ww-architecture
Architecture documentation generation and maintenance for World Weaver
Skill by astoreyai
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
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About
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Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
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- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/ww-architecture
What's inside
- Skill name
ww-architecture- Description
- Architecture documentation generation and maintenance for World Weaver
- License
- MIT
- Instructions
- 279 lines in SKILL.md · view on GitHub
Agent Skills spec issues
- allowed-tools: must be a space-separated string
- body: contains an absolute path from the author's machine
Files (1)
- SKILL.md
SKILL.md (first lines)
# WW Architecture Skill
Architecture documentation generation and maintenance for World Weaver.
## Purpose
This skill provides architecture documentation capabilities:
1. **Generate Docs**: Auto-generate architecture documentation from code
2. **Update Docs**: Keep documentation in sync with code changes
3. **Visualize**: Create diagrams from code structure
4. **Validate**: Check documentation accuracy against implementation
## When to Use
Invoke this skill when:
- User asks "document the architecture"
- User asks "generate a diagram"
- User asks "what's the system structure"
- Code changes require doc updates
- Architecture review is needed
## Documentation Generation Workflows
### 1. Module Documentation
Parse Python modules and generate docs:
```bash
# Find all modules
find /home/aaron/ww/src/ww -name "*.py" -not -name "__init__.py"
# Extract docstrings
python -c "
import ast
import sys
with open(sys.argv[1]) as f:
tree = ast.parse(f.read())
module_doc = ast.get_docstring(tree)
print(f'# Module: {sys.argv[1]}')
print(module_doc or 'No module docstring')
for node in ast.walk(tree):
if isinstance(node, ast.ClassDef):
print(f'## Class: {node.name}')
print(ast.get_docstring(node) or 'No class docstring')
elif isinstance(node, ast.FunctionDef):
print(f'### Function: {node.name}')
print(ast.get_docstring(node) or 'No function docstring')
" "$file"
```
### 2. Dependency Graph
Generate module dependency graph:
```python
import ast
from pathlib import Path
def extract_imports(file_path):
with open(file_path) as f:
tree = ast.parse(f.read())
imports = []
for node in ast.walk(tree):
if isinstance(node, ast.Import):
for alias in node.names:
imports.append(alias.name)
elif isinstance(node, ast.ImportFrom):
if node.module:
imports.append(node.module)
return imports
# Build dependency graph
dependencies = {}
for py_file in Path('/home/aaron/ww/src/ww').rglob('*.py'):
module = str(py_file.relative_to('/home/aaron/ww/src'))
dependencies[module] = extract_imports(py_file)
```
### 3. Mermaid Diagram Generation
Generate architecture diagrams:
```markdown
## System Architecture
\`\`\`mermaid
graph TB
subgraph Plugin["WW Plugin"]
Skills[Skills]
Commands[Commands]
Hooks[Hooks]
Agents[Agents]
end
subgraph MCP["MCP Server"]
Gateway[Gateway]
Episodic[Episodic Store]
Semantic[Semantic Store]
Procedural[Procedural Store]
end
subgraph Storage["Storage Layer"]
Neo4j[(Neo4j)]
Qdrant[(Qdrant)]
end
Plugin --> Gateway
Gateway --> Episodic
Gateway --> Semantic
Gateway --> Procedural
Episodic --> Qdrant
Semantic --> Neo4j
Semantic --> Qdrant
Procedural --> Neo4j
\`\`\`From astoreyai/claude-skills, MIT.
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Signals
- Stars
- 5
- Forks
- 1
- Open issues
- 0
- Last commit (this folder)
- Jan 1, 2026 (10 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/astoreyai/claude-skills
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
ww-architecture skill. Agent Mart. https://agentmart.dev/skills/astoreyai-ww-architecture (last updated 2026-10-24)