全部 Agent Skills
41,263 个结果
- Rnreposoftware-mansion-labsBest practices for integrating and using RNRepo — Software Mansion's infrastructure for pre-built React Native library artifacts that reduces native build times by up to 2×. Use when setting up, configuring, or troubleshooting RNRepo in a React Native or Expo project.
- TavilyintellectronicaUse this skill for web search, extraction, mapping, crawling, and research via Tavily’s REST API when web searches are needed and no built-in tool is available, or when Tavily’s LLM-friendly format is beneficial.
- Todoist APIintellectronicaThis skill provides instructions for interacting with Todoist using the td CLI tool. It covers CRUD operations for tasks/projects/sections/labels/comments, and requires confirmation before destructive actions. Use this skill when the user wants to read, create, update, or delete Todoist data.
- Typegpusoftware-mansion-labsTypeGPU is type-safe WebGPU in TypeScript. Use whenever the user writes, debugs, or designs TypeGPU code: 'use gpu' shader functions, tgpu.fn, buffers, textures, bind groups, compute and render pipelines, command encoders, render passes, render bundles, vertex layouts, slots, accessors, @typegpu/react hooks (useRoot, useFrame, useUniform), React Native worklet rendering, and any TypeGPU API.
- UltrathinkintellectronicaDisplay colorful ANSI art of the word "ultrathink". Use when the user says "ultrathink" or invokes /ultrathink.
- Upstash Redis KvintellectronicaRead and write to Upstash Redis-compatible key-value store via REST API. Use when there is a need to save or retrieve key-value data, use Redis features (caching, counters, lists, sets, hashes, sorted sets, etc.) for the current interaction, or when the user explicitly asks to use Upstash or Redis.
- Youtube TranscriptintellectronicaExtract transcripts from YouTube videos. Use when the user asks for a transcript, subtitles, or captions of a YouTube video and provides a YouTube URL (youtube.com/watch?v=, youtu.be/, or similar). Supports output with or without timestamps.
- Ab Testing Analyzerliangdabiao全面的AB测试分析工具，支持实验设计、统计检验、用户分群分析和可视化报告生成。用于分析产品改版、营销活动、功能优化等AB测试结果，提供统计显著性检验和深度洞察。
- Baidu Drivebaidu-netdisk百度网盘(Baidu Drive)文件管理与正文能力 — 上传、下载、转存、分享、搜索文件、搜索正文片段、读取文件全文、移动、复制、重命名、创建文件夹。 同时支持 Agent 记忆备份/恢复（kimiclaw/maxclaw/qclaw/openclaw）。 TRIGGER: 用户提及"百度网盘/bdpan/网盘/云盘/baidu drive/Baidu Drive"并涉及文件操作； 或用户提及"备份记忆"、"恢复记忆"、"查看记忆备份"等记忆相关操作。 DO NOT TRIGGER: 非文件存储操作，或使用其他云盘服务时；本地记忆整理/清理操作；PPT 生成操作（已独立为 baidu-wenku-aippt skill）。
- Committeam-attention코드 수정 완료 후 conventional commit 형식의 커밋 메시지를 자동 생성하고 사용자 확인 후 커밋합니다. 사용자가 커밋해줘 또는 /commit 요청 시 사용.
- Content AnalysisliangdabiaoAnalyze text content using both traditional NLP and LLM-enhanced methods. Extract sentiment, topics, keywords, and insights from various content types including social media posts, articles, reviews, and video content. Use when working with text analysis, sentiment detection, topic modeling, or content optimization.
