Reasoning Personas for Openclaw

Activate specialized high-agency thinking modes to optimize AI reasoning patterns for brainstorming, review, and complex decision-making.

artyomx33
v1.0.0
Jan 26, 2026
12
6.2k
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install reasoning-personas

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install reasoning-personas 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 Reasoning Personas?

Reasoning Personas is a sophisticated behavioral modification skill designed for Openclaw Skills. It allows an AI agent to pivot its cognitive framework by adjusting reward functions and activating specific questioning protocols. By shifting into specialized modes—such as the Gonzo Truth-Seeker or the Integrator—the agent can bypass local optima and provide deeper, more nuanced insights than standard models.

This skill is particularly effective for developers and researchers who need an agent that does not just agree, but actively challenges assumptions, identifies architectural precedents, and ensures holistic system coherence. It serves as a mental toolkit that transforms a generic assistant into a specialized high-agency partner.

Reasoning Personas Use Cases

  • Brainstorming new product features or creative ideas to find hidden gaps.
  • Stress-testing project plans and architectural decisions before commitment.
  • Identifying historical precedents and learning from previous decision traces.
  • Ensuring system-wide coherence during complex system integration tasks.
  • Conducting thorough code reviews through the lens of a specialized Devil's Advocate.

How Reasoning Personas Works

  1. Context Detection: The system automatically identifies the required thinking mode based on the current active skill or specific user triggers.
  2. Persona Activation: Internal prompts are loaded to modify the agent's behavior, adjusting reward functions for specific types of cognitive output.
  3. Framework Application: The agent runs the query through a specialized question set, such as asking what happens at 10x scale or what assumptions are being made.
  4. Structured Output: The AI generates a response that reflects the active persona's unique priorities, either silently or with explicit persona tagging.

Reasoning Personas Setup

To integrate this skill into your environment, use the Openclaw Skills management CLI:

openclaw install reasoning-personas

Ensure that your agent configuration has access to the local reference directory to load the full activation prompts and question sets.

Reasoning Personas Data Schema & Taxonomy

This skill organizes its logic through a mapping of contexts to personas and specific reward functions. The following table illustrates the default auto-activation logic used within Openclaw Skills:

Context Default Persona Primary Goal
brainstorming Gonzo Truth-Seeker Find gaps and hidden truths
code-review Devil's Advocate Identify failure modes and risks
architecture Pattern Hunter Identify precedents and connections
integration Integrator Ensure system-wide coherence

Metadata is stored in a structured markdown format to allow for easy persona extension and framework updates.

Reasoning Personas Advanced Features

  • Multi-Persona Analysis: Automatically cycle through Pattern Hunter, Gonzo, Devil's Advocate, and Integrator for a comprehensive 360-degree review of any proposal.
  • Auto-Activation Hooks: Deeply integrated with other Openclaw Skills to trigger specific personas during plan-writing, brainstorming, or expert-extraction phases.
  • Manual Trigger Recognition: Responds to specific natural language commands like put on your Gonzo hat or devil's advocate this.
  • Silent Reasoning Support: The ability to apply the high-agency reasoning framework internally without changing the conversational tone or cluttering the output with persona tags.

SKILL.md


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