A specialized AI agent skill designed to decompose complex goals into actionable steps and guide users through systematic execution.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install task-planner-2
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 task-planner-2 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 Planner AI Skill?
The Task Planner is a sophisticated professional assistant designed for Openclaw Skills users who need to transform vague objectives into structured, executable roadmaps. It goes beyond simple list-making by identifying the critical path, assessing risks, and minimizing cognitive load during the implementation phase. By understanding the underlying purpose of a project, it ensures that every step is not just a checkbox, but a meaningful move toward the final objective.
This skill is particularly valuable for scenarios involving complex dependencies or multi-stage workflows where a clear sequence is required. Whether you are managing a software project, designing a process, or setting milestones for a long-term goal, the Task Planner provides the technical framework to ensure nothing is missed. It integrates deeply with the Openclaw Skills environment to provide a seamless transition from abstract planning to hands-on execution.
Task Planner AI Skill Use Cases
- Orchestrating complex software engineering projects that require multi-step implementation and testing.
- Breaking down ambiguous business goals into concrete, actionable sprints with defined deliverables.
- Managing technical migrations or system setups that involve high risk and multiple dependencies.
- Guiding research and data analysis workflows that require sequential decision-making based on intermediate results.
How Task Planner AI Skill Works
- Goal Clarification: The agent analyzes the user's request and uses tools to clarify the final objective, current status, and any constraints like budget or technology stacks.
- Complexity Assessment: The skill determines if the task requires a full plan (3+ steps or dependencies) or a simple suggestion list to save time.
- Strategic Decomposition: Tasks are broken down into actionable and verifiable steps with a granularity of 15 to 60 minutes of work per step.
- Plan Confirmation: A detailed execution plan is presented for user approval, highlighting potential risks and critical decision points.
- Guided Execution: The agent utilizes specialized tools to create a task list, tracks progress by updating task states, and directly performs actions like writing code or generating documents.
- Dynamic Adjustment: If roadblocks occur or requirements change, the skill automatically re-evaluates the remaining steps and updates the plan accordingly.
- Wrap-up and Reporting: Upon completion, a summary of all deliverables and suggestions for next steps is provided.
Task Planner AI Skill Setup
To utilize this skill within the Openclaw Skills ecosystem, ensure your agent has access to the task-planner configuration. You can trigger the planner using natural language commands.
# To see if the skill is active in your current environment
openclaw-agent skills --list
# Trigger the planner by asking for help with complex tasks
# Example: "Help me plan the migration of our legacy API to a serverless architecture."
No additional manual configuration is required as the skill automatically leverages built-in tools like TaskCreate and TaskUpdate for state management.
Task Planner AI Skill Data Schema & Taxonomy
The Task Planner maintains a structured metadata taxonomy to ensure execution consistency within Openclaw Skills. Data is organized as follows:
| Attribute | Description |
|---|---|
| Task Identifier | A unique string identifying each specific step in the project. |
| Execution State | Tracks whether a task is pending, in_progress, completed, or blocked. |
| Dependency Map | Defines the sequence and prerequisites required before a step can start. |
| Deliverables | Specific artifacts produced, such as files, code blocks, or reports. |
| Effort Estimation | Categorizes the workload for each step as Small, Medium, or Large. |
| Risk Registry | Documents potential issues and mitigation strategies for critical steps. |
Task Planner AI Skill Advanced Features
- Parallel Execution Mapping: Identifies tasks that can be performed simultaneously to optimize the overall project timeline.
- Automated Tool Integration: Seamlessly switches between planning and execution by invoking Read, Edit, and Bash tools to complete technical steps.
- Persistence and Interruption Recovery: Progress is recorded using TaskCreate, allowing users to switch topics and return to the project without losing context.
- Custom Decision Nodes: Identifies steps where user input is critical, pausing execution to ensure the user retains control over high-level project direction.
- Recursive Decomposition: Allows for specific steps to be further broken down into sub-plans if they prove more complex than initially anticipated.
SKILL.md
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