ae-team

AE/TE/ThinkingEngine/ThinkingAI 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 resu

By thinkingaiagenticengine · 501 installs

npx skills add thinkingaiagenticengine/ae-cli --skill ae-team

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ae team CRITICAL — Before running any +<command command, you MUST first read the corresponding references/<command .md . The reference filename equals the command name without the leading + , for example +run start → references/run start.md . CRITICAL — Never guess team IDs, run IDs, or config JSON structures. Always use +list or +list templates to discover real resources first. CRITICAL — For the core Agent workflow (find → start → poll → artifacts), follow Workflow A in the Typical Workflows section below. Global AE CLI Rules AE CLI ( ae cli ) is the command line tool for the AE / TE / ThinkingEngine analysis platform. Global parameters: Parameter Description format <json\ table Output format. Default is JSON. jq <expr jq filter expression for JSON output. host <url Override the active AE host. Available on every command and may be placed after the subcommand, e.g. ae cli team +<command host <url . yes Skip confirmation for high risk write (delete) operations. dry run Show request details without executing. Output and errors: Successful commands return machine readable JSON by default. Envelope may include optional notice.host compat . Failed commands return { "ok": false, "error": { "type": "...", "message": "...", "hint": "..." } } and exit non zero. CRITICAL — Host compat (do this first): If stderr or notice.host compat has a version warning, open the user reply with ⚠️ and quote npm i g / npx skills add (or update cluster) lines verbatim , then list projects/results. Never omit when summarizing. Soft tip; ok: true may still include the notice. Safety constraints: Read commands ( +list , +list templates , +list projects , +run result , +run artifacts , +ai generate ) can execute directly once required IDs are known. Ordinary write commands require explicit user intent but no CLI confirmation. Only high risk write commands use the confirmation gate and may receive yes after explicit user authorization. Never invent team IDs, run IDs, agentId values, mcpServerIds , skillIds , knowledgeBaseIds , project IDs, or any resource identifiers. Discover them with list commands or accept them from the user. When to Use Use ae team for all AI Agent Team work: Team management : list available teams, create/update/delete a team, generate a team config draft with AI, browse templates. TeamRun execution : start a run, interact in chat mode, cancel a run, reply to a waiting run, poll result until completion, retrieve artifacts. If the user's intent is data analysis, audience management, metadata governance, or DataOps, switch to ae analysis / ae dataops / ae engage . Command Format All commands live under the team service. Quick help: Tool Groups (13) Team Management (7) +list ([doc](references/list.md)) — list all visible teams +create ([doc](references/create.md)) — create a new team with a TeamConfig +update ([doc](references/update.md)) — patch one or more fields of an existing team +delete ([doc](references/delete.md)) — delete a team (409 if runs are active) +ai generate ([doc](references/ai generate.md)) — AI generate a team config draft from a goal description +list templates ([doc](references/list templates.md)) — browse built in team templates +list projects ([doc](references/list projects.md)) — list projects available to the current user TeamRun Execution (7) +run start ([doc](references/run start.md)) — start a new TeamRun +run watch ([doc](references/run watch.md)) — stream a TeamRun via SSE (preferred over polling) +run chat ([doc](references/run chat.md)) — chat with a team (multi turn, auto resume) +run cancel ([doc](references/run cancel.md)) — cancel a running TeamRun +run reply ([doc](references/run reply.md)) — reply to a run in waiting user state +run result ([doc](references/run result.md)) — get the full result of a TeamRun (fallback polling) +run artifacts ([doc](references/run artifacts.md)) — list artifacts produced by a TeamRun TeamRun Status Reference Status Description pending Queued, waiting to start running Actively executing waiting user Paused — +run watch exits with code 2; read pendingQuestion from stdout, present to user, then call +run reply waiting approval Paused — waiting for approval paused Manually paused completed Finished successfully failed Execution failed cancelled Cancelled by user Terminal statuses: completed , failed , cancelled . Poll +run result until one of these is reached. Typical Workflows Workflow A — Start an existing team and wait for results Workflow B — AI generate a config, then create and run Workflow C — Multi turn chat Workflow D — Use a template to create a team Quick Verification