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- multi agent market research desk
multi agent market research desk
A multi-agent research orchestrator that synthesizes technical, fundamental, and macro data into weighted briefs.
$5
Works with the AI tools you already use
multi agent market research desk
Example session with this skill installed
Run a full desk analysis on NVIDIA (NVDA) ahead of their earnings call next week. Include macro context and technical levels.
- Read your context and instructions
- Compiled the multi agent market
Research Brief: NVIDIA (NVDA)
Executive Summary
- Bottom line: Bullish bias tempered by high macro risk.
- Actionable recommendation: Maintain position; tight stops at $118.
- Confidence level: High
Evidence-Weighted Conclusions
- AI demand remains primary growth driver — Evidence grade: A
- Technical overextension on daily RSI — Evidence grade: B
Points of Conflict
- Macro vs. Fundamentals: Macro desk flags chip export curbs; Fundamentals desk sees offsetting data center demand.
- Resolution: Fundamentals weighted higher due to verified backlog data.
Connects securely to your tools. The creator never sees your data.
What you get
About this skill
The problem
Single-source market analysis often ignores tail risks or macro shifts, leading to confirmation bias. Most analysts struggle to reconcile conflicting signals between technical indicators and fundamental valuations.
What it does
- Coordinates six specialist agent roles: Technicals, Fundamentals, Macro, News, Risk, and Verification.
- Calculates evidence scores (0.0 to 1.0) based on source primary/secondary status and agent confidence levels.
- Applies a formal conflict resolution framework to weigh shorter-term technicals against long-term fundamentals.
- Generates a structured research brief with graded conclusions (A-D) and identified information gaps.
- Filters out unverified claims or anonymous speculation using a dedicated Verification Agent.
Why this beats prompting it yourself
Instead of getting a generic summary, you get a rigorous multi-perspective audit. This skill enforces strict evidence-weighting rules and mathematical confidence scoring that a single-prompt approach lacks. It systematically surfaces contradictions between data sources rather than smoothing them over.
Use cases
- Conducting pre-trade due diligence on equities or crypto assets.
- Synthesizing macro regimes with specific asset price action for portfolio rebalancing.
- Vetting breaking news events against historical fundamentals and technical support levels.
- Identifying tail risks and correlation threats before entering high-conviction positions.
Known limitations
Requires access to external data sources or search tools to populate agent reports effectively. Performance depends on the quality of underlying financial data provided in the context.
How to install
Works the same in every agent - Claude, Cursor, Codex, Copilot and 20+ more.
- 1
Download the ZIP
Free skills download straight away. Paid skills unlock right after purchase.
- 2
Unzip into your skills folder
Every agent reads skills from one folder on your machine. Drop the unzipped folder in there.
- 3
Ask your agent to use it
Restart the agent if it was already running. It picks the skill up automatically - no config needed.
Skills folder by agent
Click the path to copy it. Create the folder if it does not exist yet.
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Security scanned
Verified clean 26 days ago
- Passed all security checks, Safe to install