Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub · Data Analysis
People Strategy
Manage and query a persistent SQLite-based graph of people and their relationships for personal CRM, org charts, mentorship, and collaboration mapping.
skill openclawclawhub Free
Manage and query a persistent SQLite-based graph of people and their relationships for personal CRM, org charts, mentorship, and collaboration mapping.
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Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- people_skill.py, requirements.txt, database.py, README.md, SKILL.md
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
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New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
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Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.0.0
Provenance
- Publisher
- makkzone
- Source page
- View original listing
- Canonical URL
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Documentation
Overview
A people relationship management agent skill that provides persistent graph-based storage using SQLite database. This skill enables AI agents to create, manage, and query a network of people and their relationships, making it ideal for building personal CRMs, organizational charts, mentorship networks, and collaboration mapping.
Person Management
Create People: Add new people with comprehensive information (name, role, relation, organization, character, notes) Read People: Retrieve individual people or search/filter across the database Update People: Modify any person's information Delete People: Remove people from the database (cascades to relationships) Search: Full-text search across names, roles, and organizations Filter: Filter by organization or relation type
Relationship Management
Create Edges: Establish directed relationships between people Query Relationships: Get incoming, outgoing, or all relationships for a person Update Edges: Modify relationship types and descriptions Delete Edges: Remove specific relationships Bidirectional Support: Track both directions of relationships
Graph Operations
Full Graph Export: Export entire network as JSON (nodes + edges) Person Network: Get complete network view for an individual Relationship Types: Support for custom relationship types (reports_to, mentors, works_with, etc.)
Tables
people id: INTEGER PRIMARY KEY name: TEXT NOT NULL role: TEXT relation_to_me: TEXT organization: TEXT character: TEXT notes: TEXT created_at: TIMESTAMP updated_at: TIMESTAMP edges id: INTEGER PRIMARY KEY from_person_id: INTEGER (FK to people.id) to_person_id: INTEGER (FK to people.id) relationship_type: TEXT NOT NULL description: TEXT created_at: TIMESTAMP updated_at: TIMESTAMP UNIQUE constraint on (from_person_id, to_person_id, relationship_type)
Indexes
idx_people_name: Index on people.name idx_edges_from: Index on edges.from_person_id idx_edges_to: Index on edges.to_person_id
Command Line Interface
# Person operations python people_skill.py add-person "Jane Doe" --role "CTO" --org "StartupXYZ" --relation "Mentor" python people_skill.py get-person 1 python people_skill.py search "engineer" python people_skill.py list-people --org "StartupXYZ" python people_skill.py update-person 1 --notes "Coffee meeting scheduled" python people_skill.py delete-person 1 # Relationship operations python people_skill.py add-relationship 1 2 "mentors" --description "Tech career guidance" python people_skill.py get-relationships 1 python people_skill.py list-relationships python people_skill.py update-relationship 1 --type "coaches" python people_skill.py delete-relationship 1 # Graph operations python people_skill.py get-graph python people_skill.py get-network 1
Python API
from database import PeopleDatabase from people_skill import PeopleAgent # Initialize agent = PeopleAgent("people.db") # Add people result = agent.add_person( name="Alice Johnson", role="VP Engineering", relation_to_me="Former colleague", organization="TechCorp", character="Strategic thinker, empathetic leader", notes="Worked together 2020-2022" ) person_id = result["person_id"] # Add relationship agent.add_relationship( from_person_id=1, to_person_id=2, relationship_type="manages", description="Direct manager relationship" ) # Query network network = agent.get_person_network(person_id) print(f"Found {network['connections_count']} connections") # Export graph graph = agent.get_graph() print(f"Graph: {graph['nodes_count']} nodes, {graph['edges_count']} edges")
Common Relationship Types
