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Build and review Python services, scripts, data tools, and automation. Use for FastAPI, data processing, packaging, typing, tests, notebooks, and production scripts.
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Based on SOC occupation classification
Define, implement, and review the Volt GUI desktop design language and user experience. Use for any Volt GUI Svelte/Wails UI work involving visual styling, layout, navigation, Work/Code workbenches, composer interactions, settings, dialogs, lists, empty/loading/error states, responsive behavior, or design-system decisions.
Use when designing, implementing, or reviewing Volt GUI operational task-lifecycle UX: running message queues and Steer, activity centers, result receipts, structured recovery, explainable approvals, Diff comments to fixes, automation result inboxes, or managed worktree snapshot/Handoff flows. Enforces real Wails-backed state, safe mutation preflights, Work/Code ownership, and behavioral plus visual verification; pair with the project volt-gui-design-language skill for broad visual or layout work.
Use when configuring, verifying, or debugging the 西谷智灯暗涌系统 (Anyong/Xigu AI) white-label branding on the VoltUI fork. Covers BrandConfig env vars, voltui.toml [brand] section, desktop-build.sh VOLTUI_BRAND_NAME, and GitHub Actions/CNB release naming.
Use when configuring, debugging, or modifying CNB (Cloud Native Build) CI/CD pipelines for VoltUI/西谷智灯暗涌系统. Covers .cnb.yml structure, auto-release conventional commit workflow, merge-request CI checks, cross-repo PR creation, and CNB Release API.
Use when tasks involve 西谷AI (Xigu AI) internal operations, 西谷智灯暗涌系统 product strategy, Chinese AI market context, local regulations, or fork-specific workflow decisions. Covers upstream sync strategy, release workflow, internal tooling, and product-market-fit decisions for the 西谷智灯暗涌系统 coding agent.
Design and review REST, OpenAPI, GraphQL, webhook, and internal service APIs. Use for contracts, versioning, idempotency, pagination, errors, auth, and SDK ergonomics.
| name | python-development |
| description | Build and review Python services, scripts, data tools, and automation. Use for FastAPI, data processing, packaging, typing, tests, notebooks, and production scripts. |
Support Python work with clear environment management, typed boundaries, reliable tests, and maintainable data handling.
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