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laundry-app
laundry-app contient 6 skills collectées depuis derangga, avec une couverture métier par dépôt et des pages de détail sur le site.
Skills dans ce dépôt
16-phase deterministic workflow. Auto-invoke for any non-trivial coding task that will result in file changes. Triage classifies the task (TRIVIAL/SMALL/MEDIUM/LARGE) and skips phases for trivial fixes. Do NOT invoke for read-only questions, code explanations, search-only tasks, or pure conversations.
Use when the user needs to run GitNexus CLI commands like analyze/index a repo, check status, clean the index, generate a wiki, or list indexed repos. Examples: "Index this repo", "Reanalyze the codebase", "Generate a wiki"
Enforces Effect-TS patterns for services, errors, layers, and atoms. Use when writing code with Effect.Service, Schema.TaggedError, Layer composition, or effect-atom React components.
Routes backend Effect tasks to the right skills, invariants, and reviewer. Use when modifying backend/src/** or shared schemas backing a backend feature. Returns the skill list to load, repo invariants to enforce, mandatory tools, and the required reviewer follow-up.
Routes frontend TanStack/React tasks to the right skills, invariants, and reviewer. Use when modifying frontend/src/** or shared schemas backing a frontend feature. Returns the skill list to load, repo invariants to enforce, mandatory tools, and the required reviewer follow-up.
Instrument backend Effect code with OpenTelemetry traces, metrics, and structured logs via @effect/opentelemetry and @laundry-app/observability. Use when adding repository methods, custom counters or histograms, HTTP middleware metrics, debugging the OTel/Prometheus/Loki/Grafana stack, or wiring new Grafana dashboard panels.