A structured methodology for AI agents to plan, execute, and review complex operations while automatically persisting lessons learned into long-term memory.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install complex-task-executor
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 complex-task-executor 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 Complex Task Executor?
The Complex Task Executor is a robust framework designed for AI agents to handle high-stakes, multi-step operations through a three-phase methodology: Planning, Execution, and Review. By integrating these Openclaw Skills, agents move beyond simple prompt-response cycles and adopt a strategic approach that prioritizes risk assessment, user-centric outcomes, and technical rigor.
At its core, this skill ensures that every complex task results in permanent institutional knowledge. It forces the agent to document technical hurdles, architectural decisions, and standard operating procedures using automated memory management tools. This prevents the repetition of past mistakes and creates a self-improving loop for the AI assistant.
Complex Task Executor Use Cases
- Refactoring legacy code modules with high architectural risk.
- Planning and executing multi-service cloud deployments.
- Conducting deep research and synthesizing multi-document technical audits.
- Developing complex software features that require cross-module dependency management.
- Systematic troubleshooting of production bugs that involve root cause analysis.
How Complex Task Executor Works
- Planning Phase: The agent performs a global assessment, defines technical goals, conducts code investigations, and establishes a 'bottom-line' safety net for rollbacks.
- Execution Phase: The plan is converted into actionable steps, focusing on modular progress and immediate verification through testing and log analysis.
- Review & Memory Phase: Upon completion, the agent performs a post-mortem to identify successes and failures.
- Memory Injection: The agent invokes the manage_core_memory tool to save high-value experiences and architectural knowledge into its long-term storage.
Complex Task Executor Setup
To enable the Complex Task Executor within your agent environment, ensure the skill definition is included in your skills directory and that the memory management tool is configured.
# Install the core memory management dependency
npm install @openclaw/memory-manager
# Register the complex-task-executor skill
openclaw skills add complex-task-executor
Complex Task Executor Data Schema & Taxonomy
The skill organizes data into two primary memory taxonomies to ensure future retrieval is efficient and relevant:
| Category | Description | Example Content |
|---|---|---|
| Experience | Lessons learned from execution hurdles and error resolution. | "When modifying Module X, always run Script Z first to prevent sync errors." |
| Knowledge | Architectural truths and project-specific conventions. | "This project uses Zustand for state; do not introduce Redux." |
Complex Task Executor Advanced Features
- Automated Post-Mortems: Generates a summary report for the user highlighting technical debt or hidden dependencies discovered during the task.
- Dialectical Strategy Adjustment: Dynamically pivots the execution path if a specific technical approach hits a dead end or returns consistent errors.
- Risk-Mitigation Hook: Automatically triggers a backup or system snapshot if the 'bottom-line' planning phase identifies high data loss risks.
- Long-term Memory Persistence: Uses Openclaw Skills protocols to ensure that knowledge gained in one session is available in all future interactions.
SKILL.md
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