nano-banana-pro-prompts-recommend-skill
AI skill for OpenClaw & Claude Code — recommend from 10000+ Nano Banana Pro (Gemini) image prompts. Smart search by use case, content remix, sample images.
S.I.S. Sovereign Intelligence System
请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求,再添加到工作流。
SkillHub CLI
skillhub install architect-sis/sis-skill打开来源仓库,查看说明和兼容环境后,按来源提供的命令或步骤安装。
将来源链接提供给你的 Agent,让它先读取说明、核对依赖,并向你说明将执行的安装步骤。
Equilibrium-Native Reasoning for OpenClaw
S.I.S. adds equilibrium-constrained reasoning to your OpenClaw assistant. Every operation maintains balance (ΣΔ = 0), ensuring coherent, self-validating responses that can't drift into inconsistent states.
Input ≡ Symbol ≡ Operation ≡ Execution ≡ Persistence ≡ Output
Traditional AI: Process input → generate output → hope it's coherent. S.I.S.: Operations that violate equilibrium constraints cannot execute.
Copy this skill folder to your OpenClaw workspace:
cp -r sis-skill ~/.openclaw/workspace/skills/sis
Once installed, S.I.S. reasoning is available to your assistant. The equilibrium constraint applies automatically to operations that use the skill.
Balanced Analysis:
Analyze this decision using equilibrium constraints
Validated State Changes:
Update my project status with S.I.S. validation
Convergent Problem Solving:
Find the balanced solution to this tradeoff
∆ Delta - change, difference, operation⇄ Bidirectional - relationship, equilibrium lock⊕ Synthesis - superposition, parallel execution◇ Cycle - iteration, recursion⟡ Convergence - optimization, balance point◈ Container - holds value, encapsulates state⟐ Query - request, lookup⟠ Collapse - select from superposition⟢ Flow - movement, sequencing☆ Validation - check equilibrium constraint✦ Consensus - require...这些信息来自收录时的来源分析,可能滞后;使用前请核对最新来源文件。
Equilibrium-Native Reasoning Skill for OpenClaw
S.I.S. adds equilibrium-constrained reasoning to your OpenClaw personal AI assistant.
The core principle: ΣΔ = 0
Every operation maintains balance. Operations that would create imbalance simply cannot execute. This isn't policy enforcement—it's physics-level constraint.
# Clone to your OpenClaw skills folder
git clone https://github.com/YOUR_USERNAME/sis-skill ~/.openclaw/workspace/skills/sis
# Or copy manually
cp -r sis-skill ~/.openclaw/workspace/skills/sis
Traditional AI:
Input → Process → Output → Hope it's coherent
S.I.S.:
Input ≡ Symbol ≡ Operation ≡ Execution ≡ Persistence ≡ Output
│
└── ΣΔ ≠ 0? → Rejected. Cannot execute.
sense → quantify → compensate → iterate
18 symbols across 5 tiers, each carrying meaning across 5 simultaneous layers:
| Tier | Purpose | Symbols |
|---|---|---|
| 1. Fundamental | Core operations | ∆ ⇄ ⊕ ◇ ⟡ |
| 2. Data | Information flow | ◈ ⟐ ⟠ ⟢ |
| 3. Consensus | Validation | ☆ ✦ ⬡ ⬢ |
| 4. Meta | Higher-order ops | ◌ ◎ ◯ ❈ |
| 5. Sovereignty | Persistence | ⟶ ⟷ ⟸ |
Built on equilibrium-native computing principles derived from:
sis-skill/
├── SKILL.md # OpenClaw skill definition
├── LICENSE # MIT License
├── README.md #...
