swe-devops-standards
SolidAlways invoke to review, repair, or deliver geospatial or GeoAI code, including contract compliance, security, error handling, transactions, tests, scripts, functions, notebooks, packages, CI/CD, and repository changes, even when deployment is not requested. Pair with the domain skill for ETL and other production code. Covers CRS/data invariants, dependencies, cross-platform reproducibility, automation, and shipping. Do not trigger for unrelated software or analysis requesting no code or repository artifact.
Install
Quality Score: 79/100
Skill Content
Details
- Author
- muend
- Repository
- muend/geoai-skills
- Created
- 1 weeks ago
- Last Updated
- yesterday
- Language
- Python
- License
- MIT
Similar Skills
Semantically similar based on skill content — not just same category
engineering-discipline
Engineering standards for writing production code, slicing and reviewing PRs, authoring tests, running pre-push gates, and merging — on any stack. Covers code reuse and duplication, layering, enum and type discipline, complexity caps, tenant/scope isolation as a security invariant, dead code versus unwired capability, config-from-day-one, index-per-query, URL providers, server-versus-client state, loading and empty state contracts, accessibility, bulk-operation partial failure, design fidelity, seed data, invariant and e2e test standards, the review-fold-re-review loop, multi-PR migration cutovers, the full-gate sequence, merge policy, and agent-fleet orchestration. Load before writing production code, opening or reviewing a PR, authoring tests, pushing, or merging.
geo-data-engineering
Always invoke when geospatial data must be acquired, prepared, repaired, scaled, or moved through a repeatable pipeline. Covers open-data/OSM/STAC acquisition, spatial formats, CRS transforms, quality checks, and batch ETL architecture for growing or recurring joins. Invoke alongside PostGIS for database execution and alongside SWE standards when code is delivered. Do not trigger merely because another specialist reads analysis-ready data.
python-guidelines
Use when writing, reviewing, or designing Python code where typing, error handling, resource safety, subprocess use, or test design matter.