Skills

Nw Buddy Wave Knowledge

Wave methodology knowledge for the buddy agent, what each wave does, its inputs and...

Install

npx skills add nWave-ai/nWave --skill nw-buddy-wave-knowledge -g -a claude-code -y
Repository
nWave-ai/nWave628
Category
AI and agents
Updated
2mo ago
License
MIT
Context cost
Mediumabout 1,992 tokens
Runs scripts
No, instructions only

What it does

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)

Read the whole SKILL.md on GitHub

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