- Data Exploration Visualizationliangdabiao自动化数据探索和可视化工具，提供从数据加载到专业报告生成的完整EDA解决方案。支持多种图表类型、智能数据诊断、建模评估和HTML报告生成。适用于医疗、金融、电商等领域的数据分析项目。
- Eval Summaryteam-attentionreadings.ts의 요약 필드가 원본 kr 마크다운과 비교하여 잘 작성되었는지 평가합니다. 이슈별로 개선사항을 제안하고 사용자 컨펌 후 readings.ts를 수정합니다. 사용: /eval-summary week1 또는 /eval-summary week1/slug
- Ltv PredictorliangdabiaoåºäºRFM模åååå½ç®æ³ç客æ·çå½å¨æä»·å¼(LTV)é¢æµåæå·¥å ·ï¼æ¯æçµååé¶å®ä¸å¡ç客æ·ä»·å¼é¢æµã使ç¨æ¶éè¦å®¢æ·äº¤ææ°æ®ã订ååå²ææ¶è´¹è®°å½ï¼èªå¨è¿è¡RFMç¹å¾å·¥ç¨ãåå½å»ºæ¨¡åä»·å¼é¢æµã
- Mathmodel SkillhandsomeZR-netizenCUMCM 国赛、MCM/ICM 美赛与电工杯数学建模竞赛的端到端协作工作流。Use when a user explicitly works on one of these modeling contests or asks to run/review a modeling-competition paper from problem selection through modeling, solving, robustness, writing, compliance, and final submission review.
- Nanobananateam-attentionReading 원문에서 나노바나나 프로용 치트시트 프롬프트를 생성합니다. 3단계 에이전트 파이프라인(분석→구조설계→프롬프트생성)으로 콘텐츠 유형에 맞는 프롬프트 생성. 사용: /nanobanana week1/slug
- Publish Cheatsheetteam-attention나노바나나에서 생성된 치트시트 이미지를 public에 복사하고 readings.ts에 cheatsheetImage 필드를 추가합니다. 사용: /publish-cheatsheet week1/slug
- Recommender Systemliangdabiaoæºè½æ¨èç³»ç»åæå·¥å ·ï¼æä¾å¤ç§æ¨èç®æ³å®ç°ãè¯ä¼°æ¡æ¶åå¯è§ååæã使ç¨æ¶éè¦ç¨æ·è¡ä¸ºæ°æ®ãååä¿¡æ¯æè¯åæ°æ®ï¼æ¯æååè¿æ»¤ãç©éµå解çæ¨èç®æ³ï¼çæ个æ§åæ¨èç»æåè¯ä¼°æ¥åã
- Retention AnalysisliangdabiaoAnalyze user retention and churn using survival analysis, cohort analysis, and machine learning. Calculate retention rates, build survival curves, predict churn risk, and generate retention optimization strategies. Use when working with user subscription data, membership information, or when user mentions retention, churn, survival analysis, or customer lifetime value.
- Review Cheatsheetteam-attention나노바나나 치트시트 이미지를 Gemini Vision으로 분석하여 해당 kr md 파일의 내용과 일치하는지 검증합니다. 기술적/문맥적 오류, 잘못된 텍스트/그래프/그림을 찾아냅니다. 사용: /review-cheatsheet week1/slug/chapter
- Rfm Customer SegmentationliangdabiaoPerform RFM (Recency, Frequency, Monetary) customer segmentation analysis on e-commerce data. Use when you need to analyze customer value, identify VIP customers, or create marketing segments. Automatically cleans data, calculates RFM metrics, applies K-means clustering, and generates visualization reports with Chinese language support.
- Split Youtube Chaptersteam-attentionYouTube 콘텐츠의 챕터별 하위페이지 구조를 readings.ts에 생성하고, 전체 번역 파일에서 챕터별 번역 파일을 자동 생성합니다. 사용: /split-youtube-chapters week1/deep-dive-llms
- Sudocodesudocode-aiALWAYS use this skill for ALL sudocode spec and issue operations. Use when user mentions "spec", "issue", "ready", "blocked", "implement", "feature", "plan", or "feedback" with sudocode specs and issues. PROACTIVELY use at start of implementation tasks to check ready issues and understand work context.
- Upload Readingteam-attention번역된 한국어 마크다운 파일을 readings.ts에 추가하여 웹에 게시합니다. 마크다운 파싱 → ReadingContent 객체 생성 → readings.ts/syllabus.ts 업데이트. YouTube 콘텐츠의 경우 요약(tldr, chapterSummaries) 필드도 파싱. 사용: /upload-reading week1/slug 또는 /upload-reading week1/parent/child