/nw-deliver

name: nw-deliver
description: "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."
user-invocable: true
argument-hint: '[feature-description] - Example: "Implement user authentication with JWT"'

NW-DELIVER: Complete DELIVER Wave Orchestrator

**Wave**: DELIVER (wave 6 of 6)|**Agent**: Main Instance (orchestrator)|**Command**: `/nw-deliver "{feature-description}"`

LANGUAGE CONVENTION FRAME (read FIRST — overrides all examples below)

**Code examples in this skill use Python syntax for illustration only.** They are NOT prescriptive about target language. nWave is language-agnostic per the "genericity and agnosticism" mandate (2026-05-24).

**Before crafting**, detect the target project's language from manifest files: `package.json` → TypeScript/JS; `Cargo.toml` → Rust; `go.mod` → Go; `pyproject.toml`/`setup.py`/`Pipfile` → Python; `pom.xml`/`build.gradle` → Java/Kotlin; `*.csproj`/`*.fsproj` → C#/F#; `Gemfile` → Ruby; `Package.swift` → Swift.

**When the target language is NOT Python**: adapt every code example to target conventions (imports, type system, test-framework idioms, file extensions, directory layout). Project conventions ALWAYS WIN over examples below.

**Empirical anchor**: skill examples being Python-only caused LLM to emit Python code in greenfield TS project. Fix per F-SKILL-EXAMPLES-LANGUAGE-LEAK. Connects [[feedback_language_adapter_plugin_architecture_2026_05_24]].

Overview

Orchestrates complete DELIVER wave: feature description → production-ready code with mandatory quality gates. You (main Claude instance) coordinate by delegating to specialized agents via Task tool. Final wave (DISCOVER > DISCUSS > SPIKE > DESIGN > DEVOPS > DISTILL > DELIVER).

Sub-agents cannot use Skill tool or `/nw-*` commands. You MUST:

• Read the relevant command file and embed instructions in the Task prompt
• Remind the crafter to load its skills as needed for the task (skill files are at `~/.claude/skills/nw-{skill-name}/SKILL.md`)

Output Tiers (per D2)

Provenance: feature `lean-wave-documentation` — D2 (schema-typed sections), D10 (one-line expansion descriptions). Tier-1 [REF] sections (always emitted) + Tier-2 EXPANSION CATALOG items (lazy, on-demand) are the two output bands. Implementation details live in code; the wave-delta sections are pointers + structured summaries. Full contract: `nWave/skills/nw-density-resolution-contract/SKILL.md`.

Tier-1 [REF] — always emitted

Under `## Wave: DELIVER / [REF] <Section>` headings:

• Implementation summary — one-paragraph description of what shipped (no design rationale)
• Files modified — categorized list (production, tests, docs) with one-line per file
• Scenarios green count — `<N> of <M>` from the `.feature` file with timestamp
• DoD check — itemized pass/fail against the DISCUSS Definition of Done items
• Demo evidence — captured stdout/exit-code per Elevator Pitch demo command (Phase 3.5 gate)
• Quality gates — per-phase outcomes (refactor, review, mutation, integrity)
• Pre-requisites — DISTILL scenarios + DESIGN component manifest the implementation depended on

Tier-2 EXPANSION CATALOG — lazy, on-demand (per D10)

Rendered under `## Wave: DELIVER / [WHY|HOW] <Section>` only when requested via `--expand <id>` (DDD-2), the wave-end menu (`expansion_prompt = "ask"`), `mode = "full"` auto-expansion, or an ad-hoc user request mid-session.

| Expansion ID | Tier label | One-line description | |---|---|---| | `refactoring-journal` | [HOW] | L1-L6 refactoring log with rationale per micro-transformation | | `retrospective-notes` | [WHY] | 5 Whys analysis on issues encountered, lessons learned, what to repeat/avoid | | `performance-measurements` | [WHY] | Benchmarks, profiling output, latency/memory deltas vs baseline | | `alternative-implementations-rejected` | [WHY] | Implementation approaches tried and rejected with one-paragraph reason each | | `mutation-testing-report` | [HOW] | Mutmut/Pitest output: kill rate, surviving mutants, mitigation actions | | `architecture-decision-deviations` | [WHY] | Where DELIVER deviated from DESIGN and the back-propagation logged in upstream-issues.md | | `coverage-deltas` | [HOW] | Per-module coverage delta with rationale for any drops | | `expansion-catalog-rationale` | [WHY] | Why this set of expansions, why these defaults, why D10 enforces one-line descriptions |

Density resolution (per D12)

Call `resolve_density(global_config)` from `scripts/shared/density_config.py` after reading `~/.nwave/global-config.json` (missing/malformed = empty dict). Returns `mode` (`"lean"` | `"full"`) + `expansion_prompt` (`"ask"` | `"always-skip"` | `"always-expand"` | `"smart"`) per the D12 cascade (resolver-internal, DDD-5 — do NOT replicate locally). Branch on `density.mode` for what to emit; branch on `density.expansion_prompt` at wave end for menu behaviour. Full cascade detail, branch semantics, ad-hoc override workflow: `nWave/skills/nw-density-resolution-contract/SKILL.md`.

Telemetry (per D4 + DDD-6)

Every expansion choice emits a `DocumentationDensityEvent` (dataclass at `src/des/domain/telemetry/documentation_density_event.py`) via `event.to_audit_event()` → `JsonlAuditLogWriter().log_event(...)`. Schema fields per D4: `feature_id`, `wave`, `expansion_id`, `choice`, `timestamp`. For this wave the schema declares `"wave": "DELIVER"`. Use helper `scripts/shared/telemetry.py:write_density_event(...)` — do NOT write JSONL directly.

Wave-specific signal: a DELIVER wave recording `choice = "expand"` for `retrospective-notes` indicates the team needed deeper learning capture; over time the data drives whether retrospective notes should be promoted to Tier-1. Full emission rules: `nWave/skills/nw-density-resolution-contract/SKILL.md`.

CRITICAL BOUNDARY RULES

1. **NEVER implement steps directly.** ALL implementation MUST be delegated to the selected crafter (@nw-s