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nWave.ai

@nWave-ai

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Skills (151)

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Core JTBD theory and job story format - job dimensions, job story template, job stories vs user stories, 8-step universal job map, outcome statements, and forces of progress

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nWave-ai/nWave621Updated Sep 16, 2026

DDD-guided legacy refactoring patterns -- strangler fig, bubble context, ACL migration, 14 tactical/strategic/infrastructure patterns, and incremental monolith-to-microservices methodology

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nWave-ai/nWave621Updated Sep 16, 2026

Platform design review critique dimensions and severity levels. Load when reviewing CI/CD pipelines, infrastructure, deployment strategies, observability, or security designs.

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nWave-ai/nWave621Updated Sep 16, 2026

Enhanced Mikado Method for complex architectural refactoring - systematic dependency discovery, tree-based planning, and bottom-up execution

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nWave-ai/nWave621Updated Sep 16, 2026

Review dimensions and bug patterns for journey artifact reviews

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nWave-ai/nWave621Updated Sep 16, 2026

Cross-agent collaboration protocols, workflow handoff patterns, and commit message formats for TDD/Mikado/refactoring workflows

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nWave-ai/nWave621Updated Sep 16, 2026

Step-by-step workflow for converting bloated command files to lean declarative definitions

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nWave-ai/nWave621Updated Sep 16, 2026

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.

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nWave-ai/nWave621Updated Sep 16, 2026

Orchestrates the full DELIVER wave end-to-end (roadmap > execute-all > finalize). Use when all prior waves are complete and the feature is ready for implementation.

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nWave-ai/nWave621Updated Sep 16, 2026

7 agentic design patterns with decision tree for choosing the right pattern for each agent type

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nWave-ai/nWave621Updated Sep 16, 2026

Canonical AT completeness gate — research-anchored 7-category taxonomy (C1-C7) + 15-item mechanical checklist. Paradigm-neutral. Drives acceptance-designer reviewer verdict deterministically.

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nWave-ai/nWave621Updated Sep 16, 2026

Review criteria for the nw-diverger-reviewer — validates JTBD rigor, research quality, option diversity, taste application correctness, and recommendation coherence in DIVERGE wave artifacts

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nWave-ai/nWave621Updated Sep 16, 2026

Creates evidence-based documentation following DIVIO/Diataxis principles. Use when writing tutorials, how-to guides, reference docs, or explanations.

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nWave-ai/nWave621Updated Sep 16, 2026

BDD patterns for acceptance test design - Given-When-Then structure, scenario writing rules, pytest-bdd implementation, anti-patterns, and living documentation

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nWave-ai/nWave621Updated Sep 16, 2026

Generates 3-5 divergent design directions through JTBD analysis, competitive research, structured brainstorming, and taste evaluation before convergence. Use when the team has a validated problem but hasn't chosen a solution approach.

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nWave-ai/nWave621Updated Sep 16, 2026

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.

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nWave-ai/nWave621Updated Sep 16, 2026

Conducts Jobs-to-be-Done analysis, UX journey design, and requirements gathering through interactive discovery. Use when starting feature analysis, defining user stories, or creating acceptance criteria.

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nWave-ai/nWave621Updated Sep 16, 2026

4-phase discovery workflow with decision gates, phase transitions, success metrics, and state tracking

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nWave-ai/nWave621Updated Sep 16, 2026

Question-first approach to understanding user journeys. Load when starting a new journey design or when the discovery phase needs deepening.

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nWave-ai/nWave621Updated Sep 16, 2026

Generates C4 architecture diagrams (context, container, component) in Mermaid or PlantUML. Use when creating or updating architecture visualizations.

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nWave-ai/nWave621Updated Sep 16, 2026

Designs CI/CD pipelines, infrastructure, observability, and deployment strategy. Use when preparing platform readiness for a feature.

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nWave-ai/nWave621Updated Sep 16, 2026

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.

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nWave-ai/nWave621Updated Sep 16, 2026

Evaluation criteria and scoring for data engineering artifact reviews

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nWave-ai/nWave621Updated Sep 16, 2026

Rollback procedures, risk assessment, pre/post-deployment validation, and contingency planning. Load when orchestrating deployment or preparing rollback plans. For deployment strategy details (canary, blue-green, rolling), see `cicd-and-deployment` skill.

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nWave-ai/nWave621Updated Sep 16, 2026

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