A strategic commander skill that decomposes complex missions into modular sub-tasks with a focus on context completeness and parallel processing.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install teamo-strategy
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 teamo-strategy 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 Teamo Strategy?
Teamo Strategy is a specialized cognitive framework designed for the orchestration of complex, multi-dimensional tasks within the Openclaw Skills ecosystem. Unlike standard task executors, it functions as a strategic commander that prioritizes Context Completeness over immediate output. It employs a rigorous Chain of Thought (CoT) process to identify information gaps, ensuring that every project—from marketing strategies to technical documentation—is built on a foundation of user-provided truth.
By leveraging the MECE (Mutually Exclusive, Collectively Exhaustive) principle, this skill breaks down massive projects into manageable, informationally independent modules. It acts as the brain of an agentic workflow, managing dependency graphs and distributing sub-tasks to subordinate agents. This approach allows Openclaw Skills users to generate high-fidelity results that can scale from 5,000 to over 90,000 words depending on the desired granularity.
Teamo Strategy Use Cases
- High-stakes business planning requiring deep context like budget constraints, brand tonality, and competitor analysis.
- Large-scale content generation projects where tasks must be segmented into specific chapters for parallel production.
- Complex technical research that requires gathering specific API documentation or financial reports before beginning analysis.
- Managing multi-agent workflows where dependencies must be mapped out to ensure serial or concurrent task execution.
How Teamo Strategy Works
- Performs a Context Gap Analysis to determine if the user has provided enough background, resources, and constraints to achieve a perfect result.
- Uses an interactive material request system to ask for specific files (PDF, CSV, Word) or context before proceeding with decomposition.
- Applies the MECE principle to slice the validated task into 1-4 independent cognitive modules.
- Constructs a Dependency Graph to determine which tasks can run in parallel and which require serial execution based on predecessor results.
- Distributes tasks to subordinate units with lossless attachment transmission to maintain context across all agents.
- Integrates all generated chapters into a final panoramic plan, including an automatically generated Executive Summary.
Teamo Strategy Setup
To integrate this skill into your Openclaw Skills environment, ensure your agent configuration is updated to include the Teamo Strategy cognitive layer.
# Example command to initialize the strategy agent
openclaw skills add teamo-strategy
# Configure environment variables for session tracking
export SESSION_GROUP_ID="your_unique_session_id"
Ensure that the subordinate agent deep_strategy is also available in your workspace to handle the delegated sub-tasks.
Teamo Strategy Data Schema & Taxonomy
The skill organizes data through a structured pipeline to ensure no information loss during delegation:
| Component | Type | Description |
|---|---|---|
| task_description | String | Localized instructions for sub-tasks, typically in Chinese for precise execution. |
| attached_files | Array | Original user documents (PDFs, Manuals) passed to every sub-agent. |
| Executive Summary | Wiki | A high-level overview document generated at the final stage. |
| Chapter Docs | Markdown | Individual files representing the segmented sub-tasks in the article flow. |
Teamo Strategy Advanced Features
- Strategic Context Gatekeeping: Automatically halts the workflow if user input is insufficient for high-quality results.
- Dynamic Granularity Control: Adjusts the depth of output based on user expectations, supporting massive word counts up to 90k+ words.
- Concurrent Execution Engine: Identifies and runs non-dependent tasks simultaneously to drastically reduce total processing time.
- Lossless Context Transmission: Ensures that all attachments and proper nouns from the user remain untouched and accessible to all sub-agents.
SKILL.md
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