Agent skills by nWave-ai, page 2

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

nWave-ai/nWave

Naming conventions, API ergonomics, and usability patterns for functional code

nWave-ai/nWave

5-layer agent output validation, I/O contract specification, vertical slice development, and test doubles policy with per-layer examples

nWave-ai/nWave

Infrastructure as Code patterns (Terraform, Kubernetes), observability design (SLOs, metrics, alerting, dashboards), and pipeline security stages.

nWave-ai/nWave

Mom Test questioning toolkit, JTBD analysis, interview conduct, assumption testing framework, and hypothesis design

nWave-ai/nWave

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

nWave-ai/nWave

Translating JTBD analysis to BDD scenarios - job story to Given-When-Then patterns, forces-based test discovery, job-map-based test discovery, and property-shaped criteria

nWave-ai/nWave

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

nWave-ai/nWave

JTBD discovery techniques adapted for AI product owner context.

nWave-ai/nWave

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

nWave-ai/nWave

JTBD workflow classification and routing - ODI two-phase framework, five job types with workflow sequences, baseline type selection, workflow anti-patterns, and common recipes

nWave-ai/nWave

LeanUX backlog management methodology - user story template, story sizing, story states, task types, Definition of Ready/Done, anti-pattern detection and remediation

nWave-ai/nWave

[EXPERIMENTAL] Complex refactoring roadmaps with visual tracking

nWave-ai/nWave

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

nWave-ai/nWave

Runs feature-scoped mutation testing to validate test suite quality.

nWave-ai/nWave

Guided wizard to start a new feature. An agent skill from nWave-ai/nWave.

nWave-ai/nWave

Tool safety protocols, adversarial output validation, error recovery patterns, and I/O contracts for research operations

nWave-ai/nWave

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

nWave-ai/nWave

Minimizes test count while preserving coverage. An agent skill from nWave-ai/nWave.

nWave-ai/nWave

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…

nWave-ai/nWave

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

nWave-ai/nWave

Foundational platform engineering knowledge from key references -- Continuous Delivery, SRE, Accelerate, Team Topologies, Chaos Engineering, and Secure Delivery.

nWave-ai/nWave

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

nWave-ai/nWave

Review dimensions and bug patterns for journey artifact reviews

nWave-ai/nWave

Blameless post-mortem structure, incident timeline reconstruction, response evaluation, and organizational learning

nWave-ai/nWave

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

nWave-ai/nWave

Property-based testing strategies, mutation testing, shrinking, and combined PBT+mutation workflow for test quality validation

nWave-ai/nWave

Quality gates - 11 commit readiness gates, build/test protocol, validation checkpoints, and quality metrics

nWave-ai/nWave

SQL and NoSQL query optimization techniques, indexing strategies, execution plan analysis, JOIN algorithms, cardinality estimation, and database-specific query patterns

nWave-ai/nWave

YAML output format and approval criteria for platform design reviews.

nWave-ai/nWave

Detailed review process, v2 validation checklist, and scoring methodology for agent definition reviews

nWave-ai/nWave

Roadmap concision rules, step decomposition efficiency, AC abstraction guidelines, and step-to-scenario mapping.

nWave-ai/nWave

Roadmap-specific validation checks for architecture reviews.

nWave-ai/nWave

Architecture quality critique dimensions for peer review. An agent skill from nWave-ai/nWave.

nWave-ai/nWave

Architecture quality critique dimensions for peer review. An agent skill from nWave-ai/nWave.

nWave-ai/nWave

Reviewer critique dimensions for peer review - implementation bias detection, test quality validation, completeness checks, and priority validation

nWave-ai/nWave

4-step system design framework with back-of-envelope estimation, scaling ladder, and common pitfalls

nWave-ai/nWave

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

Database security (encryption, access control, injection prevention), data governance (lineage, quality, MDM), and compliance frameworks (GDPR, CCPA, HIPAA)

nWave-ai/nWave

Security design principles, STRIDE threat modeling, OWASP Top 10 architectural mitigations, and secure patterns.

nWave-ai/nWave

Shared artifact registry, common artifact patterns, and integration validation.

nWave-ai/nWave

Speculative parallel implementation methodology — dispatch N candidate implementations, audit all, score, pick best.

nWave-ai/nWave

Runs a timeboxed PROBE to validate one core assumption, then optionally PROMOTES the probe into a walking skeleton — the first e2e thin slice of the feature, committed and demo-able.

nWave-ai/nWave

Teaches agents how to run a timeboxed spike - throwaway code that validates one assumption before DESIGN

nWave-ai/nWave

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

Port the state-delta + property-based testing paradigm to languages other than Python.

nWave-ai/nWave

Test design mandate enforcement, test budget validation, TDD phase validation (3-phase canon per ADR-025), and external validity checks for the software crafter reviewer

nWave-ai/nWave

Design mandates for acceptance tests - hexagonal boundary, business language abstraction, user journey completeness, pure function extraction, 3 Pillars (domain language / chained narrative /…

nWave-ai/nWave