ai-prompt-engineering
SolidUse when writing, refining, or structuring prompts for AI-powered app features — system prompts, user prompt templates, few-shot examples, chain-of-thought, prompt versioning, and defensive prompting
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Quality Score: 85/100
Skill Content
Details
- Author
- peterbamuhigire
- Repository
- peterbamuhigire/chwezi-dev-engine
- Created
- 7 months ago
- Last Updated
- 3 days ago
- Language
- HTML
- License
- MIT
Integrates with
Similar Skills
Semantically similar based on skill content — not just same category
prompt-engineer
Use when creating, rewriting, or reviewing prompts for AI agents, copilots, reusable workflows, RFC/review prompts, or ambiguous tasks that need stronger context, constraints, success criteria, and output structure.
prompt-engineering
Prompt engineering workflow for designing, rewriting, debugging, evaluating, and optimizing LLM prompts, system prompts, developer prompts, few-shot examples, structured-output instructions, tool-use prompts, and prompt eval cases. Use when prompt behavior, reliability, safety, cost, latency, or model fit is the main task. Do not use for generic prose editing, model selection alone, or ordinary documentation work with no prompt artifact.
prompt-engineering
Use when writing or improving prompts for a language model. Covers instruction structure, examples, reasoning elicitation, output formatting, and systematically diagnosing why a prompt fails.