⁷# Balistix-language-LLM Redefining prompt engineering as structured cognition.

🔥 What is this?

Claude Ballistix is a modular semantic programming language designed to control Claude-like AI agents using structured balises (tags).
It transforms flat prompt writing into contextual logic flow, persistent memory simulation, and automated behavior adaptation.

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🧩 Key Concepts

1. 🔖 Balises (Tags)

Each :balise: triggers a specific behavior.
They act as compiled instructions in the Claude reasoning process.

:see_code:     → Analyze repo before coding
:err:          → Create temporary test script
:speak:        → Ask the user for clarification
2. ⚙️ Instructions (:instruct:)
Create reusable instructions that act like functions:

:<instruct: "Scan for OWASP vulnerabilities" :instruct=security_step1>:
:security_step1:
3. 💾 Persistent Memory Simulation
Everything is written/read from a virtual memory file:

Agent.md for symbolic logic

The AI reads these at the beginning of each prompt to rebuild its mental state.

🧠 Example Workflow
plaintext
Mode : Security_scan
:security_step1: :scan_code: :test:
Claude Agent will:

Retrieve mode config from Agent.md

Resolve embedded balises

Execute them iteratively

Update memory state automatically

📁 Files
Agent.md → Symbolic cognitive state

🛠 Use Cases
Multi-step coding workflows

Security audits

Memory-based roleplay agents

Function chaining with explainability

CLI-style Claude automation

🚀 Vision
Claude Ballistix is not a chatbot gimmick. It’s a step toward programmable cognition — giving LLMs a structured runtime mental model.

It bridges the gap between:

Prompts → Logical operations

Memory → Executable traces

Instructions → Modular intelligence

🧑‍💻 Author
Created by Kililig – inspired by the need for adaptive reasoning and modular task memory in AI systems.