Topic: ai
10,359 skills in this topic.
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nw-buddy-wave-knowledge
Wave methodology knowledge for the buddy agent — what each wave does, its inputs and outputs, and how to route questions.
nWave-ai/nWave 341
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nw-fp-clojure
Clojure language-specific patterns, data-first modeling, REPL-driven development, and spec
nWave-ai/nWave 341
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nw-ab-critique-dimensions
Review dimensions for validating agent quality - template compliance, safety, testing, and priority validation
nWave-ai/nWave 341
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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-bdd-requirements
BDD requirements discovery methodology - Example Mapping, Three Amigos, conversational patterns, Given-When-Then translation, and collaborative specification
nWave-ai/nWave 341
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nw-sd-framework
4-step system design framework with back-of-envelope estimation, scaling ladder, and common pitfalls
nWave-ai/nWave 341
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nw-outcome-kpi-framework
Outcome KPI definition methodology - synthesizes Who Does What By How Much (Gothelf/Seiden), Running Lean (Maurya), and Measure What Matters (Doerr) into a practical framework for measurable outcome KPIs
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-fp-haskell
Haskell language-specific patterns, GADTs, type classes, and effect systems
nWave-ai/nWave 341
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nw-design-methodology
Apple LeanUX++ design workflow, journey schema, emotional arc patterns, and CLI UX patterns. Load when transitioning from discovery to visualization or when designing journey artifacts.
nWave-ai/nWave 341
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nw-query-optimization
SQL and NoSQL query optimization techniques, indexing strategies, execution plan analysis, JOIN algorithms, cardinality estimation, and database-specific query patterns
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-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-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-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-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-pbt-stateful
Stateful property-based testing patterns, model-based testing, and anti-patterns
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-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-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-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-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-rr-critique-dimensions
Critique dimensions and scoring for research document reviews
nWave-ai/nWave 341
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exa-research
Use when researching products, finding academic papers, discovering competitors, reading webpage content, or getting cited answers grounded in real web sources. Use over generic search when semantic relevance matters.
BlockRunAI/blockrun-mcp 381