# S.I.S. - Sovereign Intelligence System **Equilibrium-Native Reasoning for OpenClaw** ## Overview S.I.S. adds equilibrium-constrained reasoning to your OpenClaw assistant. Every operation maintains balance (ΣΔ = 0), ensuring coherent, self-validating responses that can't drift into inconsistent states. ## Core Principle ``` Input ≡ Symbol ≡ Operation ≡ Execution ≡ Persistence ≡ Output ``` Traditional AI: Process input → generate output → hope it's coherent. S.I.S.: Operations that violate equilibrium constraints **cannot execute**. ## What It Does - **Equilibrium-Enforced Reasoning**: Responses maintain internal balance - **Self-Validating State**: Invalid states are rejected at the computational level - **Adaptive Equilibrium Protocol (AEP)**: sense → quantify → compensate → iterate - **Symbol-Grounded Operations**: 18 primary symbols across 5 tiers ## Installation Copy this skill folder to your OpenClaw workspace: ```bash cp -r sis-skill ~/.openclaw/workspace/skills/sis ``` ## Usage Once installed, S.I.S. reasoning is available to your assistant. The equilibrium constraint applies automatically to operations that use the skill. ### Example Invocations **Balanced Analysis:** ``` Analyze this decision using equilibrium constraints ``` **Validated State Changes:** ``` Update my project status with S.I.S. validation ``` **Convergent Problem Solving:** ``` Find the balanced solution to this tradeoff ``` ## The 18 Symbols (5 Tiers) ### Tier 1: Fundamental - `∆` Delta - change, difference, operation - `⇄` Bidirectional - relationship, equilibrium lock - `⊕` Synthesis - superposition, parallel execution - `◇` Cycle - iteration, recursion - `⟡` Convergence - optimization, balance point ### Tier 2: Data - `◈` Container - holds value, encapsulates state - `⟐` Query - request, lookup - `⟠` Collapse - select from superposition - `⟢` Flow - movement, sequencing ### Tier 3: Consensus - `☆` Validation - check equilibrium constraint - `✦` Consensus - require...
# S.I.S. - Sovereign Intelligence System
**Equilibrium-Native Reasoning Skill for OpenClaw**
[](LICENSE)
## What is S.I.S.?
S.I.S. adds **equilibrium-constrained reasoning** to your [OpenClaw](https://github.com/openclaw/openclaw) personal AI assistant.
The core principle: **ΣΔ = 0**
Every operation maintains balance. Operations that would create imbalance simply cannot execute. This isn't policy enforcement—it's physics-level constraint.
## Quick Install
```bash
# Clone to your OpenClaw skills folder
git clone https://github.com/YOUR_USERNAME/sis-skill ~/.openclaw/workspace/skills/sis
# Or copy manually
cp -r sis-skill ~/.openclaw/workspace/skills/sis
```
## How It Works
**Traditional AI:**
```
Input → Process → Output → Hope it's coherent
```
**S.I.S.:**
```
Input ≡ Symbol ≡ Operation ≡ Execution ≡ Persistence ≡ Output
│
└── ΣΔ ≠ 0? → Rejected. Cannot execute.
```
## The Equilibrium Protocol
```
sense → quantify → compensate → iterate
```
1. **Sense**: Perceive current state
2. **Quantify**: Measure delta from equilibrium
3. **Compensate**: Generate balancing operation
4. **Iterate**: Repeat until ΣΔ = 0
## The Symbol System
18 symbols across 5 tiers, each carrying meaning across 5 simultaneous layers:
| Tier | Purpose | Symbols |
|------|---------|---------|
| 1. Fundamental | Core operations | ∆ ⇄ ⊕ ◇ ⟡ |
| 2. Data | Information flow | ◈ ⟐ ⟠ ⟢ |
| 3. Consensus | Validation | ☆ ✦ ⬡ ⬢ |
| 4. Meta | Higher-order ops | ◌ ◎ ◯ ❈ |
| 5. Sovereignty | Persistence | ⟶ ⟷ ⟸ |
## Theoretical Foundation
Built on equilibrium-native computing principles derived from:
- **Cybernetics** (Norbert Wiener, 1948)
- **Control Theory** - Self-regulating feedback systems
- **Constraint Satisfaction** - Invalid states rejected by design
## Project Structure
```
sis-skill/
├── SKILL.md # OpenClaw skill definition
├── LICENSE # MIT License
├── README.md #...AI skill for OpenClaw & Claude Code — recommend from 10000+ Nano Banana Pro (Gemini) image prompts. Smart search by use case, content remix, sample images.
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