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Build Trading Strategies

Checked
robonet-tech·vlatest·data

Develops automated trading strategies based on market data and user-defined risk/reward preferences using Robonet-Tech's AI algorithms.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add robonet-tech/skills --skill build-trading-strategies -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

robonet-tech

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned robonet-tech/skills at 2974fa034f.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
2974fa034f
Manifest
skills/build-trading-strategies/SKILL.md
Scanned
1 file, 651 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

This skill generates complete, production-ready Python code for automated crypto trading strategies and Polymarket prediction market strategies using Robonet-Tech's AI algorithms. It takes a strategy concept and detailed requirements as input and returns fully functional code including functions for entry/exit conditions and position sizing. Be aware that this is the most expensive tool in Robonet, costing between $1 and $4.50 per generation.

When to use it

  • You have a clear trading strategy concept with specific indicators and symbols you want to use.
  • You've already explored data availability using browse-robonet-data.
  • You are ready to commit to the relatively high cost of development ($1-$4.50).
  • You need code for a new crypto perpetual trading strategy.
  • You want to generate Polymarket strategies with YES/NO token trading logic.

Key capabilities

  • create_strategy: Generates Python code for crypto trading strategies, including should_long(), should_short(), go_long(), and go_short() functions.
  • create_prediction_market_strategy: Generates Polymarket strategy code with YES/NO token trading logic.
  • Supports risk level designations (H, M, L) in strategy names.
  • Allows specification of entry/exit conditions, position sizing, and risk management rules within the description parameter.

Example prompts

  • "create_strategy(strategy_name='RSIMeanReversion_M', description='Buy when RSI(14) < 30 and price at lower Bollinger Band (20,2). Sell when RSI > 70 or price at middle Bollinger Band. Stop loss at 2% below entry. Position size 90% of available margin.')"
  • "create_prediction_market_strategy(strategy_name='VolatilityBreakout_H', description='Buy YES tokens if implied volatility exceeds 50%.')"
  • "create_strategy(strategy_name='MomentumBreakout_L_v2', description='Enter long position when MACD crosses above signal line. Exit at a predefined take profit level.')"

Tips & gotchas

  • Cost: This is the most expensive tool in Robonet, with costs ranging from $1 to $4.50 per generation.
  • Prerequisites: Before using this skill, ensure you've explored data availability using browse-robonet-data. If you are still exploring ideas, use design-trading-strategies instead.
  • Naming Convention: Strategy names must follow the pattern {Name}_{RiskLevel}[_suffix].