prompt-architect
FeaturedAnalyzes and improves prompts using 31 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: 89/100
Skill Content
Details
- Author
- ckelsoe
- Repository
- ckelsoe/prompt-architect
- Created
- 9 months ago
- Last Updated
- 1 months ago
- Language
- JavaScript
- License
- MIT
Integrates with
Bundled in these plugins
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prompt-optimizer
Optimize and rewrite prompts using 61 frameworks (APE, RACE, CRISPE, Chain-of-Thought, COAST, SMART, etc.). Trigger on "optimize prompt", "improve this prompt", "make this prompt better", "rewrite for AI", "优化提示词", "改写 prompt", "优化指令", "��提示词更好", "帮我把这个写成 prompt" or any vague/short instruction the user wants turned into a high-quality prompt — even if the user only says "make this clearer" or "help me write this". Also trigger whenever the user pastes raw text and asks for a structured AI-ready version, or expresses dissatisfaction with AI output quality without naming a fix. Always use this skill when the user inputs vague instructions, needs prompt optimization, or is dissatisfied with AI output quality.
prompt-architect
Iterative guardrail and assistant for writing effective prompts that produce consistent, high-quality AI outputs. Use when the user says things like "my prompt isn't working," "help me write a better prompt," "improve this prompt," "make this clearer," "this AI keeps giving me the wrong output," "how do I stop this from hallucinating," or pastes a raw prompt and wants feedback. Runs an analyse → improve → score loop until the prompt passes a readiness check, applies structured techniques — system prompt design, XML tags, few-shot examples, output constraints, and hallucination-grounding techniques — and flags when an output needs human review regardless of prompt quality. Do NOT use for single-file code edits, model evaluation questions, or AI news — those go to other skills.
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.