reports_to: Hierarchical reporting (subordinate → manager) manages: Hierarchical management (manager → subordinate) works_with: Peer collaboration mentors: Mentorship (mentor → mentee) mentored_by: Inverse mentorship (mentee → mentor) friends_with: Personal friendship knows: Acquaintance collaborates_with: Project collaboration introduced_by: Connection source
1. Personal CRM
Track professional contacts, their roles, organizations, and how you know them. Add notes about conversations, meetings, or follow-ups. python people_skill.py add-person "Sarah Chen" \ --role "Product Director" \ --org "InnovateCo" \ --relation "Met at conference" \ --notes "Interested in API collaboration, follow up Q2"
2. Organizational Mapping
Build and maintain organizational charts with reporting relationships. # Add team members python people_skill.py add-person "Mike Lead" --role "Team Lead" --org "Engineering" python people_skill.py add-person "Dev One" --role "Engineer" --org "Engineering" python people_skill.py add-person "Dev Two" --role "Engineer" --org "Engineering" # Create reporting structure python people_skill.py add-relationship 2 1 "reports_to" python people_skill.py add-relationship 3 1 "reports_to"
3. Mentorship Network
Track mentorship relationships and career guidance connections. python people_skill.py add-relationship 5 3 "mentors" \ --description "Career guidance in ML/AI"
4. Collaboration Tracking
Map who works with whom on projects. python people_skill.py add-relationship 1 2 "works_with" \ --description "Project Phoenix collaboration"
5. Network Analysis
Analyze your professional network to identify key connections. # View someone's complete network python people_skill.py get-network 1 # Export for visualization python people_skill.py get-graph > network.json
Bidirectional Relationship Queries
The system automatically handles both directions: # Get all relationships for a person edges = db.get_all_edges_for_person(person_id) # Returns: {"outgoing": [...], "incoming": [...]}
Cascade Deletion
Deleting a person automatically removes all associated relationships.
Duplicate Prevention
The UNIQUE constraint prevents duplicate relationships between the same two people with the same type.
Search Flexibility
Search works across multiple fields: python people_skill.py search "engineer" # Matches: names, roles, organizations
Export to Visualization Tools
# Export graph for tools like D3.js, Cytoscape, Gephi python people_skill.py get-graph > graph.json
Import from CSV
import csv from people_skill import PeopleAgent agent = PeopleAgent() with open('contacts.csv', 'r') as f: reader = csv.DictReader(f) for row in reader: agent.add_person( name=row['name'], role=row['role'], organization=row['org'], relation_to_me=row['relation'] )
Best Practices
Consistent Naming: Use consistent naming conventions for relationship types Rich Notes: Add contextual notes to remember important details Regular Updates: Keep information current with update commands Character Tracking: Use the character field to remember personality traits Relationship Descriptions: Add context to relationships for clarity Search First: Before adding, search to avoid duplicates
API Reference
See people_skill.py for complete API documentation.
Key Classes
PeopleDatabase: Low-level database operations PeopleAgent: High-level agent interface with result dictionaries
Return Format
All agent methods return dictionaries with: success: Boolean indicating success/failure message: Human-readable status message (on errors) Data fields specific to the operation
Error Handling
The skill includes comprehensive error handling: Foreign key constraints prevent invalid relationships Unique constraints prevent duplicate relationships Cascade deletion maintains referential integrity Try-catch blocks in CLI provide user-friendly errors
Performance
Indexed queries for fast lookups Efficient graph traversal Suitable for networks of thousands of people SQLite handles concurrent reads
Future Enhancements
Potential extensions: Graph visualization generation Shortest path finding between people Influence/centrality scoring Duplicate person detection Export to various formats (GraphML, DOT) Import from LinkedIn, contact lists Time-based relationship tracking Strength/confidence scoring for relationships
License
MIT
Category context
Data access, storage, extraction, analysis, reporting, and insight generation.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
2 Docs2 Scripts1 Files
- SKILL.md
- README.md
- database.py
- people_skill.py
- requirements.txt