'search run' 검색 결과

Run a persistent research workflow with a defined goal and explicit acceptance checks. It saves progress and finishes only when a recorded result passes either a validation script or an architect review of the research output.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Research with explicit acceptance criteria
• Verify research results with a script
• Require review approval before completing research

Research a defined topic within agreed limits and produce a cited report that distinguishes evidence, inference, contradictions, and gaps. Public web access requires consent, and saving findings or merging them into existing Obsidian notes receives separate review.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigate a topic within agreed limits
• Compare conflicting claims and their sources
• Create a cited research report

Choose AI tools for literature searches, PDF conversion, citation-backed questions, and review writing. The skill also installs and runs supported tools through a shared launcher, with workflows that connect paper retrieval, conversion, and analysis.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Choosing tools for a literature review
• Converting research PDFs to Markdown
• Asking citation-backed questions across PDFs

Work with the @upstash/search TypeScript/JavaScript SDK, a serverless full-text and semantic search database with built-in reranking. Use when adding search to an app or site, creating a search index, upserting documents with searchable content and filterable metadata, running keyword, semantic, or hybrid search queries, reranking results, filtering with SQL-like or structured filter syntax, paginating with range, fetching or deleting documents, resetting an index, or checking index info. Also use when the user asks for site search, product, document, or knowledge-base search, or a managed search service that needs no cluster to run.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Set up a local web search server using Bright Data SERP API and unfancy-search. Retrieve results from multiple engines, optionally expand queries with AI, and receive combined rankings with duplicates removed and results grouped by domain.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Adding web search to a Claude Code agent
• Researching a topic through multiple related queries
• Filtering searches by region or domain

Build similarity search with FAISS to find nearby matches in large collections of numeric vectors. The skill guides index selection, memory reduction, GPU use, and saving indexes while balancing search speed and accuracy.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Find similar items in large vector datasets
• Choose an index for search speed and accuracy
• Reduce memory use for vector search

Coordinate a research project from a broad topic through literature review, idea selection, experiments, and iterative review. Produce a research summary for writing, with optional paper drafting and PDF compilation, while recording stage progress for later resumption.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Taking a broad research topic through experiments and review
• Coordinating experiment implementation and result collection
• Preparing an evidence-based handoff for paper writing

Turn a vague research direction into a focused proposal and a detailed experiment roadmap. This workflow connects method refinement with validation planning, producing review records, an experiment tracker, and a summary of what to run next.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Turn a rough research idea into a focused proposal
• Plan experiments that test the paper's claims
• Organize experiment order, budget, and decision points

Turn a research question into a focused DeepAPI request and save the findings as a Markdown report with source links. For longer reports, research subquestions separately and combine their answers and sources into one file.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Research a question that informs a decision
• Save findings with citation URLs
• Combine separate subquestions into a longer report

Find related protein sequences and generate multiple sequence alignments, which line up corresponding positions across sequences. Use NVIDIA's hosted API or a local Docker service for standard searches, paired complex alignments, and local structural template searches.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Generate protein alignments in A3M or FASTA format
• Create paired alignments for protein complexes
• Search PDB70 for structural templates locally

Orchestrates end-to-end autonomous AI research projects using a two-loop architecture. The inner loop runs rapid experiment iterations with clear optimization targets. The outer loop synthesizes results, identifies patterns, and steers research direction. Routes to domain-specific skills for execution, supports continuous agent operation via Claude Code /loop and OpenClaw heartbeat, and produces research presentations and papers. Use when starting a research project, running autonomous experiments, or managing a multi-hypothesis research effort.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Find academic papers across up to 8 sources (OpenAlex / Semantic Scholar / CrossRef / PubMed / arXiv for English, OpenReview for AI venues, plus native-Chinese retrieval via NSSD 国家哲社文献中心 + yiigle 中华医学期刊) with adjustable depth — Quick scan (5 min) to Audit prep (3 hr). Use when the user wants to find papers, run a literature search, gather references, scope a research topic, search Chinese-language / 中文原生 literature (中文文献/中文核心/CSSCI/C刊/国内研究/国内文献/中华××期刊/心理学报/经济研究), or filter results by journal tier (中科院分区/一区/几区, Q1, JCR/SJR quartile, 影响因子/impact factor, 期刊分区, 顶刊/top journal, '按分区筛'), or export paste-ready professional search strategies / 检索式 for external databases (PubMed / WOS / Scopus / Embase / 知网 CNKI / 万方 / SinoMed — '写检索式', '导出检索式', 'WOS 检索式', '知网专业检索', 'search strategy', 'boolean search strategy'). Triggers on search verbs ('find papers', 'literature search', 'papers about X'), review types ('scoping review', 'systematic review', 'SR prep', 'literature review', 'lit review', 'help me write a lit review'), Chinese ('找文献', '找论文', '论文搜索', '学术检索', '文献检索', '文献综述', '综述前期', '求文献', '中文文献', '中文核心', 'CSSCI', 'C刊', '国内研究', '找中文的'). Outputs Shadcn HTML report + BibTeX/RIS/CSV + PRISMA-S log. Do NOT use for: concept explanations ('what is X' / 'X 是什么', e.g. '影响因子怎么算'), writing ('帮我写' / 'help me write a paragraph'), single-paper interpretation or PDF download with metadata (use paper-downloader-portable), or when the user already has a literature set (use literature-set-review).

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

validateSearch, search param validation with Zod/Valibot/ArkType adapters, fallback(), search middlewares (retainSearchParams, stripSearchParams), custom serialization (parseSearch, stringifySearch), search param inheritance, loaderDeps for cache keys, reading and writing search params.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Search multiple job portals for new roles matching a candidate’s profile, remove previously seen or applied listings, and present a table ordered by fit with deadlines, requirements, and LinkedIn search links for potential contacts.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Finding new jobs that match your background
• Reviewing listings without previously seen or applied jobs
• Searching within a specific field or across all categories

Run Gemini research tasks that plan searches, read sources, and combine findings into cited reports. Specify a report structure, monitor progress, and continue earlier research with follow-up questions for market, technical, historical, or comparative studies.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Research a market and its competitors
• Review technical literature
• Compare products or technologies

Save decisions, research findings, and work updates to Obsidian, then update related notes, daily entries, and task boards. Maintain existing pages, preserve changing facts with their history, and check for duplicates and broken links.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Save decisions and tasks from a conversation
• Connect development logs to project notes
• Check a vault for duplicates and broken links

Use DeepAPI to search the web, collect website and social platform data, and produce sourced research. It also routes tasks to services for public website actions, email, image generation, and persistent agent memory.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Collecting information from websites and social platforms
• Researching a question with multiple cited sources
• Navigating and interacting with public websites

Search the web, images, news, and videos through a local SearXNG instance that combines results from multiple search engines. Filter by language or time range, and retrieve formatted results or JSON for further processing.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Researching a topic across multiple search engines
• Finding images, news, or videos by category
• Filtering searches by language or time range

Run a Kubernetes workflow that changes clothing in cropped person images, searches person attributes, and builds augmented datasets. The skill handles input preparation, run monitoring, and result retrieval for person re-identification data work.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Create clothing variations from cropped person images
• Prepare augmented datasets for person re-identification
• Search person attributes and inspect generated captions

Predict protein structures by connecting MSA-Search with OpenFold3. It finds related sequences, aligns them to provide evolutionary context, and saves predicted structures with confidence scores. It also supports comparing predictions with and without that context.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Predict protein structures using related sequences
• Save alignments, structures, and confidence scores
• Compare predictions with and without alignment context

Search runtime and scene management: verify queries, inspect scenes, debug app readiness, and diagnose recall or scene-config issues.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Bulk-refresh research entries in ./research/ using parallel research-curator agents. Use when /refresh-research is invoked, stale research needs updating, or bulk re-verification of research entries is requested. Inventories entries by review date and age, runs RT-ICA pre-flight, spawns agents in waves of 5, then validates, reviews, and commits through research-curator. Supports --all, --stale, --category, --layer, and --dry-run flags.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

MUST USE when the user needs current, online, or web-derived information — news, latest releases, vendor docs, real-world examples, recent changes, or anything not in the model's training set. LLM-neutral skill that exposes a unified web search CLI behind a single command. Runs single or multi-provider in parallel, saves raw + normalized JSON to a temp directory, prints the path so callers can pipe through rg / jq / grep. Zero-config out of the box. Works identically on macOS, Linux, WSL, Git Bash for Windows, and any environment with Python 3.8+. Triggers: 'search the web', 'look up online', 'google this', 'find current information', 'latest news', 'recent docs', 'check the internet', 'web search', 'browser search', 'research this', 'what is the latest', 'who is X', 'find examples of', 'is there documentation for', 'how do people solve', 'web-search', 'web_search'.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Manage scientific datasets with DataLad and git-annex, which tracks large files separately from Git history. Retrieve selected data, record analysis commands and their inputs and outputs, rerun recorded work, and publish history alongside file content.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Retrieve only the research data you need
• Resolve files that contain pointers instead of data
• Record and rerun analysis steps