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找到 923 个相关结果 / 搜索与检索
研究学习 / 检索整理
research-refine
research-refine
Turn a vague research direction into a problem-anchored, elegant, frontier-aware, implementation-oriented method plan via iterative GPT-5.4 review. Use when…
研究学习 / 检索整理
design-tokens
design-tokens
Generate type scales, color palettes, spacing systems, WCAG contrast checks, and dark mode derivations with math. Use when setting up a design system, creating…
研究学习 / 检索整理
researching-ai-news
researching-ai-news
Research and compile the latest AI news from across the industry. Use this skill when asked to find AI news, get AI updates, research what's happening in AI,…
研究学习 / 检索整理
idea-tournament
idea-tournament
Guides competitive idea generation and ranking using tree-structured search (up to N_I=21 candidates across technique/domain/formulation axes) and Elo…
研究学习 / 检索整理
deep-research
deep-research
Async deep research via Gemini Interactions API (no Gemini CLI dependency). RAG-ground queries on local files (--context), preview costs (--dry-run),…
研究学习 / 检索整理
auto-paper-improvement-loop
auto-paper-improvement-loop
Autonomously improve a generated paper via GPT-5.4 xhigh review → implement fixes → recompile, for 2 rounds. Use when user says \"改论文\", \"improve paper\",…
研究学习 / 检索整理
semanticscholar-skill
semanticscholar-skill
Use when searching academic papers, looking up citations, finding authors, or getting paper recommendations using the Semantic Scholar API. Triggers on queries…
研究学习 / 检索整理
experiment-plan
experiment-plan
Turn a refined research proposal or method idea into a detailed, claim-driven experiment roadmap. Use after `research-refine`, or when the user asks for a…
研究学习 / 检索整理
arxiv-viewer
arxiv-viewer
View, search, and download academic papers from arXiv. Supports API queries, web scraping via Actionbook, and HTML paper reading via ar5iv. Use when user asks…
研究学习 / 检索整理
autoresearch
autoresearch
Autonomous iterative research loop. Takes a topic, runs web searches, fetches sources, synthesizes findings, and files everything into the wiki as structured pages. Based on Karpathy's autoresearch pattern: program.md configures objectives and constraints, the loop runs until depth is reached, output goes directly into the knowledge base. Triggers on: "/autoresearch", "autoresearch", "research [topic]", "deep dive into [topic]", "investigate [topic]", "find everything about [topic]", "research and file", "go research", "build a wiki on".
研究学习 / 检索整理
lit-review-assistant
lit-review-assistant
Search, summarize, and synthesize economics literature
研究学习 / 检索整理
arxiv
arxiv
Search, download, and summarize academic papers from arXiv. Use when user says "search arxiv", "download paper", "fetch arxiv", "arxiv search", "get paper…
研究学习 / 检索整理
notion-meeting-intelligence
notion-meeting-intelligence
Prepares meeting materials by gathering context from Notion, enriching with Claude research, and creating both an internal pre-read and external agenda saved…
研究学习 / 检索整理
paper-plan
paper-plan
Generate a structured paper outline from review conclusions and experiment results. Use when user says \"写大纲\", \"paper outline\", \"plan the paper\",…
研究学习 / 检索整理
baidu-drive
baidu-drive
百度网盘(Baidu Drive)文件管理 — 上传、下载、转存、分享、搜索、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)。
研究学习 / 检索整理
temu-competitor-search
temu-competitor-search
Temu 竞品与卷王价查询工具。当用户需要在 Temu 平台查找竞品、获取最低价格(卷王价)、分析竞争格局时使用此 skill。输入产品关键词,输出竞品列表、最低价、核心卖点摘要,为核价计算提供卷王价数据。
研究学习 / 检索整理
job-application-optimizer
job-application-optimizer
Strategic job application planning and Resume SEO optimization. Approaches applications like marketing campaigns with market research, opportunity…
研究学习 / 检索整理
file-manager
file-manager
Find, organize, and manage files on the user's computer. Search by name, type, size, or date. Move, rename, compress, and clean up files.
研究学习 / 检索整理
postgres-hybrid-text-search
postgres-hybrid-text-search
Use this skill to implement hybrid search combining BM25 keyword search with semantic vector search using Reciprocal Rank Fusion (RRF). **Trigger when user asks to:** - Combine keyword and semantic search - Implement hybrid search or multi-modal retrieval - Use BM25/pg_textsearch with pgvector together - Implement RRF (Reciprocal Rank Fusion) for search - Build search that handles both exact terms and meaning **Keywords:** hybrid search, BM25, pg_textsearch, RRF, reciprocal rank fusion, keyword search, full-text search, reranking, cross-encoder Covers: pg_textsearch BM25 index setup, parallel query patterns, client-side RRF fusion (Python/TypeScript), weighting strategies, and optional ML reranking.
研究学习 / 检索整理
amazon-negative-keywords
amazon-negative-keywords
Optimize Amazon PPC campaigns by identifying and managing negative keywords. Reduce wasted ad spend by eliminating irrelevant search terms while protecting…