research-goal

Track financial research objectives, acceptance criteria, and verified evidence.

Updated Jun 30, 2026
One-click install
npx skills add https://github.com/20YN04/vibe-trading-macos --skill research-goal-20yn04
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: research-goal
Source: https://github.com/20YN04/vibe-trading-macos/tree/main/agent/src/skills/research-goal
Command: npx skills add https://github.com/20YN04/vibe-trading-macos --skill research-goal-20yn04

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill solves the problem of fragmented or aimless financial research by enforcing a structured, evidence-based workflow that prevents premature or unauthorized trading execution.

Core Features & Use Cases

  • Goal Tracking: Maintains a persistent research objective with defined acceptance criteria to ensure comprehensive analysis.
  • Evidence Auditing: Links specific market data, backtests, or document findings to research criteria for verifiable conclusions.
  • Use Case: When investigating a potential investment thesis, use this skill to track your research progress across multiple sessions, ensuring all criteria are met before reaching a final, audited conclusion.

Quick Start

Start a new research goal to evaluate the long-term performance of the tech sector compared to the S&P 500 index.

Frequently Asked Questions about research-goal

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

FAQPage Schema
How do I track financial research objectives across multiple sessions?

You can track financial research objectives across multiple sessions by maintaining a persistent research goal with defined acceptance criteria. This structured approach links specific market data and backtests to verifiable conclusions, ensuring comprehensive analysis.

What is the best way to audit an investment thesis using market evidence?

Auditing an investment thesis using market evidence involves linking specific market data, backtests, or document findings directly to research criteria. This evidence-based auditing ensures all conclusions are verifiable and backed by traceable data.

How do I prevent live trading execution during market regime analysis?

Preventing live trading execution during market regime analysis requires strict adherence to research-only boundaries. This constraint ensures that complex analysis tasks focus purely on strategy comparison and thesis auditing without triggering unauthorized trades.

Can I use this structured research workflow for strategy comparison?

Yes, you can use this structured research workflow for strategy comparison. The system manages multi-step financial research workflows by tracking objectives and acceptance criteria, which facilitates complex analysis tasks like comparing trading strategies.

How do I ensure my financial analysis conclusions are backed by traceable evidence?

Ensuring financial analysis conclusions are backed by traceable evidence requires an evidence auditing process. This mechanism links specific market data and backtests directly to research criteria, preventing premature conclusions until all criteria are met.

What are the limitations of using research-only boundaries for financial analysis?

The limitation of research-only boundaries is the strict prevention of live trading execution. While this ensures all conclusions are backed by traceable evidence, it restricts the workflow to strategy comparison and thesis auditing rather than actionable trade deployment.