A strategic orchestration skill that decomposes complex requests into atomic subtasks and identifies the necessary Openclaw Skills for execution.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install openclaw-super-skills
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 openclaw-super-skills 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 Task Decomposer & Skill Generator?
The Task Decomposer & Skill Generator serves as the brain for complex agentic workflows, transforming high-level user intent into a structured roadmap of executable actions. It analyzes the specific domains and requirements of a request to determine exactly which capabilities are needed. By leveraging the ecosystem of Openclaw Skills, it bridges the gap between abstract goals and technical implementation, ensuring that agents have access to the right tools for every step of a project.
This skill is essential for developers looking to build robust, multi-step AI automations. It doesn't just plan; it actively manages the lifecycle of a task by searching for existing solutions or generating the boilerplate for new Openclaw Skills when a functional gap is identified. This systematic approach ensures that even the most intricate workflows remain manageable, verifiable, and scalable.
Task Decomposer & Skill Generator Use Cases
- Orchestrating multi-step automation workflows that require cross-platform integrations using Openclaw Skills.
- Breaking down large-scale research projects into manageable data retrieval and extraction phases.
- Identifying missing functionalities in an agent's toolkit and automatically generating new Openclaw Skills to address them.
- Creating structured execution plans for complex data pipelines involving web scraping, processing, and delivery.
How Task Decomposer & Skill Generator Works
- Analyze the user request to identify core objectives, involved domains, and required trigger mechanisms.
- Decompose the high-level objective into atomic, independent subtasks with clearly defined inputs and outputs.
- Map each subtask to the universal capability taxonomy to determine the necessary functional types.
- Search the global registry to find existing Openclaw Skills that can fulfill the identified requirements.
- Conduct a gap analysis to decide if a subtask can be handled natively, requires an installation, or necessitates a new skill creation.
- Generate a comprehensive execution plan that includes installation commands, sequence of actions, and verification steps.
Task Decomposer & Skill Generator Setup
To utilize this skill effectively, you must have the skills CLI installed to interact with the repository of Openclaw Skills. Use the following commands to manage your environment:
# Search for specific capabilities in the ecosystem
npx skills find <keyword>
# Install a required skill from the registry
npx skills add <owner/repo@skill> -g -y
# Initialize a new skill structure for custom needs
npx skills init <skill-name>
Task Decomposer & Skill Generator Data Schema & Taxonomy
The Task Decomposer organizes information using a structured reporting format. It categorizes subtasks and their associated Openclaw Skills using the following schema:
| Field | Description |
|---|---|
| Task ID | A unique numerical identifier for the subtask sequence. |
| Capability | The functional category (e.g., browser_automation, api_integration). |
| Status | The availability status: Found (on skills.sh), Built-in (native), or Create (new). |
| Search Keywords | Targeted terms used to discover relevant Openclaw Skills. |
| Execution Plan | A YAML structure defining prerequisites, steps, and verification logic. |
Task Decomposer & Skill Generator Advanced Features
- Universal capability taxonomy mapping to ensure precise discovery of Openclaw Skills.
- Automated gap analysis that distinguishes between LLM-native tasks and external tool requirements.
- High-fidelity execution plan generation including step-by-step verification methods.
- Integrated skill creation workflow that generates standard-compliant SKILL.md templates and directory structures.
- Seamless integration with the find-skills protocol for real-time registry searching.
SKILL.md
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