paper-reading
Use when user asks to read, summarize, or analyze a research paper (PDF or text). Triggers on keywords like "read paper", "summarize paper", "paper summary", "literature review", "analyze this paper"
Use when user asks to read, summarize, or analyze a research paper (PDF or text). Triggers on keywords like "read paper", "summarize paper", "paper summary", "literature review", "analyze this paper"
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.
Narrative framing, media analysis, discourse analysis, influence assessment, information warfare detection for Swedish political intelligence
OSINT collection, source evaluation, data integration, verification techniques for Swedish political intelligence
Voting pattern analysis, committee effectiveness, bill tracking, parliamentary oversight for Swedish intelligence operations
Score and filter topics for X content creation using weighted criteria. Use when user wants to evaluate collected materials, filter topics by score, or mentions "filter topics", "score materials", "x-filter", "选题筛选". Applies 10-point scoring system with customizable weights.
Collect and research materials for X (Twitter) content creation using multi-round web search strategy. Use when user wants to gather trending topics, research subjects for X posts, or mentions "collect materials", "research topic", "find content for X", "x-collect". Performs 4-round deep research mimicking human research workflow.
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。
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。
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。
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。
Fetch and summarize review comments from the active pull request
Use when the user wants a recent literature sweep for Awesome-Virtual-Cell, especially for latest papers, Nature-family journals, major labs, big groups, or a time-bounded update of what the README is missing.
Use when the user wants to judge whether a paper, dataset, benchmark, blog, or related resource belongs in Awesome-Virtual-Cell, whether an existing README entry should be updated, where an item should be placed, or how it should be written in house style.
Expert debugging guide for AI Counsel's convergence detection system. Use when deliberations aren't converging as expected, early stopping fails, semantic similarity seems wrong, or voting vs semantic status conflicts occur.
Systematic writing framework for philosophy and interdisciplinary academic papers from optimized outline to submission-ready manuscript. Use when users want to: (1) write a paper from a detailed outline, (2) ensure quality control during writing, (3) maintain consistency across chapters, (4) prepare a submission-ready manuscript, or (5) systematically execute a planned paper. Triggered by phrases like 'write the paper from this outline,' 'compose the full manuscript,' 'execute the outline,' or when users have completed strategic planning (academic-paper-strategist skill) and are ready to write. Takes optimized outline as input; outputs complete manuscript with iterative quality checks.
Create an executive summary of any document at the appropriate level of detail. Triggers on "summarize this", "main points", "give me the gist".
Deep research on a topic with web sources, memory integration, and stored findings. Also handles quick context-aware lookups when current information would improve the conversation. Triggers on "research this", "look into", "find out about", "dig into", "look up", "what's new with", "check current", "any updates on", "latest info".
Show everything Claudia knows with provenance tracing and entity counts. Triggers on "what do you know?", "show memories", "memory audit", "what do you remember about".
Search the web privately via a self-hosted SearXNG metasearch engine.
学术论文调研技能,用于搜索、筛选和分析学术论文。支持 arXiv、Google Scholar、Semantic Scholar 等学术数据库,提供论文检索、引用分析、研究趋势追踪、文献综述生成等功能。触发条件:用户提及"论文"、"学术研究"、"文献综述"、"arXiv"、"研究趋势"、"学术搜索"等关键词。
Address PR review feedback systematically — fetch inline comments, review bodies, handle outside-diff-range comments, resolve threads with proper attribution
Multi-perspective deliberation on a question. Use when the user says "get perspectives on", "multiple viewpoints", "council on this", "devil's advocate", "stress test this idea", "red team this", "poke holes in", "second opinion on", "what am I missing", or wants multi-perspective analysis of a decision, design, or strategy.