AI Discovery and LLM search optimization expert. PROACTIVELY use when optimizing for Perplexity, ChatGPT Search, Gemini, Claude, AI crawlers. Triggers: AI search, Perplexity, ChatGPT, AI discovery, LLM citation
Plan, orchestrate, and validate deep research for nonfiction books. Use when an author has completed book architecture and needs to fill research gaps before outlining chapters. Triggers include requests to plan research, generate research prompts, validate research quality, or prepare for drafting. This skill does everything around deep research—planning, prompting, validating, synthesizing—but the actual research execution happens externally via Claude and Gemini deep research. Requires upstream documents from book-architect (Research Gaps Document, Master Architecture Document, Section Blueprints) and book-ideation (Book Concept Document).
Researches topics in-depth and generates comprehensive summaries and references. Use when trying to deeply understand a topic or use a new framework.
Retrieve universal coding patterns from vector database. Use when starting complex tasks, encountering unfamiliar problems, or user says "--coder-recall" or "--recall" (you decide which scope, may use both). Skip for routine tasks or project-specific questions (use project-memory-recall). This Skill auto-invokes based on task context.
Implement AI/ML research papers from scratch when no official code exists. Use when the user wants to reproduce a paper, implement an algorithm from a PDF, build a model architecture from a research paper, or create working code from academic publications. Handles papers from arXiv, NeurIPS, ICML, ICLR, CVPR, and other venues. Produces UV-managed, GPU-ready Python projects with tests, demos, and documentation.
Physics simulation for particle systems—forces (gravity, wind, drag), attractors/repulsors, velocity fields, turbulence, and collision. Use when particles need realistic or artistic motion, swarm behavior, or field-based animation.
Research topics using web search and content fetching to find accurate, current information. Use when you need modern information, official documentation, best practices, technical solutions, or comparisons beyond your training data. Provides systematic web research with strategic searches, content analysis, and synthesized findings.
Strategic web research using WebSearch and WebFetch - finds accurate, relevant information with multiple search angles, prioritizes authoritative sources, synthesizes findings with proper attribution.
Surface ebook ideas you didn't know you had. Use when ready to discover what ebooks might be hiding in your content, expertise, or thinking. Supports both content-rich creators (blog posts, videos, newsletters) and those with unpublished expertise. Produces a curated list of ebook candidates ready for Concept Development. Handles multi-session discovery with living documents.
This skill should be used when the user asks to "搜索文献", "查找学术资料", "搜索最新研究", "literature search", "find papers", "search academic literature", "latest research", or mentions specific academic domains like AI, machine learning, computer science research. Provides comprehensive academic literature search and analysis capabilities for WeChat content creation.
論文草稿的撰寫、讀取、引用管理。 LOAD THIS SKILL WHEN: 寫草稿、draft、撰寫、Introduction、Methods、Results、Discussion、引用、citation、字數 CAPABILITIES: write_draft, draft_section, read_draft, list_drafts, insert_citation, sync_references, count_words, get_section_template
Formulate research questions using FINER criteria (Feasible, Interesting, Novel, Ethical, Relevant). Use when: (1) Starting new research projects, (2) Refining study scope, (3) Grant proposal development, (4) Ensuring research question quality.
Query articles using category filters and BM25 keyword search
Systematic analysis framework for articles, papers, and long-form content using 5 proven thinking models (McKinsey Communication Framework, Comprehensive Task Checklist, Critical Thinking, Inversion Thinking, Systems Thinking).
論文草稿的撰寫、讀取、引用管理。 LOAD THIS SKILL WHEN: 寫草稿、draft、撰寫、Introduction、Methods、Results、Discussion、引用、citation、字數 CAPABILITIES: write_draft, draft_section, read_draft, list_drafts, insert_citation, sync_references, count_words, get_section_template
Provides fast, case-insensitive text search across task titles, descriptions, and tags with debounced input, relevance ranking, and highlighted matching text. Uses AND logic for multi-token queries and limits results to top 50 for performance.
Design document review format with 100-point scoring system for SOW/Spec. Triggers: SOW review, Spec review, document scoring, 設計書レビュー, 品質スコア.
系統性文獻搜尋、篩選、下載、整理。觸發：文獻回顧、找論文、搜尋文獻、systematic review、literature search、PubMed、找文章、搜paper、review、reference、citation、引用、參考文獻、背景調查、background。
Search the Met Museum Open Access Paintings collection using semantic search, find similar artworks, and search by image. Use this when users ask about art, paintings, museum collections, or want to find artworks by description, visual similarity, or artist.
Identify research gaps from systematic literature reviews. Use when: (1) Completing literature reviews, (2) Justifying new studies, (3) Grant proposal development, (4) Dissertation planning, (5) Identifying future research directions.
Comprehensive arXiv paper search and retrieval tool with keyword search, category filtering, date range filtering, and daily paper fetching capabilities for academic research tracking without keywords
