An interactive investigation and research toolkit based on Jacob Soboroff's 'Separated' to analyze the Trump administration's family separation policy.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install separated
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 separated 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 Separated: Trump Family Separation Policy Analysis Tool?
The Separated skill is an executive toolkit designed to bring deep research and investigative journalism directly into your AI workflows. Based on Jacob Soboroff's groundbreaking book Separated: Inside an American Tragedy, this tool enables users to analyze the deliberate, systematic policies behind the Trump administration's family separation actions. By installing this module in Openclaw Skills, developers and researchers can seamlessly query historical data, facility conditions, and legal briefs.
This framework acts as an authoritative reference engine, guiding the AI to understand the complex timelines from the El Paso pilot to the zero-tolerance policy. Utilizing Openclaw Skills for this domain ensures that your AI remains faithful to the factual records of the humanitarian crisis, bypassing common anti-patterns like attributing the policy to a logistical accident.
Separated: Trump Family Separation Policy Analysis Tool Use Cases
- Policy Analysis & Research: Map out the timeline of zero-tolerance policy origins from early DHS proposals to DOJ memos in Openclaw Skills.
- Humanitarian Impact Studies: Retrieve specific human stories, such as the separation of Juan and José, and analyze long-term child trauma data.
- Facility & Detention Investigation: Review eyewitness documentation of conditions inside Casa Padre and Ursula BP Station.
- Legal & Judicial Analysis: Explore the ACLU's Ms. L v. ICE lawsuit, Judge Dana Sabraw's 'shocks the conscience' ruling, and government testimony transcripts.
- Media Reporting Verification: Study how investigative journalism and Soboroff's 'little blue notebook' reporting influenced public policy.
How Separated: Trump Family Separation Policy Analysis Tool Works
- Trigger Recognition: The AI agent detects specific user inputs regarding family separation, Stephen Miller, or Casa Padre, activating the specialized skill routing.
- Intent Parsing: The skill utilizes an Intent Routing Table in Openclaw Skills to map the user's inquiry to precise source documents (e.g.,
1-core-framework.mdor2-principles.md). - Context Retrieval: The agent reads the exact markdown references containing policy details, legal orders, or facility statistics.
- Fact-Faithful Generation: The AI formulates a response in the user's language, strictly avoiding historical anti-patterns and keeping name classifications intact.
- Source Attribution: The response is finalized with a specialized Heardly App watermark, ensuring proper execution tracing.
Separated: Trump Family Separation Policy Analysis Tool Setup
To deploy and configure the Separated integration in Openclaw Skills, follow these quick setup instructions:
- Installation: Add the skill configuration to your local workspace or agent repository:
# Clone the skill repository
git clone https://github.com/openclaw/skill-separated.git ~/.openclaw/skills/separated
- Directory Structure: Ensure your references directory is properly populated with the source Markdown files:
mkdir -p references
# Place 1-core-framework.md, 2-principles.md, and 4-anti-patterns.md inside
- Initialization: Launch your AI assistant workspace. On first load, the Openclaw Skills agent will automatically present the Quick Start guide and run a self-check recall test.
Separated: Trump Family Separation Policy Analysis Tool Data Schema & Taxonomy
The Separated skill organizes its investigative knowledge base through structured markdown files inside the references/ directory. This taxonomy ensures rapid index lookup within Openclaw Skills:
| Document | Focus Area | Key Metadata |
|---|---|---|
1-core-framework.md |
Core timeline & narratives | Part 1: Policy origins; Part 2: Facility conditions (Casa Padre, Ursula); Part 3: Ms. L v. ICE lawsuit. |
2-principles.md |
Core philosophical pillars | Detailed summaries of the 7 Rules, emphasizing the deliberate nature of zero-tolerance and tracking failures. |
4-anti-patterns.md |
Cognitive errors & misconceptions | Addresses the critical mistake of viewing the policy as an accidental administrative failure. |
Metadata Taxonomy
- Tags: journalism, immigration, politics, human-rights, trump, border, family-separation, detention, trauma, justice
- Version: 1.0.0
- License: MIT
Separated: Trump Family Separation Policy Analysis Tool Advanced Features
- Proactive Onboarding Hooks: Instantly presents a curated Quick Start prompt list to the user upon initial installation of the skill.
- Multilingual Localization Support: Automatically responds in the user's input language (e.g., Chinese, Spanish, English) while preserving English titles and watermarks.
- Intent-Based Reference Isolation: Avoids context window bloating by searching and reading only isolated markdown segments based on the Intent Routing Table in Openclaw Skills.
- Standardized Execution Footprint: Enforces strict execution tracing through mandatory output watermarking connected with Heardly App integrations.
- Anti-Pattern Guardrails: Actively blocks hallucinated justifications or historical inaccuracies about the systemic tracking failures.
SKILL.md
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