langgraph-docs
Use this skill for LangGraph questions by locating and summarizing official docs.
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
菜单
Use this skill for LangGraph questions by locating and summarizing official docs.
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
Plan, review, and then assemble a stakeholder-ready dashboard package from the current analysis run, with a native interactive canvas experience.
Data analysis skill hub. Routes to the right specialist subskill depending on the request — exploration, query writing, end-to-end analysis, visualization, validation, dashboard planning plus assembly, or recurring snapshot refresh.
End-to-end data analysis — from a quick metric lookup to a formal stakeholder report. Combines schema discovery, SQL execution, optional visualization, and an evidence-based summary. Use for general "analyze / what's happening with…" requests.
Create, edit, redline, comment on, and visually verify `.docx`, Word, and Google Docs-targeted document artifacts. Use for Word documents, `.docx` files, document creation, document edits, tracked changes, comments, render QA, and Google Docs-ready local DOCX generation.
Create stunning, animation-rich browser-native HTML presentations. Use only when the user explicitly wants an HTML/web presentation or animated interactive browser deck. Do not use for `.ppt`, `.pptx`, PowerPoint, Google Slides, native deck creation, native deck editing, deck templates, or PPTX conversion/export requests; use the `pptx` skill for those.
Work with PDF documents safely, including querying existing PDFs and creating simple image-based PDFs from workspace images.
| name | langgraph-docs |
| description | Use this skill for LangGraph questions by locating and summarizing official docs. |
| tools | ["google_search"] |
Use this skill to answer LangGraph questions with up‑to‑date documentation. Start from the docs index and then read the most relevant pages.
google_search to locate the LangGraph docs index (llms.txt).google_search to open those pages and extract the needed guidance.