nw-document

Solid

Creates evidence-based documentation following DIVIO/Diataxis principles. Use when writing tutorials, how-to guides, reference docs, or explanations.

Data & Documents 526 stars 55 forks Updated 1 weeks ago MIT

Install

View on GitHub

Quality Score: 92/100

Stars 20%
91
Recency 20%
90
Frontmatter 20%
70
Documentation 15%
100
Issue Health 10%
50
License 10%
100
Description 5%
100

Skill Content

# NW-DOCUMENT: DIVIO Documentation Creation **Wave**: CROSS_WAVE | **Agent**: Orchestrator (self) **Agents**: Nova (nw-researcher)|Scholar (nw-researcher-reviewer)|Quill (nw-documentarist)|nw-documentarist-reviewer ## Overview Create evidence-based, DIVIO-compliant documentation by orchestrating research and writing phases with peer review at each gate. Cross-wave capability for any nWave phase. ## Context Files Required - .nwave/trusted-source-domains.yaml — Embed inline in researcher prompt - ~/.claude/agents/nw/nw-researcher.md — Extract research methodology - ~/.claude/agents/nw/nw-documentarist.md — Extract DIVIO framework and templates ## Command Syntax ```bash /nw-document [topic] [--type=tutorial|howto|reference|explanation] [--research-depth=overview|detailed|comprehensive|deep-dive] ``` If `--type` omitted, ask user. If `--research-depth` omitted, auto-select: tutorial->overview|howto->detailed|reference->comprehensive|explanation->deep-dive. ## Orchestration Phases Sub-agents have no Skill tool access. Embed all domain knowledge inline in each Task prompt. Read from agent files and config at orchestration time. ``` Phase 1: Research @nw-researcher Phase 1.5: Research Review @nw-researcher-reviewer Phase 2: Documentation @nw-documentarist Phase 2.5: Doc Review @nw-documentarist-reviewer Phase 3: Handoff ``` ### Phase 0: Pre-Flight 1. Validate topic non-empty, type/depth valid if provided 2. If type not specified, present DIVIO sele...

Details

Author
nWave-ai
Repository
nWave-ai/nWave
Created
3 months ago
Last Updated
1 weeks ago
Language
Python
License
MIT

Similar Skills

Semantically similar based on skill content — not just same category