By acaprino
Intelligent prompt optimization -- enriches vague prompts with research-based clarifying questions before Claude Code executes them
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npx claudepluginhub acaprino/claude-code-daodan --plugin prompt-improverMulti-agent code review orchestration with architecture, security, pattern analysis, and best practices across 5 phases
Rewrites source code to be more readable and human-friendly without changing behavior - improves naming, removes AI boilerplate, simplifies structure, and adds clarity comments
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Expert Firefox extension (WebExtension) developer covering Manifest V2/V3, all 51 browser.* APIs, content scripts, background scripts, native messaging, cross-browser compatibility, AMO publishing, web-ext CLI tooling, project scaffolding, and live MDN documentation lookup
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+ask +deep +web <- modifiers | optimize your prompts
Intelligent prompt optimization: injects the right context at the right moment so Claude lands a better first output. Clarifies vague prompts with research-based questions, plus targeted nudges for approach selection, plan readability, workflow routing, background execution, subagent routing, output readability, user-decision questions, and plan-mode assessment
Meta-cognition: refine input through brainstorming, refine output through challenge and condensed communication mode.
Tools for crafting, reviewing, analyzing, refining, and optimizing LLM prompts for clarity, precision, goal effectiveness, and token efficiency
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