RUC-NLPIR

Search the web using Baidu AI Search Engine (BDSE). Use for live information, documentation, or research topics.

Data analysis and visualization. Query databases, generate reports, automate spreadsheets, and turn raw data into clear, actionable insights. Use when (1) you need to analyze, visualize, or explain data; (2) the user wants reports, dashboards, or metrics turned into a decision; (3) the work involves SQL, Python, spreadsheets, BI tools, or notebooks; (4) you need to compare segments, cohorts, funnels, experiments, or time periods; (5) the user explicitly installs or references the skill for the current task.

Read and send email via IMAP/SMTP. Check for new/unread messages, fetch content, search mailboxes, mark as read/unread, and send emails with attachments. Supports multiple accounts. Works with any IMAP/SMTP server including Gmail, Outlook, 163.com, vip.163.com, 126.com, vip.126.com, 188.com, and vip.188.com.

Use this skill to extract structured Markdown/JSON from PDFs and document images—tables with cell-level precision, formulas as LaTeX, figures, seals, charts, headers/footers, multi-column layout and correct reading order. Trigger terms: 文档解析, 版面分析, 版面还原, 表格提取, 公式识别, 多栏排版, 扫描件结构化, 发票, 财报, 复杂 PDF, PDF转Markdown, 图表, 阅读顺序; reading order, formula, LaTeX, layout parsing, structure extraction, PP-StructureV3, PaddleOCR-VL.

Neural web search, content extraction, company and people research, code search, and deep research via the Exa MCP server. Use when you need to: (1) search the web with semantic understanding — not just keywords, (2) find research papers, news, tweets, companies, or people, (3) extract clean content from URLs, (4) find semantically similar pages to a known URL, (5) get code examples and documentation, (6) run deep multi-step research with a report, (7) get a quick synthesized answer with citations. NOT for: local file operations, non-web tasks, or anything that doesn't involve web search or content retrieval.

飞书发送文件技能。用于通过飞书向用户发送普通文件附件（HTML、ZIP、PDF、代码文件等）以及处理“本地图片路径被发成路径文本”的可靠补救场景。普通文件必须先上传获取 `file_key` 再发送；当本地图片用 `message`/`media` 发送后在飞书里只显示 `/root/...png` 路径而不显示图片时，改用本技能内的稳定图片上传脚本（`im/v1/images` -> `image_key` -> `msg_type=image`）。

飞书深度集成技能。不是简单的消息桥接，而是你的数字指挥中枢。专为中国企业高压协作环境设计，理解“分寸”与“效率”两套并行规则，把消息、审批、会议、文档、多维表格、日程与邮箱，压缩成有优先级、可执行的行动链。

OpenClaw自动化文件管理助手，用于批量文件操作、智能分类、重复文件清理、文件重命名、目录同步等任务。当用户需要整理文件、批量重命名、清理重复文件、同步目录或自动化文件工作流时使用此技能。

Setup, intake, preflight, and launch-contract phase for open-source Arbor runs. Use when confirming a target project, metric, baseline, dev/test split, config/plugin settings, branch guard, session directory, or when translating a user goal into the precise contract consumed by the coordinator.

Public entrypoint for the Arbor skill suite. Use when a user wants to run an Arbor-style autonomous research or optimization workflow from a natural-language goal, including initial clarification of objective, target project, data, metric, evaluation, permissions, budget, run mode, and then automatic bootstrapping into arbor-agent-orchestrator and phase skills.

Coordinator phase for Arbor: persistent ReAct loop, Idea Tree state, INIT/OBSERVE/IDEATE/SELECT/DISPATCH/DECIDE protocol, tool mapping, cycle caps, and coordinator-only behavior. Use after setup/intake and before phase-specific ideation, executor, merge, search, or report skills.

Executor-dispatch phase for Arbor. Use when implementing an Idea Tree node through RunExecutor or RunExecutorParallel semantics: isolated git worktree, executor prompt construction, eval metadata injection, RunTraining policy, smoke/full evaluation, report parsing, artifact persistence, tree update, and insight propagation.

Strict IDEATE-stage skill for Arbor. Use immediately after TreeView(format="constraints") when drafting Idea Tree nodes, enforcing the idea_drafting and first_principles_probe behavior, depth-aware idea levels, four-line TreeAddNode hypotheses, conflict checks, and self-filtering against shallow tweaks.

Merge and evaluation discipline for Arbor. Use for TreeSetMeta metadata, B_dev/B_test separation, eval command templates, score parsing, GitMergeBranch behavior, protected paths, required outputs, metric_direction, trunk/test score updates, medal detection, and final evaluation before stopping.

Top-level controller for recreating the open-source AutoResearch workflow as a suite of skills. Use when the user asks to run, emulate, extract, validate, or refine Arbor/AutoResearch behavior, especially when a coordinator must load phase skills for setup, ideation, executors, merge evaluation, novelty search, plugins, resume, and reports.

Domain adaptation, human-in-the-loop, and budget policy phase for Arbor. Use when a run mentions plugins, plugin profiles, mle_kaggle, eval_contract, protected_paths, required_outputs, lifecycle hooks, convergence, budget_policy, RunTraining stages, AskUser, or interaction modes auto/direction/review/collaborative.