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SkillsMP는 iusztinpaul/building-agentic-systems에서 8개의 skill을 수집했습니다. skill을 열어 소스와 세부 정보를 확인하세요.
수집된 skill 8개 중 8개를 표시합니다.
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.
원문 언어: 영어
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.
원문 언어: 영어
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…
원문 언어: 영어
Read and write Google Docs.
원문 언어: 영어
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,…
원문 언어: 영어
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…
원문 언어: 영어
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…
원문 언어: 영어
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.…
원문 언어: 영어