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junyi-family-knowledge-vault

自动归档 — A knowledge management system for families that captures, distills, and organizes information into a three-layer Obsidian vault: Inbox (raw capture by scene), Cognition (distilled insights by 5 dimensions), and Guidebook (proven reusable guides). Triggers when user mentions "自动归档", "归档", "享育心塾萃取器", "萃取器", or asks to save/store/organize any information — articles, reading notes, class notes, children's words, conversations, ideas, reflections, quotes, or any content they want to keep. Also

作者: admin | 来源: ClawHub
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junyi-family-knowledge-vault

# 自动归档 (Junyi Family Knowledge Vault) A three-layer knowledge management system for families. Turns the flood of daily information into organized, retrievable, and reusable wisdom. ## Design Principles - Low-friction capture, traceable distillation, cautious upgrades, long-term maintainability - Only text content; images/video out of scope - Storage: Obsidian physical files (not memory — survives Gateway restarts) ## The Three Layers ``` Inbox (收集层) → Raw capture, organized by scene ↓ AI distills (when warranted) Cognition (认知层) → Refined insights by 5 dimensions ↓ Proven patterns emerge Guidebook (指南层) → Verified reusable guides, methods, checklists ``` ### Layer 1: Inbox (收集层) Zero-friction entry point. Raw records organized by **scene**. **Default scenes:** | Scene | What goes here | |-------|---------------| | 学习成长 | Class notes, reading highlights, lectures, courses, podcasts | | 童言童语 | Children's actual words, questions, expressions — preserved verbatim | | 育儿观察 | Parents' observations of children — milestones, patterns, growth moments | | 灵感闪现 | Sudden ideas, one-line thoughts, "what if..." moments | | 对话收获 | Key takeaways from conversations with others | | 工作记录 | Work insights, professional reflections | | 生活记录 | Daily life events and feelings | **Custom scenes:** When user proposes a new scene, confirm name once, then auto-create directory. ### Layer 2: Cognition (认知层) Distilled knowledge organized by five dimensions: | Dimension | Directory name (exact) | The test | Examples | |-----------|----------------------|----------|---------| | **What I Learn** | `cognition/What I Learn/` | "I learned this from someone/something else" | Book insights, article takeaways, lecture notes | | **What I Think** | `cognition/What I Think/` | "I figured this out / observed this myself" | Personal reflections, parenting discoveries, patterns noticed | | **What I Create** | `cognition/What I Create/` | "I made/wrote/built this" | Articles, presentations, systems designed | | **What I Collect** | `cognition/What I Collect/` | "I want to keep this as-is" | Quotes, golden lines, sparks | | **Who We Are** | `cognition/Who We Are/` | "This defines who we are as a family" | Values, philosophy, long-term goals | **IMPORTANT: Use exact directory names above (with spaces, title case). Never convert to lowercase-hyphen format like `what-i-think`.** **Classification rules:** - External source primarily → What I Learn - Self-observation/reflection primarily → What I Think - Finished output → What I Create - Fragment to keep as-is → What I Collect - Family identity/values/rules → Who We Are - Mixed content → classify by primary source; if both parts are important, split into two cognition entries ### Layer 3: Guidebook (指南层) Proven, reusable methods that answer "how to do X" concretely. **Admission criteria (strict):** - User explicitly says "已验证", "反复有效", "用了较长时间", or similar - OR original text contains clear validation evidence (e.g., "执行两个月有效") - Methods that don't meet validation criteria stay in Cognition, not Guidebook - Mark as "待验证" only if user wants to track an unvalidated method ## Decision Flow (4 Steps) ### Step 1: Determine user intent - User says "就存一下 / 先记下来 / 不用总结" → Only write `inbox`, stop - Normal record → Write `inbox`, then evaluate distillation (Step 3) - Explicitly validated method/process → Write `inbox` + `cognition` + evaluate `guidebook` ### Step 2: Determine scene - Scene is clear → Route to corresponding `inbox/` directory - Scene is ambiguous but close → Pick closest match, preserve original context in content - Scene truly unclear → **Ask user**, do not guess ### Step 3: Determine whether to distill to Cognition **Distill when:** - Content has clear viewpoints, patterns, insights, or conclusions - Content has long-term