Jupiter is a high-precision decision routing engine designed to compute the optimal path when multiple competing choices create analysis paralysis.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install jupiter
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 jupiter 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 Jupiter?
Jupiter serves as a gravity center for best-path decision making within the Openclaw Skills ecosystem. It is specifically engineered for scenarios where a user is overwhelmed by options rather than lacking them. By shifting the focus from surface-level feature comparisons to deep tradeoff analysis, Jupiter identifies the most robust route based on real-world constraints and specific objective functions.
The skill operates on the principle that bad decisions usually stem from poor routing logic. It forces structural clarity on what best actually means for a given project, whether that involves prioritizing speed, minimizing fragility, or ensuring reversibility. Jupiter acts as a strategic filter that ranks options by fit rather than hype, ensuring that hidden risks and execution burdens are exposed before a commitment is made.
Jupiter Use Cases
- Selecting between multiple vendors or suppliers with competing cost and speed tradeoffs.
- Ranking investment candidates based on upside potential versus downside fragility.
- Deciding on a strategic product direction when team focus is a limited resource.
- Evaluating partnership opportunities that require significant coordination or switching costs.
- Choosing execution paths where long-term stability and reversibility are critical.
How Jupiter Works
- Context Parsing: The skill extracts available options, constraints, and risk tolerance from the user input.
- Objective Definition: Jupiter forces a clear definition of the objective function (e.g., lowest risk vs. highest upside).
- Multi-Lens Evaluation: Each route is analyzed through six lenses: Objective Fit, Constraint Compatibility, Tradeoff Clarity, Execution Simplicity, Fragility Risk, and Reversibility.
- Path Ranking: The system generates a structured ranking, identifying the Best Route, a Fallback Route, and the Weakest Route.
- Validation & Next Steps: Jupiter provides a list of sacrifices made for the chosen path and suggests immediate tactical steps for validation.
Jupiter Setup
To integrate Jupiter into your workflow, ensure your agent has access to the Openclaw Skills repository.
# Install the skill via the Openclaw CLI
openclaw install jupiter
# Verify activation rules in your agent config
openclaw skills list --active
Once installed, trigger the skill by providing a set of 3-10 options and a primary objective.
Jupiter Data Schema & Taxonomy
Jupiter organizes decision data using a structured routing assessment schema to ensure consistency across different Openclaw Skills implementations:
| Field | Description | Type |
|---|---|---|
decision_type |
The category of choice being made (e.g., Vendor, Strategy) | String |
primary_objective |
The core definition of what 'best' means for this session | String |
option_map |
A dictionary of all viable paths and their surface characteristics | List |
route_ranking |
The computed order of options from strongest to weakest | List |
fragility_index |
Assessment of hidden dependencies or single points of failure | Object |
reversibility_score |
Evaluation of the cost to pivot if the route fails | Integer |
Jupiter Advanced Features
- Tradeoff Exposure: Automatically flags options that look attractive on the surface but carry high execution burdens.
- Fallback Computation: Identifies a secondary 'safety' route in case the primary path hits unforeseen constraints.
- Uncertainty Honesty: Explicitly lists unknown variables that would most significantly change the current ranking.
- Constraint Compatibility Check: Hard-filters options against budget ceilings and time-pressure requirements.
- Multi-Agent Routing: Can be used as a sub-routine for other Openclaw Skills to handle strategic decision-making blocks.
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