A high-autonomy agent architecture that implements a comprehensive Think-Action-Reflect-Test cycle for sophisticated task management.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install cognitive-loop
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install cognitive-loop using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Cognitive Loop?
Cognitive Loop is a core execution engine designed for agents to achieve higher levels of autonomy. By integrating a four-stage cognitive cycle—Thinking, Acting, Reflecting, and Testing—this skill enables agents to handle complex, multi-step engineering and research tasks without constant human intervention. It transforms standard agent interactions into a structured, self-improving process that mimics human problem-solving workflows.
The skill leverages advanced reasoning techniques like Chain-of-Thought and Tree-of-Thought to decompose abstract goals into actionable plans. This Openclaw Skills addition is essential for developers building agents that need to learn from past successes and failures while maintaining high reliability through automated testing and monitoring.
Cognitive Loop Use Cases
- Full-stack development including frontend pages, backend APIs, and database design.
- Complex multi-step task execution requiring dependency management and sub-task orchestration.
- Test-Driven Development (TDD) where automated validation and repair cycles are mandatory.
- Performance optimization and structural code refactoring.
- Handling ambiguous requirements by autonomous exploration and strategy selection.
How Cognitive Loop Works
- Planner Phase: Analyzes the user request to decompose tasks and select reasoning strategies like Chain-of-Thought.
- Monitor Phase: Executes actions while tracking progress in real-time and performing dynamic error recovery or retries.
- Reflector Phase: Reviews the execution results to extract lessons, patterns, and optimization suggestions for future tasks.
- Tester Phase: Generates test cases, verifies code coverage, and performs closed-loop repairs based on failure logs.
Cognitive Loop Setup
To integrate this capability into your library of Openclaw Skills, follow these installation steps:
# Recommended: Install via npm
npm install cognitive-agent
# Alternative: Install via OpenClaw CLI
openclaw skills install cognitive-loop
# Manual Source installation
git clone https://github.com/World-peace001/cognitive-agent.git
cd cognitive-agent
npm install
Cognitive Loop Data Schema & Taxonomy
The skill organizes its long-term memory and operational data within the memory/ directory to ensure persistence and learning across sessions.
| Directory | Purpose | Content Type |
|---|---|---|
memory/patterns/ |
Reusable execution patterns | Best practices and templates |
memory/lessons/ |
Failure post-mortems | Error logs and recovery insights |
memory/successes/ |
Historical achievements | Successful task completion data |
memory/knowledge/ |
Knowledge accumulation | Domain-specific technical facts |
Cognitive Loop Advanced Features
- Multi-level autonomy support ranging from L1 (Basic Execution) to L5 (Full Autonomous Evolution).
- Autonomous learning through pattern extraction from successful workflows saved in memory.
- Self-healing capabilities with automatic retry, degradation logic, and exception recovery.
- TDD-driven development mode for high-integrity software engineering.
- Deep integration with the Openclaw Skills ecosystem for cross-agent collaboration.
SKILL.md
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