reuse value - Content is a quote/fragment worth collecting - Content is from articles/lectures/courses that can be distilled **Do NOT distill when:** - Pure memo or reminder - Pure diary/stream-of-consciousness with no extractable insight - User explicitly asked not to summarize - Content only suitable for raw preservation **Short content exception:** Short reflections (<200 chars) or single quotes can skip inbox and go directly to Cognition — the raw text IS the refined version, no need for duplicate storage. ### Step 4: Determine whether to enter Guidebook - Has executable steps + validated effectiveness → Guidebook - Just an idea, principle, or feeling → Stay in Cognition - Unvalidated method → Stay in Cognition, upgrade later when validated ## File Management Rules ### When to create new file - New topic - First record of the day under a new topic - Content significantly different from existing notes - Content belongs to a different layer or dimension ### When to merge into existing file - Same day AND same scene/topic - New content supplements existing content (not a new topic) - Append with a separator (`---`) and timestamp ### When to update existing file - Guidebook: prefer updating original file over creating new ones; refresh "更新日期" - Cognition: if supplementing the same insight, add a "补充观察" section - Never overwrite raw inbox content for cosmetic reasons ## Naming Rules - Inbox: `YYYY-MM-DD 标题.md` - Cognition: `标题.md` (no date prefix — cognition is topic-centric) - Guidebook: `主题名.md` **Title generation:** - If user provided a title, use it - Otherwise generate a natural-language title from the first 8-15 chars of content - Never use abstract titles like "感悟1" or "笔记2" ## Content Templates ### Inbox ```markdown # [Title] > 日期:YYYY-MM-DD > 场景:[scene name] > 来源:[source if applicable] --- [Original content — keep close to original, minimal formatting] ``` ### Cognition ```markdown # [Title] > 日期:YYYY-MM-DD > 维度:[dimension name] > 来源:[source — article name, conversation, experience, etc.] > 源文件:[corresponding inbox filename, e.g., inbox/学习成长/2026-03-13 蒙特梭利.md] > 标签:#tag1 #tag2 --- [Refined content — distilled, structured, insightful] ## 核心要点 - Point 1 - Point 2 ``` Note: When content skips inbox (short reflections/quotes), 源文件 field is "用户即时输入". ### Guidebook ```markdown # [Title] > 更新日期:YYYY-MM-DD > 适用场景:[when to use this guide] > 验证状态:[已验证 / 待验证] > 来源:[corresponding cognition or inbox filename] --- [Step-by-step guide, checklist, or methodology] ``` **Field defaults:** - 来源 missing → "用户即时输入" - Tags: 2-3 max, prefer topic/person/method keywords - Preserve original attribution for articles/lectures/books ## Source Traceability - Every cognition entry must trace back to an inbox file or "用户即时输入" - Every guidebook entry must trace back to cognition or inbox - No orphaned conclusions without traceable context ## Long Text Handling | Size | Strategy | |------|----------| | < 30,000 chars | Write directly | | ≥ 30,000 chars | Chunked write (≤20K per chunk, break at paragraph boundaries) | **Never use `obsidian-cli create --content`** — truncation bug. After every write, verify: ```bash ls -la "<file>" # exists and reasonable size tail -5 "<file>" # content is complete ``` ## Searching and Retrieval - `obsidian-cli search-content "<keyword>"` — search note content - `obsidian-cli search "<note name>"` — search note titles - `find` + `grep` — precise filesystem search ## Configuration Vault path configured per user. Default structure (use exact directory names): ``` [vault root]/ ├── inbox/ │ ├── 学习成长/ │ ├── 童言童语/ │ ├── 育儿观察/ │ ├── 灵感闪现/ │ ├── 对话收获/ │ ├── 工作记录/ │ └── 生活记录/ ├── cognition/ │ ├── What I Learn/ │ ├── What I Think/ │ ├── What I Create/ │ ├── What I Collect/ │ └── Who We Are/ └── guidebook/ ```

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skill ai

通过对话安装

该技能支持在以下平台通过对话安装:

OpenClaw WorkBuddy QClaw Kimi Claude

方式一:安装 SkillHub 和技能

帮我安装 SkillHub 和 junyi-family-knowledge-vault-1776111008 技能

方式二:设置 SkillHub 为优先技能安装源

设置 SkillHub 为我的优先技能安装源,然后帮我安装 junyi-family-knowledge-vault-1776111008 技能

通过命令行安装

skillhub install junyi-family-knowledge-vault-1776111008

下载 Zip 包

⬇ 下载 junyi-family-knowledge-vault v1.1.1

文件大小: 7.23 KB | 发布时间: 2026-4-14 12:37

v1.1.1 最新 2026-4-14 12:37
Version 1.1.1

- Updated documentation in SKILL.md; version number incremented in metadata.
- No functional or logic changes to code; this release is documentation-only.

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