/semantic-tree-init
Create a new semantic tree for persistent memory storage and reasoning tracking in the WFGY system.
$ npx -y skills add qdhenry/Claude-Command-Suite --agent claude-codeHow it fires
How this command gets triggered: by you, by Claude, or both.
- Fires itselfClaude auto-loads it when your prompt matches the work.
- You can call itInvoke it directly when you want it.
- Slash command
/semantic-tree-init
Context preview
What this command does when you run it.
Create a new semantic tree for persistent memory storage and reasoning tracking in the WFGY system.
Command definition
semantic-tree-init.mdtools:
- read
- write
- bash
- glob
arguments: $TREE_NAME
Semantic Tree Initialization
Create a new semantic tree for persistent memory storage and reasoning tracking in the WFGY system.
Based on the WFGY project: https://github.com/onestardao/WFGY
Instructions
1. **Parse Tree Configuration**
- Extract tree name from "$TREE_NAME" (default: "A Tree" if empty)
- Validate name (alphanumeric, spaces, underscores allowed)
- Check for existing tree with same name
- Generate unique tree ID (UUID)
2. **Create Tree Structure**
{
"id": "tree_uuid",
"name": "$TREE_NAME",
"created": "ISO_8601_timestamp",
"modified": "ISO_8601_timestamp",
"metadata": {
"version": "1.0.0",
"node_count": 0,
"total_deltaS": 0,
"avg_deltaS": 0,
"max_depth": 0,
"modules_used": []
},
"config": {
"auto_record": true,
"deltaS_threshold": 0.6,
"compression_threshold": 100,
"max_nodes": 10000
},
"nodes": [],
"checkpoints": []
}3. **Initialize Tree Storage**
- Create tree file: `.wfgy/trees/$TREE_NAME.json`
- Set up node index in `.wfgy/trees/indices/$TREE_NAME_index.json`
- Create checkpoint directory: `.wfgy/trees/checkpoints/$TREE_NAME/`
- Initialize tree statistics file
4. **Configure Tree Settings**
- Set automatic recording threshold (ΔS > 0.6)
- Enable divergent override for λ ∈ {←, <>}
- Configure compression settings
- Set up cross-reference mappings
5. **Activate Tree**
- Update `.wfgy/trees/active_tree.json` to point to new tree
- Initialize first node (root/boot node):
- Topic: "Tree Initialization"
- Module: "SYSTEM"
- ΔS: 0.00
- λ_observe: →
- Update `.wfgy/context.json` with tree reference
- Log creation in `.wfgy/logs/trees.log`
Output Format
Semantic Tree Created Successfully
═══════════════════════════════════════
Tree Name: $TREE_NAME
Tree ID: [uuid]
Created: [timestamp]
Configuration:
- Auto-record: Enabled
- ΔS Threshold: 0.6
- Max Nodes: 10,000
- Compression: At 100 nodes
Status: Active ✓
Next Steps:
1. Start building nodes with /semantic:node-build
2. View tree structure with /semantic:tree-view
3. Configure settings in .wfgy/trees/$TREE_NAME.json
Tree Types
Common tree patterns:
- **Project Trees**: For specific development projects
- **Research Trees**: For exploration and learning
- **Debug Trees**: For troubleshooting sessions
- **Creative Trees**: For ideation and brainstorming
- **Decision Trees**: For evaluating options
Management Commands
After creation:
# Switch to different tree
/semantic:tree-switch "Another Tree"
# View current tree
/semantic:tree-view
# Export tree
/semantic:tree-export
# Build nodes
/semantic:node-build "First concept"
Advanced Configuration
Custom tree settings in `.wfgy/trees/$TREE_NAME.json`:
{
"config": {
"auto_record": true,
"deltaS_threshold": 0.5,
"lambda_triggers": ["divergent", "recursive"],
"compression_threshold": 50,
"prune_after_days": 30,
"backup_frequency": "daily"
}
}Read more
tools: - read - write - bash - glob arguments: $TREE_NAME
Semantic Tree Initialization
Create a new semantic tree for persistent memory storage and reasoning tracking in the WFGY system.
Based on the WFGY project: https://github.com/onestardao/WFGY
Instructions
1. **Parse Tree Configuration**
- Extract tree name from "$TREE_NAME" (default: "A Tree" if empty)
- Validate name (alphanumeric, spaces, underscores allowed)
- Check for existing tree with same name
- Generate unique tree ID (UUID)
2. **Create Tree Structure**
{
"id": "tree_uuid",
"name": "$TREE_NAME",
"created": "ISO_8601_timestamp",
"modified": "ISO_8601_timestamp",
"metadata": {
"version": "1.0.0",
"node_count": 0,
"total_deltaS": 0,
"avg_deltaS": 0,
"max_depth": 0,
"modules_used": []
},
"config": {
"auto_record": true,
"deltaS_threshold": 0.6,
"compression_threshold": 100,
"max_nodes": 10000
},
"nodes": [],
"checkpoints": []
}3. **Initialize Tree Storage**
- Create tree file: `.wfgy/trees/$TREE_NAME.json`
- Set up node index in `.wfgy/trees/indices/$TREE_NAME_index.json`
- Create checkpoint directory: `.wfgy/trees/checkpoints/$TREE_NAME/`
- Initialize tree statistics file
4. **Configure Tree Settings**
- Set automatic recording threshold (ΔS > 0.6)
- Enable divergent override for λ ∈ {←, <>}
- Configure compression settings
- Set up cross-reference mappings
5. **Activate Tree**
- Update `.wfgy/trees/active_tree.json` to point to new tree
- Initialize first node (root/boot node):
- Topic: "Tree Initialization"
- Module: "SYSTEM"
- ΔS: 0.00
- λ_observe: →
- Update `.wfgy/context.json` with tree reference
- Log creation in `.wfgy/logs/trees.log`
Output Format
Semantic Tree Created Successfully ═══════════════════════════════════════ Tree Name: $TREE_NAME Tree ID: [uuid] Created: [timestamp] Configuration: - Auto-record: Enabled - ΔS Threshold: 0.6 - Max Nodes: 10,000 - Compression: At 100 nodes Status: Active ✓ Next Steps: 1. Start building nodes with /semantic:node-build 2. View tree structure with /semantic:tree-view 3. Configure settings in .wfgy/trees/$TREE_NAME.json
Tree Types
Common tree patterns:
- **Project Trees**: For specific development projects
- **Research Trees**: For exploration and learning
- **Debug Trees**: For troubleshooting sessions
- **Creative Trees**: For ideation and brainstorming
- **Decision Trees**: For evaluating options
Management Commands
After creation:
# Switch to different tree /semantic:tree-switch "Another Tree" # View current tree /semantic:tree-view # Export tree /semantic:tree-export # Build nodes /semantic:node-build "First concept"
Advanced Configuration
Custom tree settings in `.wfgy/trees/$TREE_NAME.json`:
{
"config": {
"auto_record": true,
"deltaS_threshold": 0.5,
"lambda_triggers": ["divergent", "recursive"],
"compression_threshold": 50,
"prune_after_days": 30,
"backup_frequency": "daily"
}
}A comprehensive development toolkit designed following Anthropic's Claude Code Best Practices for AI-assisted software development.
Repo: qdhenry/Claude-Command-Suite
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