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.