agent-skilltree is an open-source Python package that enables developers to organize, manage, and validate agent skill trees using coordinate addressing and programmatic validation. Below are 8 ai & ml apps with similar functionality to agent-skilltree, matched by what each product actually does — not ranked or scored. Explore each to find the closest fit for your use case.
skills-tree is an open-source Python package that provides a taxonomy-driven skill recommendation engine for AI agent builders. It helps developers identify and integrate relevant skills into their AI agents using structured recommendations. Designed for use in LLM and agent-based workflows.
<!-- ~ Copyright (c) 2025-2026 Datalayer, Inc. ~ ~ BSD 3-Clause License --> [](https://datalayer.io) [](https://github.com/sponsors/datalayer) # 🧰 Agent Skills [](https://pypi.org/project/agent-skills) **Reusable Agent Skills**: Create, manage, and execute reusable code-based tool compositions for AI agents. For more information, see the [Agent Skills community website](https://agentskills.io), the [specification](https://agentskills.io/specification), and the [integration guide](https://agentskills.io/integrate-skills). ## Overview Agent Skills provides a simple and powerful way for AI agents to build their own toolbox. Skills are Python files that compose MCP tools and other skills to accomplish specific tasks. Agent Codemode consumes skills from this package. If you are using agent-codemode, import skill utilities from `agent_skills`. ### How It Works 1. **Skills are code files**: Python files in a `skills/` directory with asyn
agent-skill-installer is an open-source CLI tool that enables developers to install and manage agent skills in their projects. It is designed for projects that distribute or consume modular agent skills, supporting easy integration and updates.
Agent Skill infrastructure: quality check, behavior test runner, version awareness
agent-skill-scanner is an open-source CLI tool that scans agent skill files for security vulnerabilities, including prompt injection, capability escalation, and data exfiltration. It applies 22 security rules to help AI developers and security researchers identify and mitigate risks in LLM agent skills. The tool is MIT licensed and suitable for anyone building or auditing AI agent systems.
abvx-agent-skills is an open-source Python package offering small, reviewable, validation-gated skills for autonomous agents in Codex-style project automation. It is designed for developers building or extending agent frameworks, providing modular and testable skills under an MIT license.
agent-skill-eval is an open-source CLI framework for evaluating the skills of code-generating agents across models like OpenCode, Claude Code, and Codex. It enables researchers and developers to benchmark agent performance using standardized tests.
Agent Skills is an open-source infrastructure project that defines a standardized format for adding new skills and workflows to AI agents. It enables developers to bundle instructions, scripts, and resources, making it easier to extend agent capabilities in a modular way.
