Results for “perplexity”

Optimize for AI recommendations so ChatGPT, Claude, and Perplexity suggest your brand first.

Clarify requirements before implementing by asking targeted questions when a request has multiple plausible interpretations or key details are unclear.

Dizziness Red Flag Screener

当观察到或经历某种极端转化现象，或试图主动促成根本性观念转变时

Improve unclear UX copy, error messages, microcopy, labels, and instructions to make interfaces easier to understand. Use when the user mentions confusing text, unclear labels, bad error messages, hard-to-follow instructions, or wanting better UX writing.

当面对新任务或目标，因过度思考“如何开始”或“需要多久”而陷入拖延、焦虑，迟迟无法行动时

Improve unclear UX copy, error messages, microcopy, labels, and instructions to make interfaces easier to understand. Use when the user mentions confusing text, unclear labels, bad error messages, hard-to-follow instructions, or wanting better UX writing.

Pauses mid-conversation to reassess direction, assumptions, and bias, then recommends whether to continue, pivot, or pause.

Restructure any response for an ADHD brain — TL;DR first, ELI16 clarity, short punchy steps, one clear next action, zero walls of text. Use this skill whenever the user says "elihadhd", "adhd mode", "tldr", "eli16", "eli5", "too long", "overwhelmed", "shorter", "just tell me what to do", "break this down", "snap it", "gauntlet", or shows signs of overwhelm (e.g. "wait what", "I'm lost", "too much"). Also use it when the user asks for the simple version, the quick version, or the punchy version of anything — explanations, plans, debugging help, docs, decisions. When in doubt about whether a response is too heavy, use this skill.

Explain any concept in plain words with one concrete analogy - clear enough for a smart child or a busy outsider, never condescending, never wrong.

Analyzing session replays, extracting persona-based behavioral patterns, and storytelling UX issues. Reads the 'why' from real user operation logs. Works with Field/Echo for persona validation.

Clarifies ambiguous or conflicting requests by researching first, then asking only judgment calls. Use when prompts say "grill me", ask hard questions, request relentless interrogation, pressure-test assumptions, clarify scope/requirements, define success criteria, or request system-design/optimization decisions.

BPPV Differential Diagnosis Checker

Approach an app, tool, codebase, website, or product as a genuine first-time user with zero insider context — try it out using only the information provided, get confused where a real newcomer would, and surface the "obvious" questions that people who built or use the thing daily can no longer see. Use this whenever the user wants a first-time-user test, a fresh perspective, a naive walkthrough, a cold read of their README/onboarding/docs/UI, or says things like "pretend you've never seen this", "would a new user get this?", "test my app like a beginner", "what would confuse someone new?", or "give me fresh eyes on this". Also use it when someone wants to find gaps in onboarding, docs, or first-run experience — even if they don't say "fresh eyes" explicitly.

Socratic deep interview with mathematical ambiguity gating before explicit execution approval

Analyzes code to separate essential complexity from incidental noise, then produces a ranked refactoring plan with a structural sketch and TRACE assessment, without making edits.

Refactor given method `${input:methodName}` to reduce its cognitive complexity to `${input:complexityThreshold}` or below, by extracting helper methods.

Busca de precedente civel para fundamentar peca, recurso ou parecer: primeiro no corpus mapeado em context/jurisprudencia-civel.md (organizado por tema com selo de verificacao), e so se faltar busca ao vivo (WebSearch/WebFetch nativo; Firecrawl/Perplexity fallback) exigindo link de fonte real (STJ/STF/CJF/tribunal). Zero acordao inventado. Use quando precisar de sumula, tema repetitivo, enunciado de Jornada, acordao ou tese civel, ou quando o operador disser tem jurisprudencia sobre X, qual a sumula/tema sobre Y, precedente para a tese, acha um acordao do STJ sobre, fundamenta com jurisprudencia.

Detect and humanize AI-generated Chinese text. 20+ rule detection categories plus statistical features (sentence-length CV, short-sentence fraction, comma density, perplexity, GLTR, DivEye) plus scene-aware LR fusion (rule × 0.2 + LR × 0.8) trained on three scenes: general / academic / longform 长文本 (≥1500 字)。Unified CLI: ./humanize {detect,rewrite,academic,style,compare}. 8 style transforms (casual/zhihu/xiaohongshu/wechat/academic/literary/weibo/novel)。 Multi-paragraph rewriting (paragraph length CV、跨段 trigram 重复) plus best-of-N humanize (默认 N=10 取最低 LR)。165 replacement patterns + CiLin 同义词词林 38873 with collision blacklist。 Academic paper AIGC reduction for CNKI/VIP/Wanfang (知网/维普/万方 AIGC 检测降重)。 Pure Python, no dependencies, offline。v5.0.0 — HC3 fused 准确率 95%、学术 hero 100→35 (-65)、 工作汇报 96→13 (-83)、长篇博客 96→41 (-55)。 Use when user says: "去AI味", "降AIGC", "人性化文本", "humanize chinese", "AI检测", "AIGC降重", "去除AI痕迹", "文本改写", "论文降重", "知网检测", "维普检测", "AI写作检测", "让文字更自然", "detect AI text", "humanize text", "reduce AIGC sc