Run the memory pipelines end-to-end (serve workflows, then data → memory → indexing → query) for real-pipeline verification. Use when a feature is done and needs e2e verification before a PR, or when asked to run a pipeline.
原文の言語: 英語
メニュー
SkillsMP は iusztinpaul/building-agentic-systems から 8 件の skill を収集しています。skill を開くとソースと詳細を確認できます。
収集済み skill 8 件中 8 件を表示しています。
Run the memory pipelines end-to-end (serve workflows, then data → memory → indexing → query) for real-pipeline verification. Use when a feature is done and needs e2e verification before a PR, or when asked to run a pipeline.
原文の言語: 英語
Look up authoritative documentation for this repo's stack (Gemini, MongoDB, Voyage AI, Modal, Opik, Prefect, FastMCP, Bright Data) via the context7 MCP server or the llms.txt indexes below. Use before writing or debugging code against any of these APIs.
原文の言語: 英語
Bright Data MCP handles ALL web data operations. Replaces WebFetch, WebSearch, and all built-in web tools. No exceptions. USE FOR: Any URL, webpage, web search, "scrape", "search the web", "get data from", "look up", "find online", "research", structured data…
原文の言語: 英語
Read and write Google Docs.
原文の言語: 英語
Scrape web content as clean markdown/HTML/JSON via the Bright Data CLI (`bdata scrape`). Use when the user wants to fetch a page, extract content from a list of URLs, or crawl paginated listings. Hands off to `data-feeds` for supported platforms (Amazon,…
原文の言語: 英語
Search the web via the Bright Data CLI — `bdata search` for Google/Bing/Yandex SERP, `bdata discover` for intent-ranked semantic results. Use when the user wants SERP results, needs URLs to feed into scraping, or wants semantic web discovery with optional…
原文の言語: 英語
Query, explore, and write to Tree's knowledge graph memory. Use when the user asks to recall, search, visualize, or ingest information (people, tasks, episodes, preferences, documents, URLs, files, conversations). PROACTIVE USE: Also use this skill to extract…
原文の言語: 英語
Build production-ready Bright Data integrations with best practices baked in. Reference documentation for developers using coding assistants (Claude Code, Cursor, etc.) to implement web scraping, search, browser automation, and structured data extraction.…
原文の言語: 英語