Atlas / Skills / nwave-ai / Nw Discuss

Nw DiscussSAFE

skills/nwave-ai/nw-discuss

AI agents that guide you from idea to working code, with you in control at every step.

Verdict
SAFE
Grade
B
Trust score
89 /100
Version
—
Hosts
—
License
MIT
Stars
617
01

Overview

AI agents that guide you from idea to working code, with you in control at every step.

Read from source at commit 1a864ec81cdeOBSERVED · 2026-10-14
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02

What it tells the agent

The instruction file, verbatim from the audited commit — this is the text the model reads, and the surface the audit's instruction layer examines. Quoted here so you can judge it without cloning anything.

---
name: nw-discuss
description: "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."
user-invocable: true
argument-hint: '[feature-name] - Optional: --phase=[jtbd|journey|requirements] --interactive=[high|moderate] --output-format=[md|yaml]'
---

# NW-DISCUSS: Jobs-to-be-Done Analysis, UX Journey Design, and Requirements Gathering

**Wave**: DISCUSS (wave 2 of 6) | **Agent**: Luna (nw-product-owner) | **Command**: `/nw-discuss`

## Overview

Execute DISCUSS wave through Luna's integrated workflow: JTBD analysis|UX journey discovery|emotional arc design|shared artifact tracking|requirements gathering|user story creation|acceptance criteria definition. Luna uncovers jobs users accomplish, maps to journeys and requirements, handles complete lifecycle from user motivations through DoR-validated stories ready for DESIGN. Establishes the acceptance-test foundation.

For greenfield projects (no src/ code, no docs/feature/ history), Luna proposes Walking Skeleton as Feature 0.

## Output Tiers (per D2)

Provenance: feature `lean-wave-documentation` — D2 (schema-typed sections), D10 (one-line expansion descriptions), DDD-7 (DISCUSS pilot wave), D6 (install-time pedagogical prompt). Tier-1 [REF] sections (always emitted) + Tier-2 EXPANSION CATALOG items (lazy, on-demand) are the two output bands. Full contract: `nWave/skills/nw-density-resolution-contract/SKILL.md`.

### Tier-1 [REF] — always emitted

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

- Persona ID — one-line user identifier mapped to the journey
- JTBD one-liner — single-sentence Job-to-be-Done statement
- Locked decisions — D-numbered design decisions with verdicts
- User stories with elevator pitches — every story has Before/After/Decision-enabled triplet
- Acceptance criteria (ACs) — testable, embedded per story
- Definition of Done (DoD) — 9-item checklist
- Out-of-scope — explicit non-goals
- WS strategy — A/B/C/D per Mandate 5
- Driving ports — inbound surfaces (CLI, skill, HTTP)
- Pre-requisites — dependencies on prior waves or features

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

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

| Expansion ID | Tier label | One-line description |
|---|---|---|
| `jtbd-narrative` | [WHY] | Full JTBD analysis: job dimensions (functional/emotional/social), four forces, opportunity scores |
| `persona-narrative` | [WHY] | Extended persona: goals, frustrations, mental model, vocabulary glossary |
| `alternatives-considered` | [WHY] | Decision rationale: alternatives weighed and rejected per locked decision |
| `migration-playbook` | [HOW] | Step-by-step migration guide for users on a prior version |
| `journey-deep-dive` | [HOW] | Full UX journey: emotional arc, shared artifacts registry, error-path map |
| `gherkin-scenarios` | [HOW] | Generated Gherkin scenarios covering happy path and key error paths |
| `reviewer-findings-trace` | [WHY] | R1-R10 reviewer findings chain with verdicts and how each landed in D1-D10 |
| `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"` | `"ask-intelligent"` | `"always-skip"` | `"always-expand"` | `"smart"`) per the D12 cascade (resolver-internal, DDD-5 — do NOT replicate locally). DISCUSS hard default is `lean`+`ask-intelligent` per Decision 4 (2026-04-28). Branch on `density.mode` (lean = Tier-1 only; full = Tier-1 + all Tier-2) and at wave end on `density.expansion_prompt`. Full cascade detail, branch semantics, ad-hoc override workflow: `nWave/skills/nw-density-resolution-contract/SKILL.md`.

### Trigger detection (`ask-intelligent` mode, per Decision 4)

DISCUSS-specific extension on top of the shared contract. When `expansion_prompt = "ask-intelligent"`, evaluate ALL triggers below against the wave artifacts produced so far. Each trigger that fires contributes its suggested expansion to a scoped menu. If NO trigger fires, emit no menu — strict lean output.

| Trigger | Detection criterion | Suggested expansion |
|---------|--------------------|--------------------|
| AC ambiguity | ≥2 user stories share an AC where reasonable readers could disagree on the outcome | `gherkin-scenarios` |
| Cross-context complexity | Feature touches ≥3 bounded contexts (per DDD glossary) OR ≥3 distinct technologies | `alternatives-considered` |
| Multi-stakeholder need | ≥3 distinct personas referenced across the user stories | `persona-narrative` |
| Compliance / regulatory | ACs reference regulatory terms (GDPR, HIPAA, SOX, audit, retention, encryption, PII, data residency) | `migration-playbook` (data migration) OR `journey-deep-dive` (user-facing) |
| WS strategy = D | Walking Skeleton strategy is "Configurable" (env-switching) | `alternatives-considered` |

Menu when 1+ trigger fires: `Suggested expansions for this feature (triggered by: {trigger names}): - {id}: {description} ... Apply? [Y/n/all/none/custom]`. Do NOT show the generic 8-item Tier-2 catalog in `ask-intelligent` mode — only triggered items. Ad-hoc override path ("expand <X>") still works for any catalog item. Telemetry: one event per scoped-menu choice; when NO trigger fires, one `choice = "skip"` event with `expansion_id = "*"` records the silent-lean opportunity.

## Telemetry (per D4 + DDD-6)

Every expansion choice emits a `DocumentationDensityEvent` (dataclass at `src/des/domain/telemetry/documentation_dens
03

Trust audit

SAFEgrade B · trust 89/100 Nothing in the source contradicts what it says it does. Grade A is reserved for packages that have also passed the behavioural sandbox.

LayerWhat it checksResult
L0Provenance & inventoryPASS
L1Static analysis of the codeNA
L2Instruction surface (what it tells the agent)PASS
L3Class-specific surfacePASS
L4Behavioural (sandbox)SKIPPED

What the source does

Filesystem
none-observed
Network
none-observed
Shell
none-observed
Dependencies
pinned
Secrets in source
none-found

Findings (0)

No findings outside the package's declared scope.

Gates applied: no_behavioural_pass.

Audited 2026-10-14 · audit v0.4.1 · source sha 1a864ec81cdefull audit observations/trust-audit/skill/nwave-ai__nw-discuss.json · Report an issue / request a re-scan
04

Audit history

Every audit this skill has had.

DateSourceVerdictGradeScoreChange
2026-10-141a864ec81cdeSAFEB89first audit
05

Questions

What does the Nw Discuss skill do?

AI agents that guide you from idea to working code, with you in control at every step.

Is Nw Discuss safe to install?

The audit found nothing in the source that contradicts what it says it does, and graded it B (89/100). Grade A is held back for packages that have also passed a sandboxed behavioural run, which is why a clean skill reads B.

What can Nw Discuss access on my machine?

The audit observed no filesystem, network or shell use at all in its source.

How current is this page?

The grade is for one exact copy of the source (1a864ec81cde), read on 2026-10-14. The repository is watched, and a new audit runs when it changes — this is the first audit.

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