alibabacloud-agentbay-…
Execute code in a secure cloud sandbox via AgentBay SDK. Use this skill whenever users request to run, execute, or evaluate code (Python, JavaScript, R, Java),…
Manage the full lifecycle of Alibaba Cloud Realtime Compute for Apache Flink SQL: analyze schemas, author and validate SQL, manage Drafts, Deployments, Jobs, Savepoints, Session Clusters, Catalogs, Connectors, UDFs, variables, and deployment targets, synchronize configuration to
$ npx -y skills add aliyun/alibabacloud-aiops-skills --skill alibabacloud-flink-sql-skill --agent claude-codeHow it fires
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Manage the full lifecycle of Alibaba Cloud Realtime Compute for Apache Flink SQL: analyze schemas, author and validate SQL, manage Drafts, Deployments, Jobs, Savepoints, Session Clusters, Catalogs, Connectors, UDFs, variables, and deployment targets, synchronize configuration to
name: alibabacloud-flink-sql-skill description: > Manage the full lifecycle of Alibaba Cloud Realtime Compute for Apache Flink SQL: analyze schemas, author and validate SQL, manage Drafts, Deployments, Jobs, Savepoints, Session Clusters, Catalogs, Connectors, UDFs, variables, and deployment targets, synchronize configuration to Git, and troubleshoot logs, Metrics, Checkpoints, exceptions, plans, and backpressure. Use when the user asks about Alibaba Cloud Flink, VVR, VVP, Flink SQL, its job lifecycle, or troubleshooting. Operate the platform through the Python CLI; historical Metrics use a user-supplied VVP Cookie. Verify scope and authentication before platform operations. High-risk actions usually require confirmation; explicit confirmation for the resolved target in the same request satisfies the gate. metadata: allowed-tools: Bash Read WebFetch WebSearch
This skill covers the complete lifecycle of a Flink SQL job, from requirements analysis, SQL authoring, validation, and deployment to operations, performance assessment, and troubleshooting, through a unified CLI.
Enter at the user's current stage and proceed along the same lifecycle:
1. **Requirements and data contract**: define the computation goal, inputs and outputs, correctness constraints, and runtime requirements. 2. **SQL authoring and static review**: translate the data contract into complete SQL and check semantics, configuration, and version compatibility. 3. **Configuration check and cloud validation**: confirm the target environment, identity, and metadata, and validate the SQL in the cloud environment. 4. **Draft and Deployment**: maintain Drafts and Deployment resources while keeping SQL, configuration, and deployed versions aligned. 5. **Start and acceptance**: start the Job with the required restore behavior and verify its runtime state and requested acceptance criteria. 6. **Operations and changes**: manage running Job instances, state, and supporting resources, and complete changes safely with read-back verification. 7. **Performance assessment and troubleshooting**: evaluate runtime behavior, identify bottlenecks or failures from evidence, and recommend actions.
Complete only the stages required by the user's goal. Do not deploy, start, stop, or delete resources without authorization. See [references/lifecycle.md](references/lifecycle.md) for command ordering.
Before any Ververica OpenAPI operation, run:
python3 scripts/flink_sql_manager.py config_doctor
If the workspace, namespace, or region is missing, follow [references/configuration.md](references/configuration.md): ask only for the missing real scope and save the user's optional Git settings in the same `config_init` call. Run `config_doctor` again after initialization. Continue with cloud operations only when it exits with code 0 and reports an explicit success. For any other outcome, including an unconfirmed result, stop subsequent platform commands, handle the actual error, and run the check again.
For local-only SQL design, authoring, or explanation, complete the current stage without blocking on platform configuration. Apply the gate when entering cloud validation or any later stage.
Historical Metrics use separate Cookie authentication and are not gated by the SDK credential check.
Always use real resource identifiers. When workspace, namespace, or region is missing, use the first-time initialization flow above. When a Draft ID, Deployment ID, or Job ID is missing, obtain it from user-provided information or a read-only query. Never call an API with placeholder IDs. Other than a user-provided Cookie for historical Metrics, do not accept AccessKey IDs, AccessKey secrets, tokens, or passwords. Never echo or commit credentials.
The CLI requires `--confirm` for every mutating command. The agent must also apply the following risk rules:
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