prompt-optimizer-plugins
prompt-optimizer-plugins contient 3 skills collectées depuis IchenDEV, avec une couverture métier par dépôt et des pages de détail sur le site.
Skills dans ce dépôt
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 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 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.