浏览 dsa110 维护的已发布 AI 技能，比较用途与说明，并通过来源仓库了解安装方式。
已收录技能
9收录技能的仓库 Stars 合计
0仓库 Forks
0平均每个技能的仓库 Stars
0同一仓库中的多个技能可能共享 Stars，合计包含重复仓库数据。
DSA-110 radio astronomy pipeline development with Python 3.11+, Dagster workflows, CASA integration, FastAPI, GraphQL/Strawberry, and scientific computing best practices. Use for any work on the dsa110-contimg...
DSA-110 radio astronomy pipeline development with Python 3.11+, Dagster workflows, CASA integration, FastAPI, GraphQL/Strawberry, and scientific computing best practices. Use for any work on the dsa110-contimg...
Incident response and troubleshooting for pipeline failures. Use when investigating errors, log anomalies, failed runs, or degraded performance and when preparing recovery steps or mitigations.
Frontend UI/UX changes, dashboards, visualizations, and UI testing. Use when modifying the web UI, improving UX, adjusting visualizations, or running frontend tests.
Quality assurance, validation checks, metrics, and regression verification for pipeline outputs. Use when running validation suites, checking image quality, or defining acceptance criteria.
Documentation updates, run reports, verification summaries, and status notes for the pipeline. Use when creating or updating docs, reports, or change logs.
Development workflows for the pipeline including tests, linting, local dev servers, CI checks, and code organization. Use when implementing features, running tests, or preparing changes for review.
Environment setup, configuration management, ports, and runtime settings for the pipeline. Use when adjusting configs, setting env vars, or diagnosing environment-specific behavior.
Run, monitor, and control the DSA-110 continuum imaging pipeline or its orchestration. Use for starting/stopping runs, backfills, scheduling, retries, runtime state inspection, Dagster/CLI entrypoints, and oper...
默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库，同一仓库的多个技能可能共享相同数值；它反映仓库关注度，不代表单个技能的安装量或质量评分。