chore: snapshot inspiration-article skill (Mode A/B writing framework, 2026-06-21 baseline)
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templates/inspiration-article-skill.md
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templates/inspiration-article-skill.md
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---
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name: inspiration-article
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description: >
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This skill should be used when the user generates an insight during conversation
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and wants it preserved as a structured Markdown article in the inspiration-collector
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repository. The skill covers writing style (the "穿行" tone: first-person grounded
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narrative, shocked/fatalistic, "不是…是…" constructions, tables for data), file
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naming conventions, the base64-based push workflow to Gitea, and INDEX.md maintenance.
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Trigger phrases include "写成一篇文章", "推送到灵感收集器", "固化到 git", "生成文章",
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"整理成 md", or any request to preserve a philosophical or reflective insight as a
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numbered article.
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agent_created: true
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---
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# Inspiration Article Workflow
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## When to Use
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The user often generates profound insights during conversation — about geography, reading,
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time, self-identity, philosophy. This skill captures the workflow for transforming those
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conversational responses into structured, numbered Markdown articles stored in the
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`fxy/inspiration-collector` Gitea repository.
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## Article Sources (Dual Pipeline — 2026-06-19)
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Inspiration articles enter the pipeline through two distinct gates:
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```
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Gate A: 灵感 → Memos → 日报分析 → 灵感文章
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Signal: User is "hit by something" — a landscape, a conversation, a sudden realization.
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Source: Memos database, daily digest analysis.
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Gate B: 阅读摘录 → 对话讨论 → 灵感文章
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Signal: User shares a book highlight and it sparks extended analysis.
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Source: WeRead highlights/notes, brought into conversation, discussed to depth.
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```
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**Both gates feed the same output system** — numbered article series, INDEX.md classification, Gitea archiving. The dual pipeline means article production is no longer limited by "what hit me today" — reading provides a continuous second feed.
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When a reading highlight sparks a substantial exchange (as opposed to a quick Q&A), recognize it as Gate B material and offer to preserve it as an article.
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### Frontmatter: Source Book Tag (Gate B required)
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Articles from Gate B (reading) MUST carry `source_book` in frontmatter:
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```yaml
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source_book: 《反脆弱》
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```
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Articles from Gate A (inspiration/travel/reflection) do not use this field. This distinction enables per-book indexing — after finishing a book, all articles triggered by it can be compiled into a dedicated index at `ai-insights/book-index/《书名》/`.
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### Book Completion Deliverables
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When the user finishes a book:
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1. **Highlight card compilation** — all highlights from that book, organized by chapter
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2. **Article index** — numbered list + summaries of all inspiration articles tagged with `source_book: 《书名》`
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Storage: `fxy/inspiration-collector` → `ai-insights/book-index/《书名》/`
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## Writing Style
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There are **two valid modes**, corresponding to two different types of insight.
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Both are good. Choose the mode that fits the material.
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---
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### Mode A: 「穿行」— First-Person Grounded Narrative
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**Reference article:** `08_穿行——高铁八小时与地理决定论.md`
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**When to use:** Personal experiences, real-time reflections, the user is living
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through something and thinking about it as it happens. The insight is arriving in
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the moment, not being recollected from a distance.
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**Voice: first person, present in the scene.**
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"I" is the protagonist — "我选了高铁，八小时", "我忽然想到", "我看见了一条河".
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This is not detachment; this is someone in the middle of an experience.
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Occasionally shifts to rhetorical "你" for universal observations — "你往左看它在，
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往右看它还在", "你不会觉得封闭" — but dominant voice is first person.
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**Rhythm: short sentences, short paragraphs.**
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One idea per breath. No filler:
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> 然后我看见了一条河。
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>
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> 那不是关中的河。
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**The "不是…是…" construction is the signature.**
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Negate the conventional assumption, then offer the real reason:
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> 不是因为省钱，也不是怕坐飞机。是我在这五周结束之后，需要一趟完整的穿越。
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> 那不是开放心态，是开放地形。
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**Concrete first, abstraction follows.**
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The river comes before geography. The train window before philosophy. Start with
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an object, a scene, a sensation — the idea emerges from it.
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**Closing loops back to the opening image.**
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"火车在过三门峡了。窗外的塬开始出现了。河重新落了下去。"
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**Structure (Mode A):**
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1. Opening scene — where, when, what was seen
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2. The strike — the instant of being hit
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3. Unfolding — analysis + context + history, **tables** embedded in narrative
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4. The "所以" moment — conclusion drawn back to the concrete
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5. Personal resonance — weave to other things in the user's life
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6. Closing image — return to opening, now carrying the weight of discovery
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---
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### Mode B: 「原来不是所有的地方都有关」— 克制但有穿透力的哲学散文
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**Reference article:** `11_原来不是所有的地方都有关.md`
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**When to use:** When a personal experience triggers a broader philosophical insight.
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The material spans multiple domains — geography, history, personal identity, worldview
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transformation. The article is not just recounting what happened; it's drawing out the
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*meaning* of what happened, connecting it to universal patterns.
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**Core aesthetic: 克制但有穿透力。** 纯抒情极少，多多少少都要带思考。情感不靠
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感叹号释放，靠结构层叠积累。写到最深处，不是呐喊，是一句平静的判断——"它不需要
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你认识它。它只需要你路过它。然后门就开了。"
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**Voice: third-person framing with universal "你".**
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The article refers to the user as "冯先生" or "这个人" in the framing, then shifts to
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"你" for universal truths. This creates distance from the rawness of the moment while
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maintaining intimacy with the insight:
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> "从关中出发的人，看到颍河的第一个反应是'河怎么可以和地面齐平'。颍河边长大的人
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> 看到渭河，反应大概是'河怎么可以在那么深的沟底下'。都是对的。都是被自己脚下的地
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> 教会了什么是'正常'。"
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Not "我被击中了！" — that's Mode A. Instead: "撞破这个'正常'的契机，不是知识，不是
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阅读，不是任何人的劝说。是同一趟火车，同一个位置，同一条没有标识的普通河流。"
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**Structure: numbered sections with clear thematic arcs.**
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Each section uses the format `## N：标题` — a numbered header followed by a
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descriptive title. Never bare numbers (`## 一`). The title distills the section's
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thesis into a short phrase:
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> ## 一：无人审视的维度
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> ## 二：摄像机的位置
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> ## 三："我"的力量与陷阱
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Six numbered sections is the canonical form. Each section carries a distinct weight:
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1. **那条河** — the scene, