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docs(spec): plugin settings redesign — tabbed UI, skill manager, feature toggles, vector DB panel
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docs/superpowers/specs/2026-05-12-plugin-settings-redesign.md
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docs/superpowers/specs/2026-05-12-plugin-settings-redesign.md
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# Plugin Settings Redesign — Tabbed Settings + Feature Toggles
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> **Date:** 2026-05-12 | **Research ref:** Claudian + obsidian-skills-manager
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## Architecture
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```
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Settings → PaperForge
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┌─────────────────┬───────────────────────────────┐
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│ [安装] │ [功能] │
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├─────────────────┼───────────────────────────────┤
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│ Python 路径 │ Skills │
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│ PaddleOCR Key │ ├─ 系统技能 (per-agent dir) │
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│ Zotero 数据目录 │ │ ├─ 开关: toggle frontmatter│
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│ Agent 平台 │ │ ├─ 更新: GitHub semver │
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│ Agent Config路径 │ │ └─ 冻结: 锁版本 │
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│ ... │ └─ 用户技能 (自定义目录) │
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│ │ └─ 开关: toggle frontmatter│
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│ │ │
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│ │ Memory Layer │
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│ │ ├─ FTS5 搜索 │
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│ │ ├─ agent-context │
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│ │ └─ reading-log │
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│ │ │
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│ │ 向量数据库 │
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│ │ ├─ 开关: 启用/禁用 │
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│ │ ├─ 模式: 本地 • API │
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│ │ ├─ 本地: [安装模型] + 模型名 │
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│ │ └─ API: API Key │
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└─────────────────┴───────────────────────────────┘
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```
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## Tab Implementation
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Follow Claudian pattern: custom tab bar with class-toggle, all content divs exist in DOM simultaneously.
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```typescript
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// PaperforgeSettingsTab.ts
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type SettingsTabId = 'setup' | 'features';
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// -- render() --
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// 1. Tab bar
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const tabBar = containerEl.createDiv({ cls: 'paperforge-settings-tabs' });
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const tabButtons = new Map<SettingsTabId, HTMLElement>();
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const tabContents = new Map<SettingsTabId, HTMLElement>();
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// 2. For each tab: create button + content div
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for (const [id, label] of [['setup','安装'], ['features','功能']]) {
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const btn = tabBar.createEl('button', { cls: 'paperforge-settings-tab', text: label });
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btn.addEventListener('click', () => switchTab(id)); // toggles --active class
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tabButtons.set(id, btn);
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const content = containerEl.createDiv({ cls: 'paperforge-settings-tab-content' });
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tabContents.set(id, content);
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}
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// 3. Render each tab
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renderSetupTab(tabContents.get('setup'));
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renderFeaturesTab(tabContents.get('features'));
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// 4. Activate default tab
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switchTab(this.activeTab);
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```
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CSS: `.paperforge-settings-tab-content { display: none; }` `.paperforge-settings-tab-content--active { display: block; }`
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## Section 1: Skills Management
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### System Skill Detection
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Scan vault-local agent skill directories (from `AGENT_SKILL_DIRS` mapping):
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```
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{vault}/.opencode/skills/literature-qa/SKILL.md
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{vault}/.opencode/skills/literature-logging/SKILL.md (new)
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{vault}/.claude/skills/literature-qa/SKILL.md
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{vault}/.codex/skills/literature-qa/SKILL.md
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...
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```
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Each skill identified by `SKILL.md` frontmatter:
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```yaml
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name: literature-qa
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description: 学术文献库操作
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version: 1.5.5
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source: PaperForge/paperforge
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```
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### UI per skill row
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```
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┌─────────────────────────────────────────────────────┐
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│ [✓] literature-qa v1.5.5 [更新] [冻结] │
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│ 学术文献库操作：精读、问答、检索 │
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├─────────────────────────────────────────────────────┤
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│ [✓] literature-logging v1.0.0 [更新] [冻结] │
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│ 阅读日志与工作日志管理 │
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└─────────────────────────────────────────────────────┘
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```
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- **开关** (`[✓]`): 写入 `SKILL.md` frontmatter `disable-model-invocation: true/false`（obsidian-skills-manager 同款方式）
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- **更新**: GitHub API `GET /repos/LLLin000/PaperForge/releases?per_page=25` → semver 比对 → 有新版显示 `[更新]` 按钮 → 重新下载 skill 文件
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- **冻结**: 写入 plugin `data.json` → `frozen_skills: { "literature-qa": true }` → 冻结后不显示更新提示
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### User Skill Detection
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```
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{vault}/.claude/skills/ (可配置路径)
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```
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User skills identified by `SKILL.md` frontmatter field `source: user` (or no `source` field). Features:
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- **开关**: same `disable-model-invocation` toggle
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- **无更新/冻结功能**
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### Source attribution
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Frontmatter discriminator for system vs user:
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```yaml
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# System skill
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source: paperforge # → managed by plugin, has update button
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# User skill
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source: user # → toggle only, no update
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# (or no source field) # → treated as user
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```
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## Section 2: Feature Toggles
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Memory Layer features as simple Obsidian toggles in plugin `data.json`:
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| Key | Default | Effect |
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|-----|---------|--------|
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| `features.fts_search` | `true` | `paperforge memory build` 是否创建 FTS 索引 |
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| `features.agent_context` | `true` | 是否允许 `agent-context` 命令 |
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| `features.reading_log` | `true` | 是否启用 paper_events 表 |
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| `features.vector_db` | `false` | 是否启用向量检索模块 |
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When a feature is disabled, the corresponding CLI command returns a clear error message.
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## Section 3: Vector Database
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```
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┌─────────────────────────────────────────┐
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│ 向量数据库 [启用] │
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│ │
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│ 模式: ● 本地 ○ API │
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│ │
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│ 本地模型: all-MiniLM-L6-v2 │
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│ 模型大小: 80 MB │
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│ 状态: ● 已安装 / ○ 未安装 │
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│ [安装模型] │
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│ [重新安装] │
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│ │
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│ API Key: ┌─────────────────────────────┐│
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│ │ sk-... ││
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│ └─────────────────────────────┘│
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│ 模型: text-embedding-3-small │
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└─────────────────────────────────────────┘
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```
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Implementation notes:
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- Model installation: `pip install sentence-transformers` + trigger model download
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- Model path: stored in `data.json` under `features.vector_db.model_path`
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- API: uses existing `.env` PaddleOCR Key pattern, add `VECTOR_API_KEY`
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- `pip install` is async — show progress bar
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## Data Storage
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All toggles in plugin `data.json`:
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```json
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{
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"features": {
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"fts_search": true,
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"agent_context": true,
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"reading_log": true,
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"vector_db": false
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},
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"vector_db_mode": "local",
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"vector_db_model": "all-MiniLM-L6-v2",
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"vector_db_api_key": "",
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"frozen_skills": {
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"literature-qa": false
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}
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}
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```
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Skill disable state in `SKILL.md` frontmatter (standard Agent Skills spec):
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```yaml
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disable-model-invocation: true
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```
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