Sub-skill of prompt-engineering: Anatomy of a Prompt (+1).
Scanned 9/9/2026
Install to Claude Code
npx -y skills add vamseeachanta/workspace-hub --skill anatomy-of-a-prompt --agent claude-codeInstalls into .claude/skills of the current project.
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---
name: prompt-engineering-anatomy-of-a-prompt
description: 'Sub-skill of prompt-engineering: Anatomy of a Prompt (+1).'
version: 1.0.0
category: ai-prompting
type: reference
scripts_exempt: true
---
# Anatomy of a Prompt (+1)
## Anatomy of a Prompt
```
[SYSTEM CONTEXT] - Who is the AI, what are its capabilities/constraints
[TASK DESCRIPTION] - What needs to be done
[INPUT DATA] - The specific content to process
[OUTPUT FORMAT] - How the response should be structured
[EXAMPLES] - Optional: demonstrations of desired behavior
[CONSTRAINTS] - Limitations, things to avoid
```
## The Prompt Engineering Loop
```
1. Define Goal -> What do you want to achieve?
2. Draft Prompt -> Initial attempt
3. Test -> Run with diverse inputs
4. Analyze -> Identify failures and patterns
5. Refine -> Improve based on analysis
6. Repeat -> Until quality meets requirements
```
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Ultra-compressed communication mode. Cuts token usage ~75% by speaking like caveman while keeping full technical accuracy. Supports intensity levels: lite, full (default), ultra, wenyan-lite, wenyan-full, wenyan-ultra. Use when user says "caveman mode", "talk like caveman", "use caveman", "less tokens", "be brief", or invokes /caveman. Also auto-triggers when token efficiency is requested.