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
Suivez les instructions du dépôt pour votre agent. Consultez les fichiers et dépendances avant l’installation.
SkillHub CLI
skillhub install architect-sis/sis-skillExaminez la source et la compatibilité, puis suivez les étapes d’installation.
Donnez le lien à votre agent et demandez-lui d’examiner instructions et dépendances avant d’expliquer les étapes.
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...Ces informations proviennent de l’analyse indexée et peuvent être anciennes. Vérifiez les fichiers actuels.
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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