An autonomous AI agent skill that generates structured, linear feature specifications for systems without continuous user intervention.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install autonomous-feature-planner
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 autonomous-feature-planner 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 Autonomous Feature Planner?
The Autonomous Feature Planner is a specialized tool within the Openclaw Skills ecosystem designed for deep, self-directed system architecting. By taking a single preceding user command as a foundation, this skill independently derives a system domain and systematically breaks it down into distinct, implementable features. It is built for developers who need a comprehensive, sequential implementation plan without the friction of constant back-and-forth prompting.
This skill ensures that every planned feature is functionally unique and adheres to a locked-in project scope, making it an essential asset for those utilizing Openclaw Skills for high-level project conceptualization. It operates as a bounded-output autonomous planner, meaning it sequences tasks without inventing scope outside of the established domain.
Autonomous Feature Planner Use Cases
- Transitioning from a rough project idea to a detailed implementation roadmap.
- Generating a sequential list of technical requirements for a new software product.
- Expanding a basic system architecture into distinct, manageable functional modules.
- Creating standardized feature specifications during the initial discovery phase of development using Openclaw Skills.
How Autonomous Feature Planner Works
- Capture the foundation command from the conversation history to lock the system domain and establish baseline intent.
- Declare all minimal necessary assumptions required to derive the project scope and lock them for the session.
- Enter a bounded-output planning loop, selecting exactly one next feature that fits the locked domain.
- Define the feature scope including explicit inclusions and exclusions to prevent scope creep.
- Produce a linear, ordered implementation plan with specific inputs, outputs, and dependencies.
- State a verifiable success condition for the feature and terminate the current iteration.
- Repeat the process until a stop command is issued or the planning is complete.
Autonomous Feature Planner Setup
To activate this capability within your environment, ensure you have the Openclaw Skills framework configured. You can trigger the planner by providing a system description followed by a trigger keyword.
# Trigger the skill after a system description
use autonomous-feature-planner
# Alternative triggers
start autonomous planning
autonomous expansion
To terminate the planning process at any time, use the following command:
stop planning
Autonomous Feature Planner Data Schema & Taxonomy
The skill maintains a strict, append-only data structure to ensure consistency across the planning lifecycle. Data is organized into sequential iterations following this taxonomy:
| Attribute | Description |
|---|---|
| Foundation | The verbatim original command defining the system domain. |
| System Domain | The derived and locked scope of the project established at initialization. |
| Iteration ID | Sequential numerical label (e.g., Feature 1, Feature 2). |
| Scope | Explicit inclusions and exclusions for the specific feature. |
| Implementation | A linear, non-branching set of steps for the feature. |
| Success Condition | A single, verifiable state that confirms the feature is complete. |
Autonomous Feature Planner Advanced Features
- Immutable Domain Locking: Prevents scope creep by fixing project boundaries during the initialization phase.
- Bounded Autonomy: The skill sequences features independently while strictly adhering to the original system intent provided to Openclaw Skills.
- Linear Dependency Mapping: Each feature identifies required inputs and prior dependencies to ensure a logical implementation order.
- Runaway Prevention: Built-in constraints forbid the generation of sub-features or meta-features to keep the output utilitarian and focused.
- Failure Protection: Immediately halts if internal consistency is threatened or if planning requires unverifiable facts.
SKILL.md
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