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Nw Continue

Organization
nWave-ai
nw-continue

Detects current wave progress for a feature and resumes at the next step. Scans docs/feature/ for artifacts.

Overview

PublishernWave-ai
RepositorynWave
Skill namenw-continue
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 Continue 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-continue
  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-continue .claude/skills/nw-continue
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Nw Continue 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 Continue 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 Continue 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-CONTINUE: Resume a Feature

Wave: CROSS_WAVE (entry point) | Agent: Main Instance (self — wizard) | Command: /nw-continue

Overview

Scans docs/feature/ for active projects, detects wave artifacts, displays progress summary, launches next wave command. Eliminates manual artifact inspection when returning after hours/days.

You (main Claude instance) run this wizard directly. No subagent delegation.

Behavior Flow

Step 1: Scan for Projects

If project ID provided as argument, use it directly.

Otherwise scan docs/feature/ for project directories:

bash
ls -d docs/feature/*/

No directories found: Display "No active projects found under docs/feature/." Suggest /nw-new. Stop.

Step 2: Project Selection (Multiple Projects)

If multiple directories exist, list by most recent file modification:

bash
find docs/feature/{feature-id}/ -type f -printf '%T@ %p\n' | sort -rn | head -1

Present via AskUserQuestion: project name|last modified date|most recent first. Ask user to select.

Step 3: Wave Progress Detection

Check each wave's artifacts using Wave Detection Rules in ~/.claude/nWave/skills/common/wizard-shared-rules.md.

Step 4: Anomaly Detection

Check before showing progress:

Empty/corrupted artifacts: Verify file size > 0 for each "complete" artifact. If empty, flag: "Warning: user-stories.md exists but is empty (0 bytes). Recommend re-running DISCUSS wave."

Non-adjacent waves (skipped): If artifacts exist for non-consecutive waves (e.g., DISCUSS + DELIVER but no DESIGN/DISTILL), warn with options:

  1. Fill the gap — start from missing wave
  2. Continue as-is
  3. Show all artifacts for manual review

Step 5: DELIVER Progress Detail

If DELIVER in progress, show step-level detail:

  • Read docs/feature/{id}/deliver/execution-log.json — count COMMIT/PASS steps, find first without COMMIT/PASS
  • Read .develop-progress.json if exists: check last failure point
  • Display: "DELIVER in progress: Steps 01-01 through 02-01 complete. Next: 02-02"

Step 6: Progress Display

Feature: {feature-id}

  DISCOVER   ○ not started
  DISCUSS    ● complete
  DESIGN     ● complete
  DISTILL    ◐ in progress
  DELIVER    ○ not started

  Next: DISTILL — Create acceptance tests

Symbols: ● complete | ◐ in progress | ○ not started

Step 7: Recommendation and Launch

Recommend next wave: resume in-progress wave|successor of last complete wave. Show via AskUserQuestion for confirmation. After confirmation, invoke recommended wave command by reading its task file, passing project ID as argument.

Error Handling

ErrorResponse
No docs/feature/ directorySuggest /nw-new
Empty project directorySuggest /nw-new or re-run from DISCUSS
Corrupted artifact (0 bytes)Flag file, recommend re-running that wave
Skipped wavesWarn, offer gap-fill or continue options
Cannot parse execution-log.jsonShow raw file status, suggest manual review

Success Criteria

  • Projects scanned from docs/feature/
  • Project selected (auto or user choice)
  • Wave progress detected accurately from artifact presence
  • Anomalies flagged (empty files, skipped waves)
  • DELIVER step-level progress shown when applicable
  • Progress summary displayed
  • Next wave recommended and launched after user confirmation

Examples

Example 1: Single project, resume at DESIGN

/nw-continue

Wizard finds one project: notification-service. DISCUSS artifacts exist (complete), no DESIGN artifacts. Shows progress, recommends DESIGN. User confirms, wizard launches /nw-design notification-service.

Example 2: DELIVER resume

/nw-continue rate-limiting

Wizard checks rate-limiting project. All waves through DISTILL complete, DELIVER in progress (steps 01-01 through 02-01 done). Shows "Next: step 02-02", launches /nw-deliver "rate-limiting".

Example 3: Multiple projects

/nw-continue

Wizard finds rate-limiting (modified today) and user-notifications (modified 3 days ago). Lists them, user picks rate-limiting. Wizard shows progress and recommends next wave.

Example 4: No projects

/nw-continue

Wizard finds no docs/feature/ directories. Shows "No active projects found" and suggests /nw-new.

Frequently asked questions

What does the Nw Continue AI skill do?

Detects current wave progress for a feature and resumes at the next step. Scans docs/feature/ for artifacts.

Why use Nw Continue on TypingMind?

Because you install it once and use it with any model. Nw Continue 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 Continue in TypingMind?

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

Which AI models can use Nw Continue?

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 Continue?

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

Is the Nw Continue 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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