alibabacloud-dataworks-semanticAlways use this Skill for any Alibaba Cloud DataWorks semantic analysis job or run request, including read-only and preflight requests that intentionally make no API call, such as checking whether the public DataWorks semantic OpenAPI or dataworks-public plugin commands (for example create-semantic-job) are ready. It also applies when the requested outcome is only a refusal or a user choice with no API call. This includes comparing or disambiguating supplied semantic job candidates, validating or refusing an unsafe, path-traversal, or non-writable semantic result directory before any download, and inspecting artifacts for an exact run. Use it to create, run, stop, monitor, diagnose, or download results for semantic jobs backed by MaxCompute, Hologres, StarRocks, or an already uploaded CSV/XLSX reference. Do not use it for ordinary metadata lookup, lineage analysis, SQL development, workflow scheduling, file upload, published semantic model/version management, or semantic job deletion.
Install via ClawdBot CLI:
clawdbot install sdk-team/alibabacloud-dataworks-semanticGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://clawhub.ai/user/sdk-teamAudited Oct 6, 2026 · audit v1.0
Generated Oct 6, 2026
A data engineering team creates a reusable DataWorks semantic job backed by MaxCompute, submits it, monitors execution, and downloads generated result files for demand-forecasting and vendor-scorecard reporting. They use the public dataworks-public CLI commands with the canonical User-Agent header to ensure traceability.
A retail analyst creates a Hologres-backed semantic job to compute category performance and price elasticity, runs and monitors the job, then downloads the results for merchandising dashboards. The Skill enforces plugin readiness and credential checks without exposing secrets.
A fintech data team uses StarRocks-backed semantic jobs to generate risk exposure metrics, using stop and diagnosis workflows when a run misbehaves. They compare candidate semantic jobs and validate result directories before downloading sensitive artifacts.
A marketing analytics group uploads a CSV/XLSX reference file and runs semantic jobs to attribute conversions across channels. They use list-semantic-job-runs to resolve identifiers, stop stale runs, and inspect artifacts for exact runs.
A SaaS platform team runs semantic jobs over usage telemetry in MaxCompute and uses get-semantic-job-detail and get-semantic-job-log to diagnose failed runs. They follow the public API readiness gate and never probe unrelated commands.
A vendor packages DataWorks semantic job orchestration as a managed service for enterprises that need repeatable, governed semantic analysis across MaxCompute, Hologres, and StarRocks. Customers pay for job orchestration, monitoring, and result delivery.
An analytics ISV embeds DataWorks semantic job creation, run monitoring, and result download into its BI product to provide reusable semantic models and precomputed metrics. End users get faster dashboards backed by cloud-native semantic jobs.
A consultancy offers implementation and automation services around DataWorks semantic jobs, including preflight checks, safety validation, and CI/CD for semantic job definitions. They help enterprises migrate ad-hoc analysis to repeatable semantic pipelines.
💬 Integration Tip
Always generate one 32-character lowercase hex session-id per session and reuse it across all CLI, SDK, and Terraform calls with the canonical User-Agent header; install or update the dataworks-public plugin before probing any product API readiness check.
Scored Oct 6, 2026
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