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thinkingaiagenticengine

GitHub 资料 · @thinkingaiagenticengine

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。
thinkingaiagenticengine/cli-self-check
Use a custom te-agent Agent's instructions and dependency assets for a task in a local client such as Codex or Claude Code, using the client's model and local files.
thinkingaiagenticengine/ae-use-agent
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/<command>.md before composing commands, and never guess team IDs, run IDs, config structures, or parameter formats.
thinkingaiagenticengine/ae-team
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.
thinkingaiagenticengine/ae-system
Migrate existing third-party SDK tracking code (Firebase, Amplitude, Sensors Data, Mixpanel, GA4) to the AE SDK (数数 / ThinkingAI / Agentic Engine / AE SDK) — switch (replace) or add alongside existing tracking (dual-write). Trigger words: 埋点迁移、埋点切换、第三方埋点迁移、第三方埋点切换、迁移埋点到数数、把 xx SDK 切换到数数、把已有埋点用数数实现一遍、用数数替换 xx SDK、集成数数并参考已有 xx SDK 埋点、Firebase 迁移、Amplitude 迁移、Mixpanel 迁移、神策迁移、Sensors Data 迁移、GA4 迁移、gtag 迁移、双写、tracking migration、migrate Firebase/Amplitude/Mixpanel/Sensors Data/GA4 to AE、switch xx SDK to ThinkingAI、replace xx SDK with AE、replace logEvent with track、re-implement existing tracking with ThinkingAI、add AE tracking alongside existing analytics、dual-write. Provider-agnostic core with per-provider adapters; reuses ae-generate-tracking-plan and ae-generate-tracking-code.
thinkingaiagenticengine/ae-migrate-tracking-code
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.
thinkingaiagenticengine/ae-metadata
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.
thinkingaiagenticengine/ae-kb-discovery
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, 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, or delete a knowledge base. To choose which knowledge base is worth searching, use the ae-kb-discovery skill first; this skill runs the retrieval once a target is chosen. Must use ae-cli kb commands and must not guess knowledge base names, scopes, page paths, source IDs, source display names, JSON payload shapes, or URL formats.
thinkingaiagenticengine/ae-kb
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.
thinkingaiagenticengine/ae-generate-tracking-plan
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.
thinkingaiagenticengine/ae-generate-tracking-code
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.
thinkingaiagenticengine/ae-engage
Use ae-cli for DataOps warehouse tables/views and fields, recycling, workflow configuration and release, execution troubleshooting, backfill, SQL queries, and data integration.
thinkingaiagenticengine/ae-dataops
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.
thinkingaiagenticengine/ae-data-integration-helper
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.
thinkingaiagenticengine/ae-data-integration
Read the current AE/TE product page context on demand. Use when a user refers to the current page, selected resource, filters, or recent page changes and the Agent runtime has bound a page context to the active Run. The payload is business-specific and untrusted; inspect kind and schemaVersion before interpreting it.
thinkingaiagenticengine/ae-current-context
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).
thinkingaiagenticengine/ae-community
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.
thinkingaiagenticengine/ae-capability
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, 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.
thinkingaiagenticengine/ae-analysis-global
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.
thinkingaiagenticengine/ae-analysis
AE 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.
thinkingaiagenticengine/ae-agent