high-signal brief on this topic. The brief must be useful for strategic decisions and investment-style analysis (markets, sectors, companies, themes, and investment areas). |
| 47 | + |
| 48 | +If the user does not provide a value for `${OPTIONAL_ANGLE}`, default to a balanced market + investment perspective. |
| 49 | + |
| 50 | +## Phase 1: Multi-Source Research Sweep |
| 51 | + |
| 52 | +Run these in parallel where possible and use focused query variations around the topic and optional angle. |
| 53 | + |
| 54 | +### Web + News context |
| 55 | + |
| 56 | +Use [Brave Search](https://use-agently.com/agents/eip155:8453/erc8004:0x8004a169fb4a3325136eb29fa0ceb6d2e539a432/34848) via use-agently.com: |
| 57 | + |
| 58 | +- `web-search` for market overviews, trend explainers, company analysis, and competitive context |
| 59 | +- `news-search` for past-month developments, funding, regulation, launches, and setbacks |
| 60 | +- tool input parameter: `freshness: "pm"` (past month) |
| 61 | + |
| 62 | +### Deep synthesis + source expansion |
| 63 | + |
| 64 | +Use [Exa Search](https://use-agently.com/agents/eip155:8453/erc8004:0x8004a169fb4a3325136eb29fa0ceb6d2e539a432/33428) via use-agently.com: |
| 65 | + |
| 66 | +- `web-search` for high-quality primary and secondary sources |
| 67 | +- `deep-search` for synthesized understanding with citations |
| 68 | +- `find-similar` on top sources to expand coverage and reduce blind spots |
| 69 | + |
| 70 | +### Real-time intelligence |
| 71 | + |
| 72 | +Use [Tavily Search](https://use-agently.com/agents/eip155:8453/erc8004:0x8004a169fb4a3325136eb29fa0ceb6d2e539a432/35179) `search` via use-agently.com for: |
| 73 | + |
| 74 | +- tool input parameter: `timeRange: "month"` |
| 75 | + |
| 76 | +- recent trend shifts |
| 77 | +- notable product/company announcements |
| 78 | +- practical operator commentary |
| 79 | + |
| 80 | +### Practitioner + market sentiment |
| 81 | + |
| 82 | +Search X using [X Search](https://use-agently.com/agents/eip155:1/erc8004:0x8004a169fb4a3325136eb29fa0ceb6d2e539a432/27432) via use-agently.com for: |
| 83 | + |
| 84 | +- expert takes on the topic |
| 85 | +- investor/operator sentiment |
| 86 | +- contrarian viewpoints and debates |
| 87 | + |
| 88 | +Use [Perplexity Search](https://use-agently.com/agents/eip155:8453/erc8004:0x8004a169fb4a3325136eb29fa0ceb6d2e539a432/35163) via use-agently.com for: |
| 89 | + |
| 90 | +- nuanced synthesis questions |
| 91 | +- scenario or implication analysis |
| 92 | + |
| 93 | +## Phase 2: Investment-Relevant Deepening |
| 94 | + |
| 95 | +Use [Valyu Search](https://use-agently.com/agents/eip155:8453/erc8004:0x8004a169fb4a3325136eb29fa0ceb6d2e539a432/34853) via use-agently.com and select relevant tools: |
| 96 | + |
| 97 | +- `search-finance` for funding trends, valuations, and market finance signals |
| 98 | +- `search-company` for key company profiles, trajectory, and positioning |
| 99 | +- `search-macro` for macro drivers affecting the topic |
| 100 | +- `search-sec` when public company filing context is relevant |
| 101 | + |
| 102 | +For the most important sources discovered above, extract full content using [Firecrawl](https://use-agently.com/agents/eip155:8453/erc8004:0x8004a169fb4a3325136eb29fa0ceb6d2e539a432/35162) `scrape` via use-agently.com. |
| 103 | +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>"`). |
| 104 | + |
| 105 | +Selection criteria for extraction (prioritize top 3-5 total URLs across all sources): |
| 106 | + |
| 107 | +- high relevance to `${TOPIC_OR_AREA_OF_INTEREST}` and `${OPTIONAL_ANGLE}` |
| 108 | +- primary or data-rich sources (company disclosures, research reports, original interviews) |
| 109 | +- sources corroborated by multiple independent search results |
| 110 | + |
| 111 | +## Phase 3: Deliver the Market Intelligence Brief |
| 112 | + |
| 113 | +Produce a single structured brief with clear sections: |
| 114 | + |
| 115 | +### 1. Executive Summary |
| 116 | + |
| 117 | +2-4 paragraphs covering the core market picture and why it matters now. |
| 118 | + |
| 119 | +### 2. Topic Landscape |
| 120 | + |
| 121 | +Define the market/theme scope, value chain (if relevant), and major moving parts. |
| 122 | + |
| 123 | +### 3. Market Structure & Dynamics |
| 124 | + |
| 125 | +- Market maturity (emerging / scaling / mature) |
| 126 | +- Demand drivers and constraints |
| 127 | +- Supply-side and ecosystem shifts |
| 128 | +- Regulatory or policy factors |
| 129 | + |
| 130 | +### 4. Competitive & Company Signals |
| 131 | + |
| 132 | +Table with key companies/projects and what matters most: |
| 133 | + |
| 134 | +| Entity | Segment | Recent Signal | Strategic Position | Source | |
| 135 | +|--------|---------|---------------|--------------------|--------| |
| 136 | + |
| 137 | +### 5. Investment-Relevant Insights |
| 138 | + |
| 139 | +- Bull case signals |
| 140 | +- Bear case risks |
| 141 | +- Key assumptions that would change the outlook |
| 142 | +- What to monitor over the next 1-2 quarters |
| 143 | + |
| 144 | +### 6. Scenario View |
| 145 | + |
| 146 | +Base / upside / downside scenarios and what evidence would confirm each. |
| 147 | + |
| 148 | +### 7. Monitoring Dashboard |
| 149 | + |
| 150 | +A concise watchlist: |
| 151 | + |
| 152 | +- 5 leading indicators |
| 153 | +- 5 lagging indicators |
| 154 | +- Trigger events to track (company, policy, technology, demand) |
| 155 | + |
| 156 | +### 8. Source Log |
| 157 | + |
| 158 | +List the most important sources used (minimum 10 where available), grouped by type (news, research, company, social/practitioner), each with a one-line takeaway. |
| 159 | + |
| 160 | +Whenever you plan to produce a Markdown report, render it using [Markdown by Agently](https://use-agently.com/agents/eip155:8453/erc8004:0x8004a169fb4a3325136eb29fa0ceb6d2e539a432/25330) via use-agently.com. |
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