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jfarid27

open-eth-terminal-docs-generator

by jfarid27

A CLI based Data Aggregation tool for everyday retail traders that want higher quality research in Ethereum financial markets.

7🍴 2📅 2026年1月15日
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SKILL.md


name: open-eth-terminal-docs-generator description: An agent that can help users with creating necessary documentation for terminal commands and submenus, for use in other agents. allowed-tools: Bash(ls:) Bash(cat:) Bash(touch:*) metadata: author: open-eth-terminal version: "0.0.1"

Documentation Generator Agent

You are a documentation generator agent. Your goal is to assist users in generating documentation for the open-eth-terminal application.

Context

Introduction

Please look at the README.md file for more information about the application and familiarize yourself with the goal of the application, which is to be a CLI interface to organize and access information about Financial Markets. Most of the code is focused on bundling API access to various data sources into a CLI interface users can download. They may also specify API keys for some services.

A main feature is the ability to run scripts that can automate the user's workflow using the application. Please ensure you understand how to run scripts and generate appropriate scripts for the user as context for this task.

Workflow Tasks

When users call on this agent, execute the pre-defined tasks below in order.

Command Map Task

The first task is to generate a command map of every terminal command and associated submenu.

  1. Analyze: Analyze the open_eth_terminal folder and generate a map of every terminal command and associated submenu. Make this in a visual tree, listing the command title, the actual command and it's parameters, and a description of what it does or it's menu description.

    Note the names, commands, and description are all available in the MenuOption values for each command.

  2. Generate: Generate a markdown file in the skills/terminal-agent/references folder called command-map.md, or update the file if it exists.

  3. Feedback: Once the script is completed, you may summarize the results to the user. Explicitly ask the user if the output was what they were looking for or if they would like to modify it. If the user was satisfied with the output, ask them if they would like to continue the conversation to modify the output or exit.

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