ReddRadar
Topic: agentic-workflow
2,980 skills in this topic.
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nw-spike
Runs a timeboxed spike to validate one core assumption before DESIGN. Use after DISCUSS when the feature involves a new mechanism, performance requirement, or external integration.
nWave-ai/nWave 341
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nw-fp-usable-design
Naming conventions, API ergonomics, and usability patterns for functional code
nWave-ai/nWave 341
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nw-fp-scala
Scala 3 language-specific patterns with ZIO, Cats Effect, and opaque types
nWave-ai/nWave 341
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nw-fp-principles
Core functional programming thinking patterns and type system foundations, language-agnostic
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-stakeholder-engagement
Demonstration preparation, audience-tailored presentations, feedback collection, and business outcome measurement. Load when preparing demos or measuring business value delivery.
nWave-ai/nWave 341
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nw-command-optimization-workflow
Step-by-step workflow for converting bloated command files to lean declarative definitions
nWave-ai/nWave 341
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nw-continue
Detects current wave progress for a feature and resumes at the next step. Scans docs/feature/ for artifacts.
nWave-ai/nWave 341
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nw-database-technology-selection
Database comparison catalogs, RDBMS vs NoSQL selection criteria, CAP/ACID/BASE theory, OLTP vs OLAP, and technology-specific characteristics
nWave-ai/nWave 341
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nw-ddd-event-modeling
Event Modeling facilitation technique — brainstorm events, identify commands and views, define aggregate boundaries, write Given-When-Then specifications
nWave-ai/nWave 341
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nw-ddd-eventsourcing
Event Sourcing and CQRS as DDD implementation patterns — when to use, aggregate event streams, projections, snapshots, sagas, upcasting, conflict resolution
nWave-ai/nWave 341
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nw-ddd-strategic
Strategic DDD — bounded context discovery, context mapping patterns, subdomain classification, ubiquitous language, and organizational alignment
nWave-ai/nWave 341
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nw-stress-analysis
Advanced architecture stress analysis methodology for designing systems that survive unknown stresses. Load when --residuality flag is used or when designing high-uncertainty, mission-critical systems.
nWave-ai/nWave 341
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nw-taste-evaluation
Design taste evaluation framework — DVF primary filter, Apple/Google/Jobs design principles as explicit scoring criteria, weighted decision matrix, and option ranking for the DIVERGE wave
nWave-ai/nWave 341
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nw-distill
Acceptance test creation methodology for the DISTILL wave. Domain knowledge for the acceptance designer agent: port-to-port principle, prior wave reading, wave-decision reconciliation, graceful degradation, and document back-propagation.
nWave-ai/nWave 341
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nw-research
Gathers knowledge from web and files, cross-references across multiple sources, and produces cited research documents. Use when investigating technologies, patterns, or decisions that need evidence backing.
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-rr-critique-dimensions
Critique dimensions and scoring for research document reviews
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-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-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-design
Designs system architecture with C4 diagrams and technology selection. Routes to the right architect based on design scope (system, domain, application, or full stack). Two interaction modes: guide (collaborative Q&A) or propose (architect presents options with trade-offs).
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