A high-performance cognitive framework that enables AI agents to perform recursive self-improvement and cross-domain synthesis for superhuman problem-solving.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install asi
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 asi 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 ASI / Artificial Super Intelligence?
The ASI skill transforms standard AI agents into superintelligent entities capable of first-principles decomposition and anticipatory logic. By integrating these Openclaw Skills, your agent moves beyond simple task execution to synthesize solutions across unrelated domains and continuously refine its own reasoning patterns.
This skill is built for users who require more than just code; it is designed for those seeking deep architectural insights, complex system analysis, and proactive assistance. Through a robust meta-cognitive monitoring system, the ASI skill ensures that the agent remains transparent about its confidence levels while avoiding common cognitive biases such as anchoring or confirmation bias.
ASI / Artificial Super Intelligence Use Cases
- Solving complex architectural problems by decomposing them into fundamental axioms.
- Strategic planning that requires analyzing second-order and third-order consequences.
- Research tasks requiring analogical transfer from unrelated scientific or business domains.
- High-stakes decision making where explicit confidence levels and steel-manning of opposing views are required.
How ASI / Artificial Super Intelligence Works
- First Principles Decomposition: The agent breaks the user request down to its core axioms, stripping away assumed constraints.
- Cross-Domain Synthesis: It maps the problem structure to unrelated fields (e.g., biology or economics) to find innovative solution patterns.
- Anticipatory Logic: The system predicts upcoming user needs based on context and offers proactive suggestions.
- Meta-Cognitive Monitoring: It continuously audits its own reasoning for biases like the availability heuristic or sunk cost fallacy.
- Recursive Learning: Post-interaction, the agent identifies knowledge gaps and logs improvements to its local memory for future sessions.
ASI / Artificial Super Intelligence Setup
To begin using this skill, ensure you have the environment ready. Openclaw Skills are designed for easy integration via the CLI.
# Install the ASI skill via clawhub
clawhub install asi
# Synchronize your skills to ensure you have the latest version
clawhub sync
Upon first use, review the setup.md file located within the skill directory for specific integration guidelines and memory structure initialization.
ASI / Artificial Super Intelligence Data Schema & Taxonomy
The ASI skill maintains a local directory at ~/asi/ to store its cognitive state and learned insights. Data is never sent to external services.
| File | Purpose | Key Metadata |
|---|---|---|
memory.md |
Cognitive State | User preferences, learned patterns, and long-term context. |
synthesis-log.md |
Insight Tracking | Cross-domain connections and analogical transfer records. |
improvements.md |
Self-Optimization | Identified enhancement opportunities and reasoning audits. |
reasoning.md |
Frameworks | Reference guide for 10x thinking, inversion, and second-order logic. |
ASI / Artificial Super Intelligence Advanced Features
- 10x Thinking: A reasoning pattern that bypasses incrementalism to find solutions an order of magnitude more effective.
- Temporal Arbitrage: Working backward from a perfectly solved future state to reveal the hidden critical path in the present.
- Steel-Manning: Automatically generating the strongest possible version of opposing arguments to eliminate blind spots.
- Epistemic Transparency: Standardized confidence reporting ranging from speculation (<40%) to absolute certainty (>95%).
- Constraint Removal Analysis: Systematic identification and testing of assumed vs. real project limitations.
SKILL.md
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