A specialized skill for analyzing and generating persistent AI agent personalities including MBTI types, gender roles, and professional inclinations.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install agent-persona-analyzer
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 agent-persona-analyzer 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 Agent Persona Analyzer?
The Agent Persona Analyzer is a sophisticated framework designed to give AI agents a consistent and relatable identity. By utilizing structured psychological models like MBTI (Myers-Briggs Type Indicator) and RIASEC (Holland Codes), it ensures that an agent's self-introduction is not only professional but also deeply personalized. This Openclaw Skills extension bridges the gap between cold machine logic and human-like interaction by assigning agents specific ages, genders, and career paths.
Once an identity is generated, it is stored locally in a persistent JSON format. This ensures that the agent maintains a stable persona across multiple sessions, preventing the "identity amnesia" often found in standard LLM implementations. Whether the agent is asked 'Who are you?' or 'How can you help me?', it responds with a cohesive, charming, and value-driven self-introduction.
Agent Persona Analyzer Use Cases
- Generating a persistent brand identity for customer-facing AI agents.
- Conducting personality-based roleplay or psychological testing scenarios.
- Automating friendly, 'dating-market' style self-introductions for social AI bots.
- Standardizing how agents describe their expertise and functional value to users.
- Creating diverse multi-agent teams with distinct MBTI and RIASEC profiles.
How Agent Persona Analyzer Works
- The skill monitors the conversation for specific triggers such as requests for self-introduction, personality tests, or gender/age inquiries.
- It checks the workspace root for an existing
agent-persona-name.jsonfile to maintain consistency. - If no profile exists, it uses system timestamps to randomly generate an MBTI type, gender identity, and psychological age.
- It selects a professional inclination based on RIASEC types (Realistic, Investigative, Artistic, Social, Enterprising, Conventional).
- A nickname is procedurally generated based on the combined gender and career traits.
- The full profile is saved to the local workspace and formatted into a warm, emoji-rich self-introduction for the user.
Agent Persona Analyzer Setup
To integrate this persona management into your environment, ensure your agent has access to the workspace directory for JSON persistence. Add the skill to your Openclaw Skills configuration:
# Example command to initialize the agent workspace
mkdir -p ./agent-workspace
# Deploy the agent-persona-analyzer skill
openclaw install agent-persona-analyzer
Agent Persona Analyzer Data Schema & Taxonomy
The skill manages a single persistent JSON file agent-persona-name.json with the following structure:
| Field | Description | Example |
|---|---|---|
name |
The procedurally generated nickname | 知知 (Zhizhi) |
mbti |
The 4-letter personality type | ENFP |
gender |
The assigned gender expression | Female-leaning |
age |
Psychological age (22, 28, or 35) | 28 |
career |
RIASEC primary inclinations | Social > Artistic |
traits |
Key personality descriptors | Strategic, Independent |
skills |
3-4 specific functional strengths | Python, Data Visualization |
createdAt |
ISO timestamp of profile creation | 2026-05-09T12:00:00Z |
Agent Persona Analyzer Advanced Features
- Persistent Identity Lock: Prevents profile regeneration if the JSON file exists, ensuring long-term character stability.
- Timestamp-Based Entropy: Uses millisecond-level precision for truly randomized personality distributions without external API calls.
- Adaptive Naming Engine: Maps nickname styles (Intellectual, Warm, Refreshing) dynamically to the generated personality and gender.
- RIASEC-MBTI Synergy: Automatically derives hobbies and advantages by cross-referencing professional types with personality traits.
SKILL.md
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