muend
Review Skills published by muend, their source repositories, maintenance signals, and identity status.
- Skills
- 3
- Repository stars
- 6
- Identity status
- Source-linked
Provenance
Source and identity
- Profile type
- Creator
- Canonical name
- muend
- Public sources
- 1
- License context
- MIT
Source entries
Agent Skills from muend
Repository stars and maintenance signals provide context, but do not automatically become an individual Skill's quality score.
muend/geoai-skills
geoai-orchestrator
Route genuinely ambiguous or multi-stage geospatial work across specialist skills while enforcing shared CRS, validity, leakage, units, verification, and reproducibility rules. Use for requests spanning multiple stages such as acquisition, imagery, modeling, analysis, and map delivery, or for an explicit end-to-end pipeline. Never invoke for one domain merely because a parameter is unclear. Code implementation/review, backend or platform choice, and production-readiness review are direct special
muend/geoai-skills
ml-experiment-standards
Always invoke for training, validating, tuning, benchmarking, or claiming readiness of a predictive model. Covers leakage audits, spatial and grouped splits, metrics, reproducibility, and honest reporting. Invoke especially when spatial dependence, split design, or deployment geography is unknown; uncertainty is a reason to use this skill. Do not trigger for descriptive EDA or non-predictive statistical inference.
muend/geoai-skills
swe-devops-standards
Always 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 reposit
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