tradingview-operator-playbook

Apply a rule-based decision tree to sequence TradingView commands.

1|Updated Apr 3, 2026
One-click install
npx skills add https://github.com/FPXszk/Oh-MY-TradingView --skill tradingview-operator-playbook
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: tradingview-operator-playbook
Source: https://github.com/FPXszk/Oh-MY-TradingView/tree/main/.agents/skills/tradingview-operator-playbook
Command: npx skills add https://github.com/FPXszk/Oh-MY-TradingView --skill tradingview-operator-playbook

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill provides a structured decision framework to determine which TradingView related tools and workflows to use in different scenarios, reducing cognitive load and avoiding anti-patterns.

Core Features & Use Cases

  • Clear decision guidance for selecting appropriate tv commands (market_, reach_, workspace_*, observe) based on user goals.
  • Anti-pattern awareness that helps avoid common mistakes such as overusing CDP operations or mixing incompatible tool sequences.
  • Use case examples covering market data queries, social/web observations, and workspace/state management.

Quick Start

Follow the decision tree to identify the correct tv tool sequence for your objective.

Frequently Asked Questions about tradingview-operator-playbook

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

FAQPage Schema
How do I determine the correct TradingView tool sequence for market data queries?

To determine the correct TradingView tool sequence, apply a rule-based decision tree that guides tool selection for market data, social observation, and workspace management. This framework defines required usage patterns to ensure deterministic operation.

What are common anti-patterns when managing TradingView workspace commands?

Common anti-patterns when managing TradingView workspace commands include overusing CDP operations and mixing incompatible tool sequences. A structured decision framework defines safe, deterministic patterns to avoid these mistakes and reduce cognitive load.

When should I use observe commands versus market data tools in TradingView workflows?

You should select observe commands for social or web observation scenarios, whereas market data tools apply to financial data queries. A decision tree evaluates your specific objective to identify the appropriate command type and optimal execution order.

How does the decision tree mechanism work for selecting TradingView tools?

The decision tree mechanism works by applying rule-based logic to your objective, evaluating whether the task requires market data, social observation, or workspace management. It then outputs a deterministic tool sequence with defined anti-patterns to prevent errors.

Can I use this decision framework to order multiple TradingView reach commands?

Yes, you can use this framework to order multiple TradingView reach commands. It applies rule-based logic to sequence reach_*, market_*, and workspace_* commands safely, ensuring deterministic operation by strictly avoiding incompatible tool combinations.