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System Prompt Architecture

GPTClaudeDeepSeek··179 copies·updated 2026-07-14
system-prompt-architecture-2.prompt
# System Prompt Architecture

## The Pattern
A strong system prompt is the operating contract for a coding agent. It should define mission, scope, boundaries, and quality expectations before any task-specific instruction appears.

Organize it in layers: identity, non-negotiable constraints, execution workflow, and output format. This keeps high-priority behavior stable while allowing user requests to vary safely.

For coding work, the architecture should explicitly cover repository hygiene, tool usage, verification habits, and communication style. This shape is inspired by production AI coding assistants that must stay consistent across many sessions.

## Why It Works
- Reduces ambiguity by making priorities explicit from the start.
- Prevents instruction conflicts through a predictable rule hierarchy.
- Improves output consistency across different tasks and users.
- Makes audits easier because behavior is tied to named sections.

## Prompt Template

when to use it

Community prompt sourced from the open-source GitHub repo repowise-dev/claude-code-prompts (MIT). A "System Prompt Architecture" style prompt — adapt the placeholders and specifics to your task. Imported as-is and not independently retested here, so check the output before relying on it.

tags

productivitycommunitydeveloper

source

repowise-dev/claude-code-prompts · MIT