agent-tools
A CLI toolkit for AI coding agents to manage local files and interact with external services.
Install & Use
Copy this prompt and send it to your AI assistant (Claude / Cursor / TRAE / Codex / WorkBuddy etc.) to auto-install:
Help me install this AI Skill: agent-tools. It is used for: A CLI toolkit for AI coding agents to manage local files and interact with external services. Full Skill content: https://321skill.com/skills/agent-tools/raw/index.md Read that page and install it.
The prompt includes a link to the full Skill content. You can also view the full content.
Agent Tools addresses the pain point of AI coding agents lacking efficient, structured tool support in local development environments. Through a suite of command-line tools, it enables AI agents to directly search and manage local files, parse data from external services like GitHub comments, and execute predefined development skills—achieving deep integration capabilities without relying on complex protocols such as MCP.
Usage is straightforward: install the toolkit (e.g., agt, logdev) via the installation script to add it to the system PATH. The core tool agt is used to search and acquire modular "Skills," which encapsulate best practices and instructions for specific development tasks; logdev can record logs while executing commands for later review by humans or AI agents.
This toolkit is ideal for developers who need AI agents to deeply participate in local development workflows, especially those looking to seamlessly integrate AI assistants into existing processes and empower them with file operations, contextual understanding, and task execution capabilities. Whether you're a full-stack developer, agent developer, or operations engineer, you can benefit from it.
For first-time use, it is recommended to start by browsing the existing skill library via agt skill search to understand the range of capabilities available to AI agents. Since the tools directly interact with the local file system, when working with sensitive or critical projects, it is advisable to familiarize yourself with their behavior in a test environment first. Note that log files generated by logdev may contain sensitive output and should be managed appropriately.
Key Features
Directly provides AI agents with advanced local file system operations (e.g., search, parsing) and pre-packaged development skills, bypassing the indirect call overhead of protocols like MCP, enabling more real-time and tighter 'agent-environment' integration.
Limitations
Not suitable for AI agent scenarios that only require simple API calls or remote service interactions, without the need for deep local file system operations.
FAQ
What is the difference between Agent Tools and MCP?
Agent Tools directly provides local tools and skills, aiming to replace many MCP use cases, reducing protocol-layer overhead and enabling more direct agent-environment interaction.
What are 'Skills' in the `agt` command?
Skills are modular development workflow guides stored in the `skills/` directory, containing YAML metadata and detailed instructions for AI agents to invoke and execute specific tasks (e.g., receiving code reviews).
Installation guide for AI assistants
If your AI coding assistant (Claude Code, Cursor, TRAE etc.) can see this page, send it this message to auto-install:
Visit https://321skill.com/skills/agent-tools/raw/index.md to read the original Skill definition (Markdown format) for agent-tools, and install it according to the instructions.
Raw Markdown URL for AI: /skills/agent-tools/raw/index.md