ichendev/prompt-optimizer

Clarify, audit, and rewrite rough or existing prompts for Claude Fable 5 using Anthropic's official prompting guidance. Use when a user asks to optimize, improve, migrate, debug, or design a prompt for Claude Fable 5, including requests phrased as Fable or Fabel prompt optimization, Fable/Fabel 提示词优化, or when an underspecified idea needs guided clarification before a copy-ready prompt. Ask only for missing information that would materially change the result; otherwise preserve intent and produce a lean, context-rich prompt with explicit outcomes, boundaries, evidence, output requirements, and completion criteria.

Clarify, audit, and rewrite rough or existing prompts for Claude Opus 5 using Anthropic's official prompting guidance. Use when a user asks to optimize, improve, migrate, debug, or design a prompt, system prompt, or agent harness for Claude Opus 5 (claude-opus-5), including requests phrased as Opus 5 prompt optimization, Opus 5 提示词优化, or migrating a Claude Opus 4.8 prompt. Also use when tuning observed Opus 5 behavior such as long responses, heavy progress narration, long written deliverables, scope expansion, eager subagent delegation, correction narration, over-verification, conservative code review, or thinking-disabled output artifacts. Ask only for missing information that would materially change the result; otherwise preserve intent and return a lean, copy-ready prompt.

Clarify, audit, and rewrite rough or existing prompts specifically for DeepSeek-V4 Pro and Flash using the DeepSeek-AI V4 technical report as the model-specific evidence base. Use when a user asks to optimize, improve, rewrite, debug, migrate, or design a DeepSeek-V4 prompt, including requests phrased as DeepSeek 提示词优化 or DeepSeek-V4 提示词优化, or when an underspecified V4 prompt needs guided clarification before a copy-ready rewrite. Ask only for missing information that would materially change the result; otherwise preserve intent and produce an explicit, evidence-bounded prompt while keeping reasoning mode, special tokens, and tool protocol configuration outside ordinary prompt prose.

Clarify, audit, and rewrite rough or existing prompts for the Gemini model family using Google AI's official prompt design strategies. Use when a user asks to optimize, improve, rewrite, debug, migrate, or design a Gemini prompt, including requests phrased as Gemini 提示词优化, or when an underspecified Gemini prompt needs guided clarification before a copy-ready rewrite. Ask only for missing information that would materially change the result; otherwise preserve intent and produce a direct, consistently structured prompt with clear input boundaries, output requirements, grounding rules, multimodal references, and completion criteria where relevant.

Clarify, audit, and rewrite rough or existing prompts for the GLM language-model family using Zhipu AI's official prompt-engineering guidance. Use when a user asks to optimize, improve, rewrite, debug, migrate, or design a GLM prompt, including requests phrased as GLM 提示词优化 or 智谱提示词优化, or when an underspecified GLM prompt needs guided clarification before a copy-ready rewrite. Ask only for missing information that would materially change the result; otherwise preserve intent and produce a clear prompt with appropriate system behavior, input boundaries, grounding, structured-output rules, and completion criteria.

Clarify, audit, and rewrite rough or existing prompts for GPT-5.6 Sol and the GPT-5.6 family using OpenAI's official prompting guidance. Use when a user asks to optimize, improve, rewrite, debug, migrate, or design a GPT-5.6 prompt, including requests phrased as GPT-5.6 提示词优化, or when an underspecified prompt needs guided clarification before a copy-ready rewrite. Ask only for missing information that would materially change the result; otherwise preserve intent and produce a lean, outcome-first prompt with explicit constraints, output requirements, and completion criteria.

Clarify, audit, and rewrite rough or existing prompts for the Kimi model family using Moonshot AI's official prompt best practices. Use when a user asks to optimize, improve, rewrite, debug, migrate, or design a Kimi prompt, including requests phrased as Kimi 提示词优化, or when an underspecified Kimi prompt needs guided clarification before a copy-ready rewrite. Ask only for missing information that would materially change the result; otherwise preserve intent and produce a clear prompt with explicit context, input boundaries, output requirements, reference-grounding rules, and completion criteria.