'knowledge retrieval' 검색 결과

Search personal knowledge bases, notes, docs, and meeting transcripts locally using qmd — a hybrid retrieval engine with BM25, vector search, and LLM reranking. Supports CLI and MCP integration.

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Designs retrieval-augmented generation pipelines for document-based AI assistants. Includes chunking strategies, metadata schemas, retrieval algorithms, reranking, and evaluation plans. Use when building "RAG systems", "document search", "semantic search", or "knowledge bases".

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Query and curate knowledge-base using ByteRover CLI. Use `brv query` for knowledge retrieval, `brv curate` for adding context, and `brv push/pull` for syncing.

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Retrieve facts from named scientific, regulatory, economic, and other databases through documented APIs. Get results with recorded filters, retrieval dates, and record counts so another person can repeat the lookup and assess its completeness.

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• Look up gene or compound records by identifier
• Collect clinical trials matching defined criteria
• Retrieve economic statistics with documented sources

Check stored knowledge before answering substantive questions about a person, company, project, or other named subject. The skill retrieves the relevant page when needed and follows related links only when relationship details matter to the response.

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• Checking saved notes before discussing a person
• Verifying company or project details before a decision
• Resolving an unfamiliar name in a conversation

Support stock and cryptocurrency analysis with reference formulas for price indicators, position sizing, and risk measures. The skill also covers financial data sources and Alpaca API operations, including market data retrieval, order management, and paper trading.

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• Comparing price indicators and candlestick patterns
• Calculating position sizes and loss limits
• Exploring paper trading with the Alpaca API

Review communications research by searching existing libraries and notes before academic databases. Produce a paper comparison table covering methods, results, and limitations, then summarize major approaches, evidence strength, and remaining research gaps.

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• Surveying research on wireless and satellite communications
• Finding related work from saved papers and notes
• Comparing assumptions, methods, and limitations across papers

Convert PDF, PowerPoint, Excel, and Word documents into structured Markdown for search and information extraction. Outputs include document metadata, a parsing confidence score, and the parser used, with fallback parsers available when earlier attempts fail.

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• Preparing documents for a searchable knowledge base
• Structuring contract text for information extraction
• Checking parsing confidence before manual review

Search the web for current information, review results with titles, URLs, and short excerpts, then fetch relevant pages. Retrieve page content as Markdown or HTML for reading and further work.

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• Searching for current information
• Reading the content of a specified URL
• Finding relevant pages and reading their full content

Build and review Cloudflare Durable Objects for applications that retain shared state, such as chat rooms, games, and booking systems. Covers SQLite storage, remote method calls, WebSockets, scheduled work, Workers integration, configuration, and Vitest tests.

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• Build shared state for chat rooms, games, and bookings
• Implement remote methods, SQLite storage, WebSockets, and alarms
• Configure Workers bindings and migrations

Build AI agents on Cloudflare Workers with the Agents SDK. Implement persistent state, real-time chat, scheduled tasks, multi-step background workflows, and MCP servers, using current Cloudflare documentation to guide implementation.

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• Build agents that retain and synchronize state
• Create real-time chat with resumable streaming
• Implement scheduled tasks and multi-step workflows

Develop and deploy Cloudflare Workers, manage related storage and services, and troubleshoot configuration with Wrangler. The skill checks official documentation and configuration definitions before preparing commands, with guidance for local development, environments, secrets, and logs.

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• Develop and deploy a Cloudflare Worker
• Configure KV, R2, and D1 resources
• Separate staging and production settings

Choose Cloudflare services and implement applications using guidance for compute, storage, AI, networking, and security. The skill directs the agent to relevant references and current official documentation for configuration, APIs, limits, and pricing.

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• Choose services for a Cloudflare application
• Select storage for databases and files
• Build AI agents and semantic search

Build isolated code execution environments on Cloudflare Workers for AI-generated code, scripts, and build pipelines. Covers running commands, managing files, preserving interpreter state, exposing service previews, and cleaning up sandbox resources.

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• Build an execution environment for AI-generated code
• Run build and test pipelines in isolation
• Preview a web service running in a sandbox

Build and deploy AI agents on Cloudflare Workers using the Agents SDK. Supports persistent conversation state, live WebSocket connections, scheduled tasks, and tool integration, with guidance for connecting browser or React chat interfaces.

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• Build a chatbot that preserves conversation history
• Connect a live chat interface through WebSockets
• Schedule reminders and recurring background tasks

Write and review Cloudflare Workers code using current official guidance. Check configuration, asynchronous tasks, large response handling, secrets, and service connections, with findings supported by documentation, code locations, or validation results.

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• Writing a new Cloudflare Worker
• Reviewing Workers code before production use
• Checking wrangler.jsonc and service bindings

Build remote MCP servers, which let AI agents call external tools, on Cloudflare Workers. This skill covers server code, tool definitions, OAuth authentication, local testing, deployment, and connecting a Codex client.

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• Building a remote MCP server
• Adding OAuth authentication to MCP tools
• Exposing external APIs as tools for AI agents

Audit page loading speed with Chrome DevTools MCP, a tool connection for browser inspection. Measure performance indicators, investigate network delays and layout shifts, check accessibility gaps, and produce prioritized fixes with estimated impact and relevant code findings.

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• Investigate slow page loads
• Find causes of layout shifts
• Identify improvements related to Lighthouse scores

Implement semantic vector search with AgentDB for intelligent document retrieval, similarity matching, and context-aware querying. Use when building RAG systems, semantic search engines, or intelligent knowledge bases.

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Build search applications using Azure AI Search SDK for JavaScript (@azure/search-documents). Use when creating/managing indexes, implementing vector/hybrid search, semantic ranking, or building agentic retrieval with knowledge bases.

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Semantic search over ingested documents using RAG (LlamaIndex/ChromaDB or Foundational RAG)

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Baidu Web Search skill for real-time Chinese web information retrieval. Breaks through static knowledge base limitations to get the latest news and information. Use when user needs to search the Chinese web for current information.

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Perform closed-book frontier reasoning — complex problem solving from internalized knowledge without external retrieval or tool use.

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HNSW vector search for pattern similarity retrieval and knowledge graph maintenance with PageRank scoring, community detection, and 3-tier memory management.

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