Initial commit: workspace setup with skills, memory, config

knowledge_base_schema.md

@@ -0,0 +1,36 @@
+Collection: knowledge_base
+
+Metadata Schema:
+{
+  "subject": "Machine Learning",         // Primary topic/theme
+  "subjects": ["AI", "NLP"],            // Related subjects for cross-linking
+  "category": "reference",               // reference | code | notes | documentation
+  "path": "AI/ML/Transformers",          // Hierarchical location (like filesystem)
+  "level": 2,                            // Depth: 0=root, 1=section, 2=chunk
+  "parent_id": "abc-123",                // Parent document ID (for chunks/children)
+  
+  "content_type": "web_page",            // web_page | pdf | code | markdown | note
+  "language": "python",                  // For code/docs (optional)
+  "project": "llm-research",             // Optional project tag
+  
+  "checksum": "sha256:abc...",           // For duplicate detection
+  "source_url": "https://...",           // Optional reference (not primary org)
+  
+  "title": "Understanding Transformers", // Display name
+  "concepts": ["attention", "bert"],     // Auto-extracted key concepts
+  "date_added": "2026-02-05",
+  "date_updated": "2026-02-05"
+}
+
+Key Design Decisions:
+- Subject-first: Organize by topic, not by where it came from
+- Path-based hierarchy: Navigate "AI/ML/Transformers" or "Projects/HomeLab/Docker"
+- Separate from memories: knowledge_base and openclaw_memories don't mix
+- Duplicate handling: Checksum comparison → overwrite if changed, skip if same
+- No retention limits
+
+Use Cases:
+- Web scrape → path: "Research/Web/<topic>", subject: extracted topic
+- Project docs → path: "Projects/<project-name>/<doc>", project tag
+- Code reference → path: "Code/<language>/<topic>", language field
+- Personal notes → path: "Notes/<category>/<note>"