thinkingaiagenticengine
GitHub16 skills
ae-agentthinkingaiagenticengineAE Agent platform CLI for Agent, notification, approval, archived conversation, automation, model, MCP, Skill, attachment, and cross-project user-memory work. Use when managing these resources, browsing Agent markets, handling approval requests and tasks, restoring archived conversations, creating scheduled automations, persisting non-project-scoped user memory, or answering from cross-project user preferences, background, stable workflows, or historical conventions.ae-analysisthinkingaiagenticengineUse 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 anaae-analysis-globalthinkingaiagenticengineUse 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, cluster_query_scope, slave_cluster_id, country/region/server/shard/site/market routing, or when cluster may mean query cluster rather than audience/user segment.ae-capabilitythinkingaiagenticengineAE 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.ae-communitythinkingaiagenticengineAE 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-data-integrationthinkingaiagenticengineBring 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ae-data-integration-helperthinkingaiagenticengineAnswers 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.ae-dataopsthinkingaiagenticengineUse ae-cli for DataOps warehouse tables/views and fields, recycling, workflow configuration and release, execution troubleshooting, backfill, SQL queries, and data integration.ae-engagethinkingaiagenticengineAE 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-generate-tracking-codethinkingaiagenticengineInteractive 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-generate-tracking-planthinkingaiagenticengineInteractive 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-kbthinkingaiagenticengineAE 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, file/ZIP source draft replacement and restoration, and knowledge base deletion. Use when the user asks toae-metadatathinkingaiagenticengineAE 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.ae-systemthinkingaiagenticengineAE 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.ae-teamthinkingaiagenticengineThinkingAI 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/<command>.md before composing commands, and never guess team IDs, run IDs, config structures, or parametcli-self-checkthinkingaiagenticengine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。