Agent skills
Skills you can use with AI coding agents, indexed from public GitHub repositories.
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nw-der-review-criteria
Evaluation criteria and scoring for data engineering artifact reviews
nWave-ai/nWave 341
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nw-tdd-review-enforcement
Test design mandate enforcement, test budget validation, 5-phase TDD validation, and external validity checks for the software crafter reviewer
nWave-ai/nWave 341
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nw-sd-patterns
Core distributed systems patterns - load balancing, caching, sharding, consistent hashing, message queues, rate limiting, CDN, Bloom filters, ID generation, replication, conflict resolution, CAP theorem
nWave-ai/nWave 341
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nw-review-output-format
YAML output format and approval criteria for platform design reviews. Load when generating review feedback.
nWave-ai/nWave 341
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nw-ddd-tactical
Tactical DDD — aggregate design rules, entities, value objects, domain events, repositories, domain services, and anti-pattern detection
nWave-ai/nWave 341
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nw-infrastructure-and-observability
Infrastructure as Code patterns (Terraform, Kubernetes), observability design (SLOs, metrics, alerting, dashboards), and pipeline security stages. Load when designing infrastructure, observability, or security scanning.
nWave-ai/nWave 341
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nw-par-critique-dimensions
Platform design review critique dimensions and severity levels. Load when reviewing CI/CD pipelines, infrastructure, deployment strategies, observability, or security designs.
nWave-ai/nWave 341
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nw-rr-critique-dimensions
Critique dimensions and scoring for research document reviews
nWave-ai/nWave 341
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nw-mikado-method
Enhanced Mikado Method for complex architectural refactoring - systematic dependency discovery, tree-based planning, and bottom-up execution
nWave-ai/nWave 341
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nw-data-architecture-patterns
Data architecture patterns (warehouse, lake, lakehouse, mesh), ETL/ELT pipelines, streaming architectures, scaling strategies, and schema design patterns
nWave-ai/nWave 341
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nw-security-and-governance
Database security (encryption, access control, injection prevention), data governance (lineage, quality, MDM), and compliance frameworks (GDPR, CCPA, HIPAA)
nWave-ai/nWave 341
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nw-pbt-stateful
Stateful property-based testing patterns, model-based testing, and anti-patterns
nWave-ai/nWave 341
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nw-fp-hexagonal-architecture
Hexagonal architecture patterns with pure core and side-effect shell for functional codebases
nWave-ai/nWave 341
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nw-pbt-fundamentals
Property-based testing core concepts, property taxonomy, and strategy selection (language-agnostic)
nWave-ai/nWave 341
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nw-tdd-methodology
Deep knowledge for Outside-In TDD - double-loop architecture, ATDD integration, port-to-port testing, walking skeletons, and test doubles policy
nWave-ai/nWave 341
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nw-post-mortem-framework
Blameless post-mortem structure, incident timeline reconstruction, response evaluation, and organizational learning
nWave-ai/nWave 341
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nw-fp-kotlin
Kotlin language-specific patterns with Arrow, Raise DSL, and coroutine-based effects
nWave-ai/nWave 341
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nw-deliver-orchestration
DELIVER wave orchestration workflow -- 9 phases from baseline to finalization. Load when user invokes *deliver command. Covers state tracking, smart skip logic, retry, resume, and quality gate enforcement.
nWave-ai/nWave 341
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nw-sd-patterns-advanced
Advanced distributed patterns - event sourcing, CQRS, saga, stream processing, append-only log, exactly-once delivery, sequencer, double-entry ledger, erasure coding, order book, watermarks
nWave-ai/nWave 341
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nw-property-based-testing
Property-based testing strategies, mutation testing, shrinking, and combined PBT+mutation workflow for test quality validation
nWave-ai/nWave 341
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nw-legacy-refactoring-ddd
DDD-guided legacy refactoring patterns -- strangler fig, bubble context, ACL migration, 14 tactical/strategic/infrastructure patterns, and incremental monolith-to-microservices methodology
nWave-ai/nWave 341
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nw-buddy-project-reading
How the nWave buddy agent reads a project to answer questions — detection, order of inspection, and citation discipline.
nWave-ai/nWave 341
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nw-user-story-mapping
User story mapping for backlog management and outcome-based prioritization. Load during Phase 2.5 (User Story Mapping) to produce story-map.md and prioritization.md.
nWave-ai/nWave 341
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nw-dor-validation
Definition of Ready checklist criteria, antipattern detection patterns, UAT quality rules, and domain language enforcement for product owner review
nWave-ai/nWave 341