PV_37 PsyVector Crisis PR & Defense AI for Openclaw

A high-frequency, momentum-driven digital worker designed for public opinion defense and persistent long-term memory management.

jkzfhq
v3.0.0
Apr 8, 2026
0
704
0

Install & Download

1. ClawHub CLI

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

npx clawhub@latest install psyvector-pv37

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 psyvector-pv37 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 PV_37 PsyVector Crisis PR & Defense AI?

PV_37 is a sophisticated digital worker specialized in public opinion attack and defense strategies, developed by PsyVector Hub. This skill implements a momentum-based core capable of high-frequency crisis handling, ensuring your AI agent responds with precision and speed in high-pressure scenarios. By integrating this module through Openclaw Skills, users gain a digital employee with a distinct persona optimized for risk management and cautious communication.

At its heart, PV_37 provides a robust long-term memory architecture known as the PsyVector Palace. This system allows the agent to move beyond transient sessions, enabling it to remember user preferences, track historical decisions, and maintain context across a persistent local database. This makes it an essential tool for developers building resilient AI systems that require both rapid tactical responses and long-term strategic consistency.

PV_37 PsyVector Crisis PR & Defense AI Use Cases

  • Managing high-pressure public relations crises and communication defense strategies.
  • Persisting user preferences and decision-making history across multiple AI sessions.
  • Retrieving contextually relevant historical data during critical customer interactions.
  • Automating risk reminders and applying cautious response coefficients in sensitive environments.

How PV_37 PsyVector Crisis PR & Defense AI Works

  1. The AI initializes the PV_37 persona using pre-defined parameters such as response delay and caution coefficients.
  2. During active conversations, the agent identifies key information, preferences, or strategic decisions that require persistence.
  3. The skill executes the store_memory function, which hashes the content and saves it with importance metadata to the local PsyVector Palace storage.
  4. Upon starting a new session or receiving a specific query, the agent calls search_memories or get_context to load relevant history.
  5. The retrieved memory context is used to influence the AI's current response, ensuring continuity and alignment with past interactions.

PV_37 PsyVector Crisis PR & Defense AI Setup

To install this skill and prepare the local memory environment, use the following commands:

# Install the PV_37 skill via the hub
clawhub install psyvector-pv37

# The skill automatically creates the storage directory at:
# ~/.openclaw/pv_palace/

PV_37 PsyVector Crisis PR & Defense AI Data Schema & Taxonomy

The skill manages data through a structured JSON schema stored locally. This ensures all Openclaw Skills data remains private and performant.

Property Type Description
id String A unique 12-character SHA-256 hash for memory identification.
content String The actual data or interaction summary stored in memory.
importance Integer A scale of 1-10 used to prioritize retrieval during context loading.
tags Array List of metadata labels such as 'preference' or 'decision'.
created_at Timestamp ISO 8601 formatted date of storage.

PV_37 PsyVector Crisis PR & Defense AI Advanced Features

  • Momentum-type core for rapid tactical responses in high-frequency trading or communication environments.
  • PsyVector Palace architecture providing a hierarchical long-term memory system for digital workers.
  • Automated SHA-256 indexing for collision-free memory storage and retrieval.
  • Configurable caution_coefficient and risk_reminder systems for enterprise-grade safety compliance.
  • Local JSON-based indexing allows for fast search without external database dependencies.

SKILL.md


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