Atlas / Skills / nwave-ai / Nw Buddy Wave Knowledge

Nw Buddy Wave KnowledgeSAFE

skills/nwave-ai/nw-buddy-wave-knowledge

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

# Wave Methodology Knowledge

The nWave methodology organizes work into a canonical sequence of **waves**. Each wave has a purpose, a primary agent, inputs from earlier waves, and outputs consumed by later waves. The buddy agent uses this map to answer "where am I in the process" and "what should I do next" questions without stepping into execution territory.

## The canonical wave sequence

```
DISCOVER -> DISCUSS -> SPIKE(opt) -> DESIGN -> DEVOPS -> DISTILL -> DELIVER
```

Each wave has a slash command (`/nw-<wave>`) and a primary agent. Waves run top-to-bottom. Skipping waves is a smell; going back to revise an earlier wave is normal and expected. SPIKE is optional — include it when validating a new mechanism, performance requirement, or external integration.

## Wave-by-wave reference

### 1. DISCOVER

- **Purpose**: validate that an opportunity exists and is worth pursuing.
- **Primary agent**: product-discoverer.
- **Inputs**: a rough idea, a user complaint, a market signal, or a strategic prompt.
- **Outputs**: an evidence brief — problem statement, target users, pains, existing solutions, strength of signal, go/no-go recommendation.
- **Typical artifacts**: `docs/discover/<opportunity>-brief.md`, user interview notes, competitive scans.
- **Common questions**: "is this worth doing?", "who has this problem?", "what's the evidence?"

### 2. DISCUSS

- **Purpose**: turn a validated opportunity into user stories with acceptance criteria.
- **Primary agent**: product-owner.
- **Inputs**: DISCOVER output — validated problem and target users.
- **Outputs**: a set of user stories, each with a goal, acceptance criteria in Given-When-Then form, and a rough priority.
- **Typical artifacts**: `docs/discuss/<feature>-stories.md`, a backlog update.
- **Common questions**: "what does 'done' look like for this feature?", "what are the user stories?"

### 3. SPIKE (optional)

- **Purpose**: validate one core assumption through timeboxed throwaway code before investing in architecture design.
- **Primary agent**: software-crafter.
- **Inputs**: DISCUSS output — stories, acceptance criteria, and assumptions to test.
- **Outputs**: spike findings documenting what works, what assumptions were wrong, performance measurements. Code is discarded.
- **Typical artifacts**: `docs/feature/<name>/spike/findings.md`, throwaway code (not committed).
- **Common questions**: "will this mechanism work?", "can we hit the performance budget?", "does the third-party API behave as expected?"
- **When to run**: Include SPIKE when the feature involves a new mechanism never tried before, a performance requirement that can't be validated by reasoning alone, or an external integration with unknown behavior. Skip for pure refactoring, bug fixes, or features < 1 day.
- **Duration**: max 1 hour, timeboxed.

### 4. DESIGN

- **Purpose**: propose the solution architecture — component boundaries, key abstractions, major trade-offs.
- **Primary agent**: solution-architect.
- **Inputs**: DISCUSS output — stories and acceptance criteria. SPIKE findings (if spike was run) — validated assumptions and performance constraints.
- **Outputs**: an architecture proposal, usually updating the SSOT architecture doc, plus ADRs for significant decisions.
- **Typical artifacts**: `docs/architecture/architecture-design.md` updates, `docs/adrs/ADR-NNN-<title>.md`, diagrams.
- **Common questions**: "how will this be built?", "what are the components?", "what are the boundaries?"

### 5. DEVOPS

- **Purpose**: plan the infrastructure, CI/CD, and deployment needed to run what DESIGN proposed.
- **Primary agent**: platform-architect.
- **Inputs**: DESIGN output.
- **Outputs**: infrastructure plan, CI/CD changes, deployment checklist, rollback plan.
- **Typical artifacts**: updated CI workflow files, IaC changes, runbooks.
- **Common questions**: "how do we ship this?", "what does CI need?", "what's the rollback plan?"

### 6. DISTILL

- **Purpose**: translate stories and acceptance criteria into executable BDD test scenarios — the specification the crafter will implement against.
- **Primary agent**: acceptance-designer.
- **Inputs**: DISCUSS stories and DESIGN architecture.
- **Outputs**: `tests/acceptance/` files with Given-When-Then scenarios, tagged with `@skip` initially, plus a roadmap of delivery steps.
- **Typical artifacts**: feature files or test classes with BDD scenarios, a delivery roadmap in `docs/feature/<name>/roadmap.md`.
- **Common questions**: "what are the test scenarios?", "what's the delivery plan?"

### 7. DELIVER

- **Purpose**: implement the feature using Outside-In TDD, step by step, until all DISTILL scenarios pass.
- **Primary agent**: software-crafter.
- **Inputs**: DISTILL output — scenarios and roadmap.
- **Outputs**: working, tested, committed code.
- **Typical artifacts**: commits following the TDD 3-phase canon (RED -> GREEN -> COMMIT, ADR-025 2026-05-07; legacy 5-phase PREPARE -> RED_ACCEPTANCE -> RED_UNIT -> GREEN -> COMMIT preserved for pre-2026-05-07 audit-log replay), updated tests, updated source files.
- **Common questions**: "is this feature done?", "what step are we on?", "is the test suite green?"

## Cross-wave agents

Some agents operate across waves:

- **researcher** — gathers evidence for any wave that needs it.
- **troubleshooter** — diagnoses problems in existing code or processes.
- **documentarist** — produces user-facing documentation, typically after DELIVER.
- **visual-architect** — produces diagrams to support DESIGN.

Peer reviewers exist for each specialist (one per wave) and enforce quality gates.

## Routing questions to the right wave

When a user asks something, the buddy identifies which wave owns the question and answers from that wave's artifacts. Examples:

| Question | Wave | Where to read |
|---|---|---|
| "Is 
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-buddy-wave-knowledge.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 Buddy Wave Knowledge skill do?

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

Is Nw Buddy Wave Knowledge 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 Buddy Wave Knowledge 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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