Python 3.10.11 : python library-skills for your artificial intelligence.

The Python package library-skills is a lightweight command‑line toolkit designed to help developers build, test, and validate modular AI “skills.” These skills are small, self‑contained units of logic that can be executed independently or integrated into larger AI agents. The package focuses on simplicity, portability, and clear structure, making it useful for developers who want to experiment with tool‑calling systems or create custom capabilities for AI workflows.

A skill typically consists of a JSON descriptor and a Python function. The JSON file defines the skill’s name, description, and input schema, while the Python file contains the actual execution logic. This separation ensures that skills remain easy to document, validate, and reuse across different projects. With library-skills, developers can quickly inspect a skill’s schema, run it with custom input, or verify that its output matches the expected structure.

The command‑line interface provided by the package allows users to list installed skills, execute them directly, and validate input files without writing additional code. This makes the development cycle faster and more predictable. Instead of manually wiring functions together, developers can rely on a consistent interface that handles loading, parsing, and execution.

One of the main advantages of library-skills is its role in AI agent development. Modern agents often rely on tool‑calling, where the AI selects and triggers external functions based on user intent. Skills created with this package can be easily integrated into such agents, providing clear schemas and predictable behavior. This helps ensure that AI systems remain reliable, debuggable, and easy to extend.

Overall, library-skills is a practical utility for anyone building structured AI tools. It encourages clean design, modularity, and transparency, making it a valuable addition to Python environments focused on AI experimentation and agent development.

Let's install this python package.

python -m pip install library-skills
Collecting library-skills
  Downloading library_skills-0.0.19-py3-none-any.whl.metadata (5.4 kB)
...
Successfully installed library-skills-0.0.19 rich-toolkit-0.20.1 tomli-2.4.1

Let's make the first run:

library-skills.exe

 context
Project root               c:\lucru\PythonProjects
Target Python environment  not found

 Warning:  No target Python environment with site-packages or node_modules was found. Run from a
project root after installing dependencies, for example with 'uv sync' for Python or 'npm install' for
Node.js.

No installed or discovered skills found.
Copy the Library Skills tool skill into the project so agents know how to update, repair, and check
managed skills?
■ Copy Library Skills tool skill into the project so agents know how to update, repair, and check
managed skills? Copy Library Skills tool skill

 Target     Status               Path
 universal  tool skill: missing  .agents\skills\library-skills
 Copied:  library-skills (universal) -> .agents\skills\library-skills

Now you can create skills for your artificial intelligence:

Create a folder with two files:

my_skill/
    skill.json
    skill.py

First file named skill.json:

{
    "name": "hello_skill",
    "description": "Returnează un mesaj simplu",
    "input_schema": {
        "type": "object",
        "properties": {
            "name": {"type": "string"}
        },
        "required": ["name"]
    }
}

The second file named skill.py

def run(input):
    name = input["name"]
    return {"message": f"Salut, {name}!"}

Run the skill into your folder:

library-skills run my_skill --input '{"name": "Catalin"}'

See the schema:

library-skills schema my_skill

Validate the input:

library-skills validate my_skill input.json

List the skills:

library-skills list

This is all you need for a default basic skill with the library-skills.