A structured, 9-step guided thinking process to transform raw user requests into explicit, testable, and responsibility-bearing intents.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install mova-intent-calibration
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 mova-intent-calibration 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 MOVA Intent Calibration?
This skill facilitates MOVA Intent Calibration, a rigorous framework for defining complex tasks before execution. Instead of rushing to a solution, it forces a guided thinking process that expands the solution space, compares real alternatives, and exposes trade-offs. It is an essential component of Openclaw Skills designed to minimize ambiguity in AI-human collaboration.
The core value proposition is the crystallization of intent. By requiring users to consciously own every decision and acknowledge the costs of their choices, the skill ensures that the resulting tasks are actionable and logically sound. It serves as a pre-execution layer that builds a solid foundation for MOVA contracts and complex workflows.
MOVA Intent Calibration Use Cases
- When a user provides an underdefined request like "help me think through this plan."
- Before starting complex MOVA workflows or creating multi-stage execution contracts.
- When task scope is unclear or contains high degrees of uncertainty and risk.
- Situations requiring a clear separation of facts, assumptions, constraints, and decision rights.
How MOVA Intent Calibration Works
- Problem Framing: Determine the underlying nature of the request (e.g., diagnosis, planning, or execution).
- Outcome Definition: Convert general desires into observable results and specific artifacts.
- Reality Assessment: Map out known facts, estimates, and environmental constraints.
- Strategy Selection: Present materially different approaches and force the user to choose one based on trade-offs.
- Verification & Constraints: Define how success is measured and set non-negotiable boundaries.
- Decision Mapping: Explicitly define what the system can do autonomously versus what requires human approval.
- Commitment: Generate a final Crystallized Intent document that summarizes the agreed-upon logic and responsibility.
MOVA Intent Calibration Setup
To use this skill, ensure you have the MOVA ecosystem plugin installed within your environment. It is triggered by specific phrases related to planning and definition.
# Install the necessary MOVA plugin
openclaw install openclaw-mova
# Trigger the calibration process
"Let's define the task for [Project Name]"
MOVA Intent Calibration Data Schema & Taxonomy
The skill produces a structured Markdown document known as a Crystallized Intent. The data is organized as follows:
| Field | Description |
|---|---|
| Intent | A single explicit statement of the primary objective. |
| Problem Framing | The classified category of the problem being solved. |
| Strategy | The chosen solution logic and the reasoning behind it. |
| Decision Rights | A list of human-controlled vs. system-controlled actions. |
| Verification | The specific test or criteria used to confirm task completion. |
| Commitment | A recorded statement of user responsibility and accepted risks. |
MOVA Intent Calibration Advanced Features
- Expansion of solution spaces to prevent premature optimization or narrow thinking.
- Forced user fixation requiring verbal confirmation of trade-offs to ensure accountability.
- Uncertainty tracking to identify critical risks that could break execution.
- Compatibility with MOVA contract creation for automated multi-agent execution.
- Integrated blocking mechanism that prevents execution if the intent remains underdefined.
SKILL.md
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