⚙️ AI Tools & Utilities AI Skills

Remove signs of AI-generated writing from text. Use when editing or reviewing text to make it sound more natural and human-written. Based on Wikipedia's comprehensive "Signs of AI writing" guide. Detects and fixes patterns including: inflated symbolism, promotional language, superficial -ing analyses, vague attributions, em dash overuse, rule of three, AI vocabulary words, negative parallelisms, and excessive conjunctive phrases.

Humanize AI-generated text to bypass detection. This humanizer rewrites ChatGPT, Claude, and GPT content to sound natural and pass AI detectors like GPTZero,...

Collaborative thinking partner for exploring complex problems through questioning

Humanize AI-generated text by detecting and removing patterns typical of LLM output. Rewrites text to sound natural, specific, and human. Uses 24 pattern detectors, 500+ AI vocabulary terms across 3 tiers, and statistical analysis (burstiness, type-token ratio, readability) for comprehensive detection. Use when asked to humanize text, de-AI writing, make content sound more natural/human, review writing for AI patterns, score text for AI detection, or improve AI-generated drafts. Covers content, language, style, communication, and filler categories.

根据用户的功能需求，完成与 VeADK 相关的功能。

Use this skill to query your Google NotebookLM notebooks directly from Claude Code for source-grounded, citation-backed answers from Gemini. Browser automation, library management, persistent auth. Drastically reduced hallucinations through document-only responses.

You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.

去除文本中的 AI 生成痕迹。适用于编辑或审阅文本，使其听起来更自然、更像人类书写。 基于维基百科的"AI 写作特征"综合指南。检测并修复以下模式：夸大的象征意义、 宣传性语言、以 -ing 结尾的肤浅分析、模糊的归因、破折号过度使用、三段式法则、 AI 词汇、否定式排比、过多的连接性短语。

Psychological profiling through natural conversation using narrative identity research (McAdams), self-defining memory elicitation (Singer), and Motivational Interviewing (OARS framework). Use when you need to: (1) understand someone's core values and motivations, (2) discover formative memories and life-defining experiences, (3) detect emotional schemas and belief patterns, (4) build psychological profiles through gradual disclosure, (5) conduct user interviews that reveal deep insights, (6) design conversational flows for personal discovery, (7) identify identity themes like redemption and contamination narratives, (8) elicit authentic self-disclosure without interrogation.

Extract text from images using the Tesseract OCR engine directly via command line. Supports multiple languages including Chinese, English, and more. Use this...

Imagine the project already failed, then work backward to find why. More powerful than risk assessment because it assumes failure is certain. Use when user says "pre-mortem", "premortem", "imagine this failed", "what could go wrong", "risk analysis", "before we launch", "stress test", "what would kill this", "project risks".

A conversational creative thought partner that reveals hidden brilliance in your ideas through critical observations and paradox hunting. Use when someone wants to explore ideas, discover breakthrough insights, crystallize unnamed concepts, or develop original frameworks for writing, content creation, product development, or any creative endeavor.

Extract text and layout from images and PDFs using LLMWhisperer API. Good for handwriting and complex forms.

Apply Critical Fallibilism to make decisions by binary testing ideas for decisive flaws, managing complexity, embracing criticism, and avoiding overreach.

Generate contextual follow-up suggestions after AI responses. Shows 3 clickable buttons (Quick, Deep Dive, Related) when user types "/followups".

Remove AI-generated jargon and restore human voice to text

本地知识库集成 - 文档检索、投喂、双轨模式切换

This skill should be used when the user asks to "compress context", "summarize conversation history", "implement compaction", "reduce token usage", or mentions context compression, structured summarization, tokens-per-task optimization, or long-running agent sessions exceeding context limits.

Complex ideas need iteration, not conversation. Think → Do → Review → Repeat. CellCog completes the full loop — brainstorming, reasoning, problem-solving, strategic thinking, then executing across every modality: research, documents, visuals, data, prototypes. Like having an Alfred who doesn't just advise — he builds.

Find what actually matters in your content — the ideas that survive any rephrasing.

Monitors session context and automatically manages model switching based on a cascading protocol. Use as part of a heartbeat or cron job to maintain session health and optimize token usage.

Generate novel ideas calibrated to user taste. Auto-learns preferred styles, risk levels, and creative directions through feedback.

基于 AI 自动分析文档内容，智能规划并生成多风格高清 PPT 图片，支持可选转场视频和交互式播放体验。

Use this skill to query your Google NotebookLM notebooks directly from Claude Code for source-grounded, citation-backed answers from Gemini. Browser automati...