🤖 AI Engineering · Prompt Engineering
Architect a maintainable system prompt
Organize identity, rules, tools, and output contracts into sections that evolve without breaking behavior.
foundation~30 minAI EngineersML EngineersLLM App Developers
Steps
- 1Section order: identity, capabilities, hard rules, task guidance, output format, examples
- 2State hard rules as short imperatives; explain rationale only when it changes behavior
- 3Put the output contract last and show one canonical example
- 4Version the prompt like code; change one concern per revision
- 5Keep a regression set of 15 prompts run after every edit
- 6Delete anything that survived three revisions without effect
Common Pitfalls
- ▲Conflicting rules buried mid-prompt that silently override each other
- ▲Examples contradicting the stated format
Success Signals
- ✓Regression pass rate 100% on releases
- ✓Prompt length trending down
Commands
Install with skills CLI
$ npx skills add aniruddhaadak80/skills --skill prompt-engineering-system-prompt-archInstall globally
$ npx skills add aniruddhaadak80/skills --skill prompt-engineering-system-prompt-arch -gTags
#prompts#llm#ai-engineering#prompt-engineering