A high-performance, minimalist AI agent framework that uses Socratic questioning and multi-model debates to solve complex decision problems with 97% less code.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install uniskill-v4
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 uniskill-v4 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 UniSkill V4?
UniSkill V4 is a radical architectural shift in the AI agent landscape, distilling nearly 9,000 lines of legacy code into a lean, 260-line high-efficiency framework. This Openclaw Skills compatible tool focuses on the core 3% of functionality that delivers 90% of the value, specifically emphasizing Socratic demand anchoring and adversarial multi-model reasoning. It is designed for developers who require rapid, memory-safe agentic behavior without the overhead of heavy abstractions.
By prioritizing convergence and adversarial logic, UniSkill V4 ensures that AI agents don't just provide answers, but engage in rigorous validation. This makes it an essential addition to any developer's toolkit when building robust, decision-oriented applications on Openclaw Skills.
UniSkill V4 Use Cases
- Automated evaluation and verification of complex technical proposals and software architectures.
- Strategic decision-making support for choosing between open-source and closed-source enterprise solutions.
- Precise CNC machining price estimation involving material costs, processing time, and part complexity.
- Resolving multi-option selection dilemmas through synthesized expert consultation perspectives.
How UniSkill V4 Works
- The Socratic Engine utilizes 5W2H demand anchoring to verify the clarity of user input.
- A convergence coefficient check is performed; if the clarity score falls below the 0.7 threshold, the engine triggers follow-up questions to fill critical parameter gaps.
- The High-speed Debater initiates an asynchronous adversarial session across multiple models (e.g., Technical, Commercial, and Investment viewpoints).
- All model outputs are evaluated against a specialized five-dimensional scoring system.
- The Orchestrator synthesizes the debate results into a final actionable recommendation while maintaining strict memory safety.
UniSkill V4 Setup
To integrate UniSkill V4 into your environment, use the following Python configuration:
from uniskill_v4 import check_clarity, quick_debate
# Step 1: Verify prompt clarity using the Socratic engine
is_clear, prompt = check_clarity("Process 10 TC4 parts")
# Step 2: Execute an asynchronous multi-model debate
result = quick_debate(
"Should we use Open Frameworks?",
["Option A: Full Open Source", "Option B: Hybrid", "Option C: Closed"]
)
UniSkill V4 Data Schema & Taxonomy
| Component | Technical Specification | Description |
|---|---|---|
| Codebase Size | 260 Lines | Condensed from 8,771 lines |
| Memory Footprint | < 100MB | Optimized for edge and local deployment |
| Startup Latency | < 0.5s | Near-instant module initialization |
| Convergence | 0.7 Threshold | Floating point clarity requirement |
| Evaluation | 5D Scoring | Technical, Commercial, Risk, Investment, Efficiency |
UniSkill V4 Advanced Features
- Asynchronous multi-model adversarial debate logic for unbiased, multi-perspective results.
- Integrated 5W2H Socratic probing to eliminate prompt ambiguity and prevent AI hallucinations.
- High-speed orchestration with built-in timeout protection and safe memory management.
- Seamless compatibility with Openclaw Skills for creating automated technical consultation pipelines.
- Minimalist architecture featuring only three core modules for maximum maintainability.
SKILL.md
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