3.7K skills · sorted by relevance
API migration strategies, deprecation workflows, and header/URL/content versioning. Activate on: API versioning, backward compatibility, deprecation, breaking change, API migration, v1 v2, sunset header. NOT for: schema evolution in data (use schema-evolution-manager), gateway routing (use api-gateway-reverse-proxy-expert).
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Expert in script-to-video production pipelines for Apple Silicon Macs. Specializes in hybrid local/cloud workflows, LoRA training for character consistency, motion graphics generation, and artist commissioning. Activate on 'AI video production', 'script to video', 'video generation pipeline', 'character consistency', 'LoRA training', 'cloud GPU', 'motion graphics', 'Wan I2V', 'InVideo alternative'. NOT for real-time video editing, video compositing (use DaVinci/Premiere), audio production, or 3D modeling (use Blender/Maya).
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Expert-level idiomatic Rust API design — the patterns that make illegal states unrepresentable and abstractions zero-cost. Type-state programming (PhantomData state machines), newtype + sealed + extension traits, typestate builders, RAII guards & Drop ordering, the interior-mutability decision tree (Cell/RefCell/Mutex/RwLock/Atomic/OnceLock), enum-driven state machines, error architecture (thiserror vs anyhow), dyn vs generic dispatch & object safety, the impl Trait / GAT / RPITIT toolbox, and Deref-for-smart-pointers (and its abuse). Use when designing a Rust library's public API, encoding invariants in the type system, choosing a dispatch or error strategy, or reviewing Rust for idiom. NOT for borrow-checker firefighting / toolchain / test-runner workflow (use rust-development-workflow), NOT for pd-console GPUI rendering/layout/panes (use gpui-rust-console), NOT for app packaging/notarization (use rust-app-distribution).
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Expert legal research agent for finding and scraping expungement data state by state. Knows authoritative sources, URL patterns, Firecrawl configuration, and 2026 legal landscape.
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Expert in 3D computer vision labeling tools, workflows, and AI-assisted annotation for LiDAR, point clouds, and sensor fusion. Covers SAM4D/Point-SAM, human-in-the-loop architectures, and vertical-specific training strategies. Activate on '3D labeling', 'point cloud annotation', 'LiDAR labeling', 'SAM 3D', 'SAM4D', 'sensor fusion annotation', '3D bounding box', 'semantic segmentation point cloud'. NOT for 2D image labeling (use clip-aware-embeddings), general ML training (use ml-engineer), video annotation without 3D (use computer-vision-pipeline), or VLM prompt engineering (use prompt-engineer).
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Implement WCAG 2.2 AA/AAA compliance with automated testing, keyboard navigation, screen reader support, and focus management. Activate on: accessibility audit, WCAG compliance, keyboard navigation, screen reader, aria attributes, axe-core, focus trap. NOT for: design-level accessibility review (use design-accessibility-auditor), color contrast only (use css-in-js-architect).
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Use when implementing features or fixing bugs with strict Test-Driven Development (TDD). Activate for coding tasks that require new functionality, refactoring, or comprehensive test coverage, especially when the user mentions TDD or Test Driven Development.
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Expert knowledge of bilateral social security agreements (trygdeavtaler) in melosys-api. Use when: (1) Understanding which countries have agreements with Norway, (2) Debugging Sakstyper.TRYGDEAVTALE processing, (3) Understanding lovvalgsbestemmelser for specific agreement countries, (4) Investigating TrygdeavtaleVedtakService and attestation generation, (5) Understanding differences between EU/EEA and bilateral agreement handling.
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Expert knowledge of vedtak (verdict) processing in melosys-api using the saksflyt saga pattern. Use when: (1) Debugging vedtak-related issues or failures in IVERKSETT_VEDTAK_* processes, (2) Investigating race conditions where vedtak fails due to concurrent operations, (3) Understanding how fattVedtak triggers MEDL updates, letters, invoices, and case closure, (4) Tracing why vedtak got stuck or failed at specific steps, (5) Understanding the relationship between VedtakService classes and Prosessinstans, (6) Debugging issues with brev (letters), fakturering (invoicing), or MEDL registration.
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Expert knowledge of Oppgave (task management) integration in melosys-api. Use when: (1) Creating, updating, or closing oppgaver (tasks), (2) Understanding task types (BEH_SAK_MK, VUR, JFR) and priorities, (3) Debugging task assignment or reuse logic, (4) Working with saga steps for oppgave handling, (5) Understanding sensitive case routing (NAV Viken vs Melosys unit).
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Expert knowledge of Person data integration (PDL) in melosys-api. Use when: (1) Working with person data from PDL (Person Data Lake), (2) Understanding identity types (fnr, aktørID, NPID), (3) Working with addresses, family relations, or citizenship, (4) Debugging person data lookup issues, (5) Understanding the mapping between PDL and domain models.
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Expert knowledge of the saksflyt saga pattern implementation in melosys-api. Use when: (1) Debugging or modifying process flows (Prosessinstans, ProsessType, ProsessSteg), (2) Understanding async step execution and locking mechanisms (låsReferanse), (3) Investigating race conditions, OptimisticLockingException, or entity overwrites, (4) Moving event listeners to saga steps to avoid sync/async conflicts, (5) Adding new process types or steps, (6) Deciding whether to use @DynamicUpdate on entities.
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Expert knowledge of membership (medlemskap) domain in melosys-api. Use when: (1) Understanding pliktig vs frivillig membership determination, (2) Debugging medlemskapsperiode creation and updates, (3) Understanding trygdedekning combinations and rules, (4) Investigating MEDL synchronization issues, (5) Understanding membership status transitions and innvilgelsesresultat, (6) Working with UtledMedlemskapsperioder for proposal generation, (7) Understanding the relationship between bestemmelse, medlemskapstype, and trygdedekning. Triggers: medlemskapsperiode, pliktig, frivillig, trygdedekning, MEDL, innvilgelsesresultat, medlPeriodeID, bestemmelse.
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Expert knowledge of trygdeavgift (social insurance charge) domain in melosys-api. Use when: (1) Understanding avgift calculation for different member types, (2) Debugging årsavregning (annual reconciliation) processing, (3) Understanding fakturering flow to OEBS/faktureringskomponenten, (4) Investigating avgiftssatser and calculation rules per year, (5) Understanding skatteforhold and inntektskilder, (6) Debugging trygdeavgiftsperiode generation and storage, (7) Understanding the 25% rule and minstebeløp calculations.
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Expert knowledge of vilkår / vilkårsvurdering (requirements evaluation) in melosys-api. Use when: (1) Understanding inngangsvilkår structure for FTRL bestemmelser (VilkårForBestemmelse), (2) Debugging Vilkaarsresultat / oppfylt status or begrunnelser, (3) Understanding avklarte fakta (AvklarteFaktaForBestemmelse) collection, (4) Investigating why a vilkår fails or which vilkår a bestemmelse requires. Triggers: vilkår, vilkaar, vilkaarsresultat, vilkårsvurdering, oppfylt, begrunnelse, inngangsvilkår, avklarte fakta, FTRL_2_5, FTRL_2_8, VilkårForBestemmelse.
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Expert knowledge of authentication and authorization patterns in melosys-api. Use when: (1) Understanding Azure AD/OIDC authentication, (2) Debugging Tilgangsmaskinen access control, (3) Understanding SubjectHandler and user context, (4) Configuring OAuth2 clients for service-to-service calls, (5) Understanding audit logging patterns.
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Expert knowledge of MEDL (Medlemskapsregister) integration in melosys-api. Use when: (1) Debugging MEDL period creation/update failures, (2) Understanding data mapping between domain entities and MEDL API, (3) Working with saga steps that write to MEDL (LagreMedlemsperiodeMedl, LagreLovvalgsperiodeMedl), (4) Understanding MEDL enums (PeriodestatusMedl, LovvalgMedl, DekningMedl, GrunnlagMedl), (5) Troubleshooting Article 13 provisional vs final period logic.
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Expert knowledge of lovvalg (law determination/applicable legislation) domain in melosys-api. Use when: (1) Understanding which EU/EEA article applies (11, 12, 13, 16), (2) Debugging LA_BUC processing and SED sending/receiving, (3) Understanding A1 attestation generation, (4) Investigating lovvalgsperiode and unntaksperiode management, (5) Understanding automatic vs manual lovvalg determination, (6) Debugging lovvalgsbeslutning status transitions, (7) Understanding the mapping between regulations and kodeverk.
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Expert knowledge of Altinn A1 application processing for posted workers in melosys-api. Use when: (1) Understanding Altinn søknad/skjema processing, (2) Debugging MedlemskapArbeidEOS form mapping, (3) Understanding SoeknadMapper transformations, (4) Investigating posted worker application issues, (5) Understanding the MOTTAK_SOKNAD_ALTINN saga flow.
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Expert knowledge of Employer/Employment integration (EREG/AAREG) in melosys-api. Use when: (1) Working with organization data from EREG (Enhetsregisteret), (2) Working with employment data from AAREG (Arbeidsforhold), (3) Understanding employer/organization lookup, (4) Debugging employer or employment issues, (5) Understanding the mapping between register data and domain models. Triggers: orgnummer, arbeidsforhold, EREG, AAREG, Enhetsregisteret, registeropplysninger, ansettelsesperiode, saksopplysning.
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Expert knowledge of Kodeverk (code registry/enums) system in melosys-api. Use when: (1) Understanding enums (Sakstyper, Behandlingstyper, Behandlingstema, etc.), (2) Validating legal combinations of case/treatment types, (3) Debugging "ugyldig kombinasjon" errors, (4) Adding new enum values or combinations, (5) Mapping between internal codes and external systems (MEDL, Oppgave, SED).
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Expert knowledge of Behandling (case treatment) domain in melosys-api. Use when: (1) Understanding the behandling lifecycle and status transitions, (2) Debugging issues with behandling creation, status changes, or closure, (3) Understanding relationships between Fagsak, Behandling, and Behandlingsresultat, (4) Investigating why a behandling is stuck or has wrong status, (5) Understanding Behandlingstyper, Behandlingstema, Behandlingsstatus enums, (6) Debugging journalføring or SED-triggered behandling creation, (7) Understanding behandling creation via saksflyt sagas.
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Expert knowledge of Kafka event streaming patterns in melosys-api. Use when: (1) Understanding Kafka producers and consumers, (2) Debugging Kafka message processing issues, (3) Understanding topic configuration and message schemas, (4) Investigating SkippableKafkaErrorHandler and error handling, (5) Understanding Aiven Kafka setup and security configuration.
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Expert knowledge of Journalføring (document archiving) in melosys-api. Use when: (1) Creating/updating journalposts (Joark API), (2) Retrieving documents from SAF (GraphQL), (3) Understanding document workflows, (4) Debugging journalpost issues, (5) Mapping document types and categories. Triggers: "journalpost", "journalføring", "Joark", "dokarkiv", "SAF", "dokumentoversikt", "hentDokument", "ferdigstill journalpost", "Variantformat".
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