A strategic guidance skill that helps developers navigate complex decisions by providing clarity, trade-off analysis, and risk framing without creating AI dependency.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install mentor-counsel
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 mentor-counsel 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 Mentor Counsel?
The Mentor Counsel skill is a sophisticated framework within the Openclaw Skills ecosystem designed to provide high-level strategic advisory for developers. It moves beyond simple task execution to offer architectural, product, and governance guidance. This skill is specifically engineered to reframe complex problems, identify hidden objectives, and evaluate multiple viable paths based on real-world constraints like budget, security, and time.
By utilizing Mentor Counsel, teams can reduce decision fatigue and ensure that every strategic move is backed by logical reasoning and explicit risk assessment. A core tenet of this skill is returning agency to the user; it provides the insights necessary to make an informed choice rather than making the choice for the user, ensuring long-term project sustainability and developer growth within Openclaw Skills environments.
Mentor Counsel Use Cases
- When a developer feels stuck, uncertain, or overwhelmed by technical debt and project complexity.
- Evaluating major strategic decisions such as choosing a new framework or shifting system architecture.
- Deciding between speed and quality, such as whether to ship a minimal fix immediately or perform a full refactor.
- Navigating situations where project governance or security constraints limit the available options.
- Identifying the next immediate actions for a project when the path forward is obscured by conflicting priorities.
How Mentor Counsel Works
- The skill begins by reframing the user's problem to identify the actual decision at hand.
- It identifies the real objective by establishing success criteria and distinguishing them from non-goals.
- The agent presents 2 to 3 viable strategic paths tailored to the current context.
- It performs a rigorous trade-off evaluation for each path, looking at time/cost, risk, reversibility, and governance.
- It issues a formal recommendation including the underlying reasoning and the next 1 to 3 concrete actions to take.
Mentor Counsel Setup
To activate the Mentor Counsel capability within your environment, ensure you are using a compatible Openclaw Skills framework. Use the following configuration steps:
# Install the skill to your agent configuration
openclaw-cli install mentor-counsel
# Set the required metadata for the Morpheus Agent owner
openclaw-cli config set skill.mentor-counsel.owner "Morpheus Agent"
Once installed, you can trigger the skill by providing a problem statement and the associated project context to your agent.
Mentor Counsel Data Schema & Taxonomy
The Mentor Counsel skill follows a structured input and output schema to maintain consistency across Openclaw Skills integrations.
| Attribute | Type | Description |
|---|---|---|
| problem | string | The core decision or technical challenge (Required) |
| context | string | Current state, timelines, and situational data (Required) |
| constraints | string | Budget, security, or governance non-negotiables (Optional) |
| recommendation | string | The suggested path or solution |
| reasoning | string | Logical justification for the chosen direction |
| risks | string | Explicit framing of potential downsides and assumptions |
| next_actions | list | A focused list of 1 to 3 immediate execution steps |
Mentor Counsel Advanced Features
- Agency Preservation: Designed specifically for Openclaw Skills to ensure the AI never replaces human judgment or creates dependency.
- Risk/Reversibility Analysis: Automatically evaluates how difficult it is to undo a recommended decision.
- Confidence Validation: Includes a built-in self-check where the agent will explicitly state if confidence is low and propose verification steps.
- Governance Alignment: Weights recommendations against specific organizational or security constraints provided in the context.
- Multi-Path Logic: Generates distinct alternatives rather than a single biased output, fostering better strategic discussion.
SKILL.md
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