Coding & Dev Tools

compozy Bundle

Go production discipline for Compozy. Use when writing or editing non-test Go files under cmd or internal, including config, logging, CLI, concurrency, and process-lifecycle paths. Do not use for Go tests; pair it with the narrower schema, contract, cleanup, or network skill when those domains apply.

compozy Bundle

Go test-shape discipline for Compozy. Use when writing or editing *_test.go under cmd or internal after test placement is justified. Do not use for non-Go tests, fixture-only changes, or as a replacement for eng-consolidate-test-suites.

compozy Bundle

Use when adding, moving, reviewing, or auditing tests in Compozy to identify the invariant, owning layer, and canonical suite before changing coverage. Do not use as a replacement for framework-specific testing skills or final verification gates.

compozy Bundle

Contract co-ship for Compozy wire changes. Use when editing public DTOs, OpenAPI, JSON-RPC extension shapes, generated clients, or handler request/response semantics. Do not use for internal Go refactors or test-only changes that leave the wire contract unchanged.

compozy Skill

Default cost/complexity routing table for the batuta conductor. Read at bootstrap as a starting point, validated against the live provider catalog, then stored as the per-workspace loop configuration; the stored workspace override is authoritative afterwards.

nwave-ai Skill

Evaluates and revises Request S/M/L and delivery choices from evidence, then uses DES steps to deliver it.

nwave-ai Skill

Go property-based testing with rapid and gopter frameworks

nwave-ai Skill

Rust language-specific patterns, compiler-verified exhaustive ADTs, and Result/Option as railway-oriented programming

nwave-ai Skill

JVM property-based testing with jqwik, ScalaCheck, and ZIO Test frameworks

nwave-ai Skill

Rust property-based testing with proptest, quickcheck, and bolero frameworks

nwave-ai Skill

.NET property-based testing with FsCheck, CsCheck, and fsharp-hedgehog frameworks

nwave-ai Skill

Evidence-led orchestration for maximizing delivery throughput with independent fan-out, one heavy local box, and concise whole-value evidence.

nwave-ai Skill

Haskell property-based testing with QuickCheck and Hedgehog frameworks

nwave-ai Skill

DDD architect design-time mandates — the Fixture-Fanout Enumeration Mandate for shared-substrate per-caller migration (enumerate production callers plus fixture sites plus atomic bundle scope, mechanically enforced) that both the ddd-architect and its reviewer load by name

nwave-ai Skill

TypeScript language-specific patterns with fp-ts/Effect, discriminated unions, and railway-oriented error handling

nwave-ai Skill

KNOWLEDGE — caveman-native authoring house style + by-construction guarantees (Reasoning Mandate injection, measured-gain compression). Reference for create/migrate; no sequence.

nwave-ai Skill

FP code-design SSOT — the WHAT-to-design catalog (algebra-driven design, domain modelling with types, railway/error-track isolation) shared by the solution architect (design-time) and the functional crafter (execution-time).

nwave-ai Skill

OO code-design SSOT — the WHAT-to-design anti-smell catalog (Object Calisthenics, RPP smell taxonomy, effect isolation) shared by the solution architect (design-time) and the crafter (execution-time).

nwave-ai Skill

TypeScript/JavaScript property-based testing with fast-check framework and arbitraries

nwave-ai Skill

PROCEDURE — optimize one requested existing skill. Measures multi-trigger, duplication, and resident-context debt before editing; preserves its name as the lean core and behavioral projections.

nwave-ai Skill

Erlang/Elixir property-based testing with PropEr, PropCheck, and StreamData frameworks

nwave-ai Skill

PROCEDURE — optimize a bloated command file to a lean declarative definition (forge.md pattern). Trigger: a command file over its size target with reducible content.

nwave-ai Skill

Authors or reviews one value-side, source-blind expectation charter when EXAMINE applies.

nwave-ai Skill

Architecture quality critique dimensions for peer review. Load when performing architecture document reviews.

nwave-ai Skill

The default test-writing paradigm for unit + acceptance tests - property-based + state-delta mandate, the applicability matrix, the debt-payoff efficacy curve, and the delta-first trigger/bypass rules for state-mutating code

nwave-ai Skill

Turn a stable layer claim (domain, application, adapter, or infrastructure) into a construction boundary so the invalid state cannot be built, and state honestly what remains unguarded. Use when a requirement says an invalid state or transition must not occur, when values need a canonical form, or when a rewrite/cache/optimisation must preserve meaning. Complements nw-fp-domain-modeling, which shows the encodings; this decides whether to encode, how strong the claim really is, and what obligation is left over.

nwave-ai Skill

Reads and reconciles durable product, architecture, and platform authorities before DISTILL compiles an executable oracle.

nwave-ai Skill

Port-to-port acceptance criteria + the Architecture of Reference (port-class → test treatment) + the Project Infrastructure Policy (concrete mechanism per port) + the walking-skeleton canonical definition and not-applicable exemptions. Consult while classifying a port's test treatment and the concrete mechanism for this codebase.

nwave-ai Skill

KNOWLEDGE — use when choosing resident, map-only, or on-demand context.

nwave-ai Skill

Coverage-preserving consolidation patterns applied in order - parametrize-collapse, dict-iteration, fixture-scope, xdist-group, migration-collapse lifecycle, cross-tier dedup, single-lifecycle consolidation, state-delta cross-ref

nwave-ai Skill

Decision rule matching test SHAPE to the right paradigm before authoring/migrating - closed-world vs multi-step-setup vs state-mutation vs unbounded-invariant vs few-examples, plus the falsifier-gate that blocks PBT on finite domains

nwave-ai Skill

The v2.8+ new-command installation contract - which three files to produce and their frontmatter when creating a brand-new command

nwave-ai Skill

What is reducible in a bloated command - the duplication triangle, the anti-pattern catalog, and the compress/never-compress rules

nwave-ai Skill

KNOWLEDGE — use when adding data, declaring inputs, or choosing a join key.

nwave-ai Skill

Scenario-design mandates for acceptance tests — Hexagonal Boundary Enforcement (drive through driving ports, never internals), Business Language Abstraction (three abstraction layers), User Journey Completeness, Pure Function Extraction Before Fixtures, Algebraic Analysis Before the Scenario (name the law, find its narrowest surface, declare every gated input, prove the scenario can fail), the 3 Pillars style backbone, and Walking Skeleton Strategy. Consult while shaping or judging a scenario's boundary, language, journey completeness, and fixture strategy. Canonical definitions; SSOT for these mandates.

nwave-ai Skill

How to size and categorize a command, the declarative command template, and the WHAT-vs-HOW logic-placement rule