thinkingaiagenticengine/ae-cli

ae-automation

Manage AE Agent and Agent team automations with ae-cli: create and edit schedules, enable or disable, run now, stop or retry executions, delete, inspect history and read execution results.

ソースを見る

使い方

  1. インストールコマンドをコピーし、自分の環境へ導入する前にソースを確認します。
  2. 必要なツール、認証情報、対応環境を原文で確認します。
  3. 入力と成果物を指定し、出力を資料と照合します。
npx skills add https://github.com/thinkingaiagenticengine/ae-cli --skill ae-automation

開始前の確認

  • 導入にはモデル契約、API枠、ファイルへのアクセス許可は含まれません。
  • スター数や導入数は活動の指標であり、独立した品質・安全性試験ではありません。
リポジトリの原文

見出し、例、コード、表、リンク、参照画像を含む原文を表示しています。

AE Automation

See command risks. Read the command contract before writing or executing an automation. Use ae-cli automation --help and leaf help to discover flags.

  1. Resolve the host and space. A local user signs in with ae-cli auth login; a sandbox uses the current conversation user's injected CLI token, never a shared sandbox's user binding. Pass --agent-space-id when the user identifies a space. Without an explicit space, the CLI inherits the current AgentSpace from its runtime context, working directory or verified current conversation; only a local invocation without space context uses the personal default. Show the resolved space when it matters.
  2. Discover the automation with automation list and inspect automation get. Use the returned IDs; names are not unique.
  3. For creation, select an Agent or team through the corresponding discovery commands. Match configuration to the target type. Use --weekdays or --days-of-month JSON arrays for multiple days with one time; skip dates absent in a month. For the actual last day of every month use --days-of-month '["L"]', or combine it with dates, e.g. '[1,15,"L"]'; overlapping selections execute only once. Both Agent and Agent Team accept result notifications. Confirm the complete configuration before creation; save only the recurring task instructions as --message, never the automation-creation guide. Preview writes with --dry-run when useful; the CLI shows a redacted request and asks the server to validate authentication, space, permissions, target state, fields, and idempotency without applying the operation.
  4. Execute the requested operation. Deleting an automation or stopping an execution requires confirmation; use --yes only when the user already authorized that action. In a non-interactive shell, these operations fail immediately unless global --yes is present.
  5. Read the returned run ID, then automation runs result. Report acceptance separately from completion. Use --wait only when the user needs the final outcome now.

Results are read from the server and work outside the sandbox. This skill does not read complete conversations or continue a chat. Never infer an output from a different execution sharing the same conversation.

同じリポジトリから

関連する Skills

すべての Skills
thinkingaiagenticengine
コミュニティ

ae-agent

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.

1時間の導入数
1
GitHub Stars
21
更新日
10月29日
thinkingaiagenticengine
コミュニティ

ae-analysis

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 review collected analysis questions or badcases, query data, explain a change,

1時間の導入数
1
GitHub Stars
21
更新日
10月29日
thinkingaiagenticengine
コミュニティ

ae-analysis-global

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.

1時間の導入数
1
GitHub Stars
21
更新日
10月29日
thinkingaiagenticengine
コミュニティ

ae-capability

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.

1時間の導入数
1
GitHub Stars
21
更新日
10月29日