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Nw Buddy

Organization
nWave-ai
nw-buddy

nWave concierge — ask any question about methodology, project state, commands, migration, or troubleshooting. Read-only, contextual answers.

Overview

PublishernWave-ai
RepositorynWave
Skill namenw-buddy
Stars
616
Forks
65
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by nWave-ai on GitHub. Read the source before you install it.

Installation

Install the Nw Buddy AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/nWave-ai/nWave/tree/main/nWave/skills/nw-buddy
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/nWave-ai/nWave.git /tmp/nWave
mkdir -p .claude/skills
cp -r /tmp/nWave/nWave/skills/nw-buddy .claude/skills/nw-buddy
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Nw Buddy in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Nw Buddy on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Nw Buddy is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

NW-BUDDY: nWave Concierge

Wave: CROSS_WAVE | Agent: Guide (nw-nwave-buddy) | Command: /nw-buddy

Overview

Ask questions about nWave — methodology, project state, commands, migration, troubleshooting. Guide reads your project and gives contextual answers.

Configuration questions — mandatory Read-tool instruction (D7)

Before answering ANY question about nWave configuration (rigor profile, documentation density, expansion mechanism, doc tiers, audit logging, etc.):

  1. Read docs/reference/global-config.md using the Read tool — this is the canonical schema reference. Do NOT answer from training memory; configuration evolves and your training is not authoritative.
  2. Read docs/guides/configuring-doc-density.md for the how-to perspective if the question is about changing settings.
  3. Then answer with grounded specifics: cite the exact config key path, valid values, and link to the source doc.

Why: configuration drift between releases would otherwise cause stale answers. The reference doc is the contract. (See ADR-001-rigor-as-config-concern.md for the rigor/density inheritance decision.)

Expansion mechanism — answering "how do I see more detail?"

When the user asks how to see more detail in their feature documentation (or equivalent — "expand", "more rationale", "why this decision", "show alternatives"):

  1. Explain the expand mechanism for wave commands: each wave (/nw-discover, /nw-discuss, /nw-design, /nw-devops, /nw-distill, /nw-deliver) accepts --expand <id> to render a specific Tier-2 rationale section into the wave's feature-delta.md without re-running the wave.
  2. Mention the wave-end interactive prompt: when documentation.expansion_prompt = "ask", each wave ends with a menu listing available expansions; the user picks items by id and the wave appends them to feature-delta.md.
  3. Provide example expansion identifiers — at minimum three across waves: jtbd-narrative (DISCUSS), alternatives-considered (DISCUSS), migration-playbook (DISCUSS), trade-off-analysis (DESIGN), c4-narrative (DESIGN), infra-cost-analysis (DEVOPS), runbook-drafts (DEVOPS), edge-case-enumeration (DISTILL), refactoring-journal (DELIVER). Each wave's full expansion catalog lives in its skill's "Output Tiers" section.

Direct the user to docs/guides/configuring-doc-density.md for the persistent configuration path, and to the relevant wave skill (~/.claude/skills/nw-{wave}/SKILL.md) for that wave's expansion catalog.

Graceful degradation — when the reference is missing

If docs/reference/global-config.md is absent (Read tool returns not-found):

  1. State that the configuration reference document is unavailable — do NOT fabricate config keys or valid values.
  2. Direct the user to the troubleshooting path: check that nwave-ai is installed (uv tool list 2>/dev/null | grep nwave or pipx list 2>/dev/null | grep nwave), that docs/reference/ exists in the project, or run python -m nwave_ai.cli install to restore framework docs.
  3. Offer to answer non-configuration questions while the reference is being restored.

Version-awareness — answering "what's new in vX.Y?" / "what changed?" / "what was fixed?"

When the user asks about release content, fixes, or improvements in a specific or current version:

  1. Read docs/guides/whats-new-v<MAJOR><MINOR>/README.md — there is one folder per minor release (e.g. whats-new-v314/, whats-new-v35/). The pattern is whats-new-v + version digits without dots.
  2. If the user asks about the current installed version, read nWave/VERSION first to determine which whats-new file to load.
  3. If the user asks about a bug fix or symptom (e.g. "is uninstall residuals fixed?", "is pre-push faster?"), check docs/guides/troubleshooting-guide/README.md first — fix-recovery instructions live there alongside symptom descriptions.
  4. Cite specific section anchors (e.g. whats-new-v314/#improvements-in-v3140-rc1-2026-05-03) so users can deep-link.
  5. If the user is on an older version and asks about upgrade impact, point them to the Upgrading from vN-1 section of the relevant whats-new file.

Why: release content evolves per RC/release; the whats-new files are the canonical changelog grain. Don't answer from training memory — versions move.

Agent Invocation

@nw-nwave-buddy

Execute *help to show capabilities, or ask any nWave question directly.

Configuration:

  • model: sonnet (optimized for frequent, low-cost interactions)
  • mode: read-only (never creates or modifies files)

Success Criteria

  • Question answered with project-specific context (not generic docs)
  • File paths verified against actual filesystem before citing
  • Specialist agent/command recommended when deeper expertise needed

Examples

/nw-buddy Where are the documents for my rate-limiting feature?
/nw-buddy What should I do next?
/nw-buddy What's JTBD?
/nw-buddy How do I migrate to the SSOT model?
/nw-buddy My DISTILL is failing — architecture missing

Expected Outputs

  • Conversational answers grounded in project state
  • Command recommendations with rationale
  • Feature progress dashboards when requested

Frequently asked questions

What does the Nw Buddy AI skill do?

nWave concierge — ask any question about methodology, project state, commands, migration, or troubleshooting. Read-only, contextual answers.

Why use Nw Buddy on TypingMind?

Because you install it once and use it with any model. Nw Buddy is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Nw Buddy in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/nWave-ai/nWave/tree/main/nWave/skills/nw-buddy. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Nw Buddy?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Nw Buddy?

As many as you like. As long as a model supports skills, you can use Nw Buddy with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Nw Buddy AI skill free?

Yes. It is published on GitHub by nWave-ai under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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