ae-cli

Use ae-cli for AE analysis-side data questions, asset operations, and asset governance: reports, analysis boards, BI dashboards, ad-hoc models, drilldown, detail data, alerts, clusters, tags, metrics, metadata discovery, project configuration, tracking plans, local input-file upload, governance asset lists/rules/lineage/impact/dependency, batch asset operations, projects, and resource links. Use when the user asks to query data, explain a change, export evidence, inspect/create/update/govern analysis assets, recommend project assets for certification/authentication, review asset-certification recommendations, review metric recommendations, or build/update/refresh/sync a project semantic knowledge base from a governed asset package.

Use ae-cli for DataOps warehouse tables/views and fields, recycling, workflow configuration and release, execution troubleshooting, backfill, SQL queries, and data integration.

AE Engage capability gateway: config center, flows, push/config channels, strategies, templates, task management, operation activities, and query lifecycle. Trigger words: config center, scene config, push channel, config channel, operation strategy, operation task, operation activity, query lifecycle, template, config item, Engage, Hermes, engage-scene, engage-setting, engage-flow, engage-task, engage-activity, engage-query.

AE community analysis and data reporting for posts, comments, topics, livestreams, customer-service chats, WeCom after-sales groups, and in-game chat. Use for community content insight, sentiment, intent, evidence drill-down, community data ingestion/import/submission, and WeCom chat data integration (社区数据上报、导入、提交社区数据、企微聊天数据接入).

AE Agent platform CLI for Agent, resource package import and export, notification, approval, archived conversation, model, MCP, Skill, attachment, and user-memory work. Use when managing these resources, browsing Agent markets, handling approval requests and tasks, restoring archived conversations, persisting user memory, or answering from user preferences, background, stable workflows, or historical conventions.

AE knowledge base CLI manual for creating, importing read-only compiled snapshots, querying, LLM-powered ask, listing accessible knowledge bases and their sources, deterministic index/grep/read retrieval, checking status, ZIP source upload and directory management, raw child-file reading, revision-checked child updates and deletion, compiling, schema generation, URL sources, source deletion, ordinary text source creation, full reads and revision-checked editing, file/ZIP source draft replacement and restoration, and knowledge base deletion. Use when the user asks to manage AE (Agentic Engine) knowledge bases, import a compiled Markdown ZIP snapshot, upload documents or URLs to a knowledge base, query knowledge, ask knowledge bases with an LLM, list accessible knowledge bases or source metadata, inspect knowledge base indexes, search knowledge base pages, read a specific knowledge base page, check knowledge base status, generate schemas, compile knowledge, remove sources, create or edit

检测新合并到 te-cli 的 CLI 功能是否合理。从命令注册、业务域↔skill 配对、skill 文档覆盖、skill 内部一致性、用户文档同步、工程健壮性六个维度扫描，定位会导致命令加载失败、AI agent 读空文档瞎猜参数、用户文档滞后等问题。当合并了新命令域/命令、新增或修改 skill、做发版前自检、或需要评估 CLI 功能完整性时使用。

ThinkingAI AE (Agentic Engine) ae-cli manual for AI Agent Team tasks: managing teams (list, create, update, delete, AI-generate, templates) and executing TeamRuns (start, chat, cancel, reply, result, artifacts). Use when the user asks to find a team, run a team task, check run status, retrieve results or artifacts, or set up multi-agent workflows. Must use ae-cli, read the matching references/ .md before composing commands, and never guess team IDs, run IDs, config structures, or parameter formats.

Use when AE analysis requests mention query/current/service/deployment clusters, current cluster (当前集群), cluster info (集群信息/有哪些集群), global or multi-cluster data, all clusters/all servers, GLOBAL/SLAVE, query-cluster, clusterqueryscope, slaveclusterid, country/region/server/shard/site/market routing, or when cluster may mean query cluster rather than audience/user segment.

AE metadata capability-gateway CLI: list, inspect, create, update, delete and download metadata data tables; bind an existing dimension table to a property or create and bind a CSV dimension table. Local file upload and event/property discovery are separate prerequisite capabilities.

Answers questions about ThinkingAI SDK integration and usage, including the LogBus2 data import tool. Trigger words: 怎么接入 / 如何集成 / SDK / 埋点 / 报错 / 使用方式 / API / LogBus / tracking / integration / how to integrate / data import / データ連携 / インテグレーション / 트래킹 / 연동.

Interactive generation of an AE tracking plan and upload. Trigger words: 埋点方案、埋点模板、tracking plan、AE 方案生成、create tracking plan、トラッキングプラン、트래킹 플랜. Follows anchor → draft → refine → token → upload five-phase workflow. Deliverable is a real tracking plan created in the AE platform.

AE capability gateway discovery and generic invocation with ae-cli. Use when the user needs to list or search available capabilities, inspect an unknown capability schema/risk/auth contract, optionally validate complex input or dry-run before execute, or invoke a long-tail capability that has no curated ae-cli command. Always discover and inspect before composing input; never guess capability IDs or input fields. Prefer on-demand validate OR dry-run — do not stack both by default.

Interactive generation of AE tracking code, LogBus2 configuration, and debug scripts from a tracking plan. Trigger words: 代码埋点、埋点代码、tracking code、埋点落地、logbus 配置、AE 上报代码、generate tracking code、insert tracking、トラッキングコード、트래킹 코드. Supports independent output mode selection per platform (insert/snippet). Server-side defaults to LoggerConsumer + LogBus2 architecture.

AE Agent system administration CLI for root and agent administrators. Use when the user asks to manage Agent members, sandboxes and shared tools, company model visibility/defaults/pricing, usage statistics and exports, cost quotas, balance alerts, IM channels, channel routing, WhatsApp Web linking, or Feishu user bindings. Must use ae-cli system commands, discover real IDs before writes, and never attempt to bypass a permission denial.

Bring local CSV, TSV, TXT, JSON, JSONL (NDJSON), XLS, and XLSX files — and Feishu sheet / Bitable (多维表格) URLs — into AE end-to-end: identify the source's business meaning, generate and confirm a tracking plan, transform rows into UE records, and upload. Also supports privacy-preserving local analysis and handing a small file to AE Agent. Use whenever a user wants to import offline/local data or a Feishu sheet / Bitable into AE, or analyze a file without uploading it. Trigger words: 本地数据导入 / 离线数据 / 数据文件 / 文件导入 / 文件上报 / CSV 导入 / Excel 导入 / TSV 导入 / JSON 导入 / 飞书表格导入 / 在线表格导入 / 飞书多维表格导入 / 多维表格导入 / 在线多维表格导入 / 导入到 AE / 导入到 ThinkingAI / local data import / import local file / import Feishu sheet / import Feishu Bitable.

Discover which AE (Agentic Engine) knowledge bases accessible to the current user are worth searching, and decide whether to search at all, through read-only operations. Use when the user explicitly asks to search knowledge bases, internal documentation, or company materials. Also use when a task requires internal facts or business context, or when ae-analysis sees an enabled KB auto-discovery company switch before choosing its query route. Use internal context to explain data analysis results, anomalies, or trends and form evidence-backed conclusions. Do not use if the user explicitly asks not to access knowledge bases. This skill covers discovery and candidate selection; run the actual +index / +grep / +read / +ask retrieval with the ae-kb skill.