prompt-architect
SolidAnalyzes and improves prompts using 27 research-backed frameworks across 7 intent categories. Use when a user wants to improve, rewrite, structure, or engineer a prompt — including requests like "help me write a better prompt", "improve this prompt", "what framework should I use", "make this prompt more effective", or any prompt engineering task. Recommends the right framework based on intent (create, transform, reason, critique, recover, clarify, agentic), asks targeted questions, and delivers a structured, high-quality result.
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Quality Score: 92/100
Skill Content
Details
- Author
- ckelsoe
- Repository
- ckelsoe/prompt-architect
- Created
- 6 months ago
- Last Updated
- 1 weeks ago
- Language
- Python
- License
- MIT
Integrates with
Similar Skills
Semantically similar based on skill content — not just same category
prompt-architect
Comprehensive framework for analyzing, creating, and refining prompts for AI systems. Use when creating prompts for Claude, ChatGPT, or other language models, improving existing prompts, or applying evidence-based prompt engineering techniques. Applies structural optimization, self-consistency patterns, and anti-pattern detection to transform prompts into highly effective versions.
prompt-optimizer
Optimize and rewrite prompts using 61 frameworks (APE, RACE, CRISPE, Chain-of-Thought, etc.). Trigger on "optimize prompt", "improve this prompt", "make this prompt better", "rewrite for AI", or any vague/short instruction the user wants turned into a high-quality prompt.
when-optimizing-prompts-use-prompt-architect
Comprehensive framework for analyzing, creating, and refining prompts for AI systems using evidence-based techniques