Cognitive Flexibility Skill
Overview
This Skill implements four cognitive modes based on human cognitive science:
| Mode | Name | Driver | Scenario | Core Ability |
|---|---|---|---|---|
| OOA | Experience Mode | Memory-driven | Familiar scenarios | Pattern matching |
| OODA | Reasoning Mode | Knowledge-driven | Complex problems | Chain reasoning |
| OOCA | Creative Mode | Association-driven | Innovation needs | Analogy generation |
| OOHA | Discovery Mode | Hypothesis-driven | Exploration | Hypothesis generation |
Quick Start
Basic Usage
from scripts.cognitive_controller import CognitiveController
# Create controller
controller = CognitiveController(confidence_threshold=0.7)
# Execute task (auto mode selection)
task = "Analyze user feedback data"
result = await controller.process(task, tools=tools)
# View result
print(f"Mode: {result['mode']}")
print(f"Answer: {result['answer']}")
print(f"Confidence: {result['assessment']['overall_score']:.2f}")
Manual Mode Selection
# OODA reasoning mode
from scripts.chain_reasoner import OODAReasoner
reasoner = OODAReasoner()
result = await reasoner.process(task, tools=tools)
# OOA experience mode
from scripts.pattern_matcher import PatternMatcher
matcher = PatternMatcher()
result = await matcher.match(task, tools=tools)
# OOCA creative mode
from scripts.creative_explorer import CreativeExplorer
explorer = CreativeExplorer()
result = await explorer.explore(task)
# OOHA discovery mode
from scripts.hypothesis_generator import HypothesisGenerator
generator = HypothesisGenerator()
result = await generator.discover(task)
Features
- 4 Cognitive Modes: OOA/OODA/OOCA/OOHA
- Auto Mode Switching: Cognitive Controller selects best mode
- Metacognitive Monitoring: Self-assessment and confidence scoring
- Usage Tracking: Complete usage logs and statistics
- 100% Test Coverage: All tests passing
File Structure
cognitive-flexibility/
├── scripts/
│ ├── __init__.py
│ ├── chain_reasoner.py # OODA reasoning
│ ├── pattern_matcher.py # OOA pattern matching
│ ├── self_assessor.py # Metacognitive monitoring
│ ├── cognitive_controller.py # Mode switching
│ ├── creative_explorer.py # OOCA creative mode
│ ├── hypothesis_generator.py # OOHA discovery mode
│ └── usage_monitor.py # Usage tracking
├── references/
│ └── ooda-guide.md
├── tests/
│ └── test_cognitive_skills.py
├── SKILL.md
├── README.md
└── MONITORING-GUIDE.md
Testing
# Run tests
python tests/test_cognitive_skills.py
# Expected output: 6/6 tests passed (100%)
Monitoring
from scripts.usage_monitor import UsageMonitor
monitor = UsageMonitor()
# Get usage stats
stats = monitor.get_stats(days=7)
# Generate report
report = monitor.generate_report(days=7)
print(report)
Requirements
- Python >= 3.8
- OpenClaw >= 2026.3.28
- No external dependencies
License
MIT License
Support
- Documentation: See README.md and MONITORING-GUIDE.md
- Issues: GitHub Issues
- Community: Discord #skills-feedback
DaoShi · Cognitive Flexibility Skill v2.1.0