skills.rest
robonet-tech
robonet-techOFFICIAL
Explore all skills by this author →
Website𝕏@RoboNetHQGitHub

browse-robonet-data

Explore Robonet trading resources with eight read-only data tools.

1|Updated Feb 2, 2026
Search Tags:#symbols#indicators#explore#backtest#Allora#strategies#data-availability
One-click install
npx skills add https://github.com/robonet-tech/skills --skill browse-robonet-data
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: browse-robonet-data
Source: https://github.com/robonet-tech/skills/tree/main/skills/browse-robonet-data
Command: npx skills add https://github.com/robonet-tech/skills --skill browse-robonet-data

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill provides fast, read-only access to Robonet's trading resources, enabling users to discover available resources quickly without incurring large costs.

Core Features & Use Cases

  • Read-only access to eight data tools: get_all_strategies, get_strategy_code, get_strategy_versions, get_all_symbols, get_all_technical_indicators, get_allora_topics, get_data_availability, get_latest_backtest_results.
  • Quick data discovery to understand assets, indicators, ML topics, and backtest results.
  • Use Case: Before building or backtesting, browse resources to identify available strategies and data coverage.

Quick Start

  1. Load the eight tools: mcp__workbench__get_all_strategies, mcp__workbench__get_strategy_code, mcp__workbench__get_strategy_versions, mcp__workbench__get_all_symbols, mcp__workbench__get_all_technical_indicators, mcp__workbench__get_allora_topics, mcp__workbench__get_data_availability, mcp__workbench__get_latest_backtest_results.

Frequently Asked Questions about browse-robonet-data

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

FAQPage Schema
How do I browse available trading symbols and indicators before building a strategy?▼

You can browse trading symbols and indicators by loading read-only data tools like get_all_symbols and get_all_technical_indicators, which expose available assets and indicators for quick discovery at near-zero cost.

What is the best way to explore existing trading strategies and their backtest results?▼

Exploring existing strategies and backtest results is done using get_all_strategies, get_strategy_code, and get_latest_backtest_results tools, which return structured data for fast review without modifying any resources.

Can I check data availability for Allora topics before starting strategy development?▼

Yes, data availability for Allora topics can be checked using the get_allora_topics and get_data_availability tools, allowing you to verify ML topic coverage and data readiness before committing to development.

Does this approach support retrieving strategy versions and source code?▼

Retrieving strategy versions and source code is supported through get_strategy_code and get_strategy_versions, providing structured read-only access to historical strategy logic at minimal cost.

Why use read-only data tools for trading resource discovery instead of direct database access?▼

Read-only data tools provide low-latency, structured API-based access to trading resources, ensuring minimal cost and safe exploration without the risk of modifying underlying data during strategy discovery.

What limitations should I expect when browsing Robonet trading data?▼

The primary limitation is read-only behavior; these eight data tools support exploration and discovery of symbols, indicators, and strategies but cannot execute, modify, or write backtest configurations.

Related Skills

Explore More Data & Analytics Skills→
robonet-techrobonet-tech
1

robonet-workbench

Builds, backtests, optimizes, and deploys trading strategies via Robonet MCP tools.

Official
Advanced
PasinduUpendraPasinduUpendra

backtest-expert

Run v4 production-grade backtests and analyze trading strategy results.

Community
Advanced
jayjpatel9717jayjpatel9717

technical-analysis

Automate technical analysis on stock market data using pandas and numpy.

Community
Intermediate
somachaksomachak

reviewing-sql-performance

Analyze EXPLAIN ANALYZE output to identify inefficient SQL queries and recommend indexing strategies.

Community
Intermediate