skills-graph 0.1.0

Persist, retrieve and evolve AI skills in Memgraph

skills-graph

A small library to persist, retrieve and evolve AI skills in Memgraph.

Graph Model

(:Skill {name, description, content, created_at, updated_at})
(:Tag {name})
(:Skill)-[:HAS_TAG]->(:Tag)
(:Skill)-[:DEPENDS_ON]->(:Skill)

Quick Start

from skill_graph import SkillGraph, Skill

# Connect (uses MEMGRAPH_URL, MEMGRAPH_USER, MEMGRAPH_PASSWORD env vars by default)
sg = SkillGraph()

# Prepare the database schema (constraints + indexes)
sg.setup()

# Store a skill
sg.add_skill(Skill(
    name="memgraph-cypher",
    description="Writing Cypher queries for Memgraph",
    content="# Cypher for Memgraph\n\nUse MATCH, CREATE, MERGE ...",
    tags=["cypher", "memgraph"],
))

# Retrieve by name
skill = sg.get_skill("memgraph-cypher")

# Search
sg.search_by_tags(["cypher"])
sg.search_by_name("memgraph")

# Dependencies
sg.add_dependency("advanced-cypher", "memgraph-cypher")
deps = sg.get_dependencies("advanced-cypher")

# List all
all_skills = sg.list_skills()

# Update
sg.update_skill("memgraph-cypher", content="updated content", tags=["cypher"])

# Delete
sg.delete_skill("memgraph-cypher")

Installation

uv sync

Testing

uv run pytest tests/ -v