ac-knowledge-graph
Manage knowledge graph for autonomous coding. Use when storing relationships, querying connected knowledge, building project understanding, or maintaining semantic memory.
Best use case
ac-knowledge-graph is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Manage knowledge graph for autonomous coding. Use when storing relationships, querying connected knowledge, building project understanding, or maintaining semantic memory.
Teams using ac-knowledge-graph should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/ac-knowledge-graph/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How ac-knowledge-graph Compares
| Feature / Agent | ac-knowledge-graph | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Manage knowledge graph for autonomous coding. Use when storing relationships, querying connected knowledge, building project understanding, or maintaining semantic memory.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# AC Knowledge Graph
Build and query knowledge graphs for project understanding.
## Purpose
Maintains a knowledge graph of project concepts, relationships, and learnings for intelligent decision-making.
## Quick Start
```python
from scripts.knowledge_graph import KnowledgeGraph
graph = KnowledgeGraph(project_dir)
await graph.add_entity("User", {"type": "model"})
await graph.add_relation("User", "has", "Profile")
related = await graph.query("User")
```
## API Reference
See `scripts/knowledge_graph.py` for full implementation.Related Skills
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