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Herklos AI Skills

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Browse published AI skills maintained by Herklos. Compare skill descriptions and follow each source repository for setup instructions.

Author statistics

Indexed skills

12

Repository stars across indexed skills

0

Repository forks

0

Average repository stars per indexed skill

0

Repository stars may repeat across skills from the same repository.

12 skills

Browse skills

GitHub

octobot

Herklos

Main OctoBot application orchestrating trading, evaluation, backtesting, and services

GitHub

async-channel

Herklos

Asynchronous pub/sub messaging system for OctoBot. Enables decoupled component communication via producer/consumer pattern. Use when implementing inter-component messaging or event-driven architectures.

GitHub

octobot-backtesting

Herklos

Historical data simulation engine for OctoBot. Handles data collection, exchange simulation, and strategy validation. Use when implementing backtesting features, adding data sources, or testing trading strategi...

GitHub

octobot-evaluators

Herklos

Strategy evaluation and signal generation framework for OctoBot. Handles technical indicators, matrix evaluations, and trading signals. Use when creating evaluators, implementing indicators, or building signal...

GitHub

testing-python

Herklos

Python testing best practices with pytest. Covers unit, integration, async tests, mocking, fixtures. Triggers: "write tests", "add tests", "test coverage", "pytest", "unit test", "integration test"

GitHub

octobot-stack

Herklos

Complete development guide for OctoBot Stack multi-repository ecosystem. Covers architecture layers, dependency management, tentacle system, exchange integrations, and testing patterns.

GitHub

octobot-tentacles-manager

Herklos

Tentacle (plugin) installation, management, and version control for OctoBot. Handles tentacle packages, dependencies, and updates. Use when managing tentacles, creating packages, or updating plugins.

GitHub

octobot-trading

Herklos

Core trading engine for OctoBot. Handles exchange connections, order execution, portfolio management, and trading modes. Use when modifying trading logic, adding exchanges, or working with orders and positions.

The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.