其他技能

Opportunity Solution Trees, opportunity scoring, Lean Canvas, JTBD job mapping, and technique selection guide

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JTBD discovery techniques adapted for AI product owner context. Four Forces extraction, job dimension probing, question banks, and anti-patterns for interactive feature discovery conversations.

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Use when a DELIVER roadmap already exists and you need to dispatch exactly one identified step through its TDD cycle. Use nw-roadmap to create the plan, nw-deliver for the whole wave, and nw-continue to resume at the next inferred step.

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JTBD opportunity scoring and prioritization - outcome statement format, opportunity algorithm, scoring interpretation, feature prioritization, and opportunity matrix template

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Definition of Ready checklist criteria, antipattern detection patterns, UAT quality rules, and domain language enforcement for product owner review

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Review dimensions and bug patterns for journey artifact reviews

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Fast-forwards through remaining waves end-to-end without stopping for review between waves.

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Agent safety boundaries - input validation, output filtering, scope constraints, and document creation policy

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TLA+ and PlusCal for specifying distributed system invariants. Decision heuristics for when formal verification adds value, key patterns, state explosion management, and alternatives comparison.

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Toyota 5 Whys methodology with multi-causal branching, evidence requirements, and validation techniques

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Evidence quality validation and decision gate criteria for product discovery reviews

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Kotlin language-specific patterns with Arrow, Raise DSL, and coroutine-based effects

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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

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Requirements quality critique dimensions for peer review - confirmation bias detection, completeness validation, clarity checks, testability assessment, and priority validation

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Structured persona creation and JTBD analysis methodology - persona templates, ODI job step tables, pain point mapping, success metric quantification, and multi-persona segmentation

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JTBD methodology for extracting real jobs behind feature requests — job statements, abstraction layers, first-principles extraction, ODI outcome statements, and opportunity scoring

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Guided wizard to start a new feature. Asks what you want to build, recommends the right starting wave, and launches it.

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Quality dimensions and review checklist for devop reviews

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Scala 3 language-specific patterns with ZIO, Cats Effect, and opaque types

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Haskell language-specific patterns, GADTs, type classes, and effect systems

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Foundational platform engineering knowledge from key references -- Continuous Delivery, SRE, Accelerate, Team Topologies, Chaos Engineering, and Secure Delivery. Load when contextual grounding in platform engineering theory is needed.

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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 concierge — ask any question about methodology, project state, commands, migration, or troubleshooting. Read-only, contextual answers.

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Wave methodology knowledge for the buddy agent — what each wave does, its inputs and outputs, and how to route questions.

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