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feat: fix scroll spy, theme toggle, and remove trailing slashes
- Fix paper page scroll spy using IntersectionObserver for stable tracking - Remove global scroll-behavior: smooth to prevent scroll fighting - Convert TOC items from anchor links to buttons - Enable class-based dark mode for Tailwind v4 with next-themes - Remove trailing slashes from URLs (trailingSlash: false) - Add paper revision history, mermaid diagrams, and various improvements Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
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.claude-plugin/marketplace.json

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{
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"name": "ai-dlc",
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"owner": {
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"name": "The Bushido Collective",
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"url": "https://thebushido.co"
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},
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"metadata": {
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"description": "AI-DLC methodology for iterative AI-driven development with hat-based workflows, completion criteria, and automatic context preservation.",
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"version": "1.1.0"
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},
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"plugins": [
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{
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"name": "ai-dlc",
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"description": "AI-DLC methodology - iterative AI-driven development with hat-based workflows, completion criteria, and automatic context preservation",
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"source": "./",
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"category": "Pattern",
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"keywords": [
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"ai-dlc",
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"methodology",
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"workflow",
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"iteration",
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"completion-criteria",
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"hat-switching",
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"context-preservation",
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"human-ai-collaboration"
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]
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}
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]
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}

.claude-plugin/plugin.json

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{
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"name": "ai-dlc",
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"version": "1.1.0",
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"description": "AI-DLC 2026 methodology - iterative AI-driven development with hat-based workflows, completion criteria, and automatic context preservation",
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"description": "AI-DLC methodology - iterative AI-driven development with hat-based workflows, completion criteria, and automatic context preservation",
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"author": {
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"name": "The Bushido Collective",
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"url": "https://thebushido.co"

.claude/settings.json

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{
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"enabledPlugins": {
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"core@han": true,
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"bushido@han": true,
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"markdown@han": true
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},
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"extraKnownMarketplaces": {
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"han": {
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"source": {
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"source": "github",
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"repo": "thebushidocollective/han"
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}
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}
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}
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}

README.md

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# AI-DLC
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AI-DLC 2026 methodology plugin for Claude Code. Provides iterative AI-driven development with convention-based artifacts, hat-based workflows, and automatic context preservation.
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AI-DLC methodology plugin for Claude Code. Provides iterative AI-driven development with convention-based artifacts, hat-based workflows, and automatic context preservation.
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## Overview
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- **Completion criteria enable autonomy** - Clear criteria = less human oversight needed
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- **Artifacts are memory** - Intent and progress persist in committed files
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> **Learn More:** Read the full [AI-DLC 2026 Paper](https://ai-dlc.dev/papers/ai-dlc-2026) for the complete methodology, including runbooks for reimagining the SDLC, roles, and adoption paths.
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> **Learn More:** Read the full [AI-DLC Paper](https://ai-dlc.dev/papers/ai-dlc-2026) for the complete methodology, including runbooks for reimagining the SDLC, roles, and adoption paths.
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## Installation
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## Learn More
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### The AI-DLC 2026 Paper
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### The AI-DLC Paper
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This plugin implements the [AI-DLC 2026 methodology](https://ai-dlc.dev/papers/ai-dlc-2026). The paper covers:
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This plugin implements the [AI-DLC methodology](https://ai-dlc.dev/papers/ai-dlc-2026). The paper covers:
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- Core principles and philosophy
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- Operating modes (HITL, OHOTL, AHOTL)

bun.lock

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bunfig.toml

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[install]
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# Use npm-style flat node_modules for Next.js compatibility
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node-linker = "hoisted"

commands/methodology.md

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## Name
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`jutsu-ai-dlc:methodology` - Get answers about the AI-DLC 2026 methodology.
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`jutsu-ai-dlc:methodology` - Get answers about the AI-DLC methodology.
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## Synopsis
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## Description
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**User-facing command** - Ask questions about the AI-DLC 2026 methodology without bloating your main context window.
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**User-facing command** - Ask questions about the AI-DLC methodology without bloating your main context window.
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This command spawns a **research agent** that reads the AI-DLC paper and runbooks to answer your question. The agent's research stays in its own context, returning only the concise answer to you.
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Use the Task tool to spawn an Explore agent with this prompt:
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```
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Research the AI-DLC 2026 methodology to answer this question: {question}
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Research the AI-DLC methodology to answer this question: {question}
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Sources to consult (in order of relevance):
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1. The AI-DLC 2026 paper: website/content/papers/ai-dlc-2026.md
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1. The AI-DLC paper: website/content/papers/ai-dlc-2026.md
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2. Runbooks in: website/content/papers/ai-dlc-2026/runbooks/
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3. The jutsu-ai-dlc plugin: jutsu/jutsu-ai-dlc/
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han-plugin.yml

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# jutsu-ai-dlc - AI-DLC 2026 Methodology Plugin
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# jutsu-ai-dlc - AI-DLC Methodology Plugin
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#
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# Provides iterative AI-driven development workflow with:
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# - Hat-based role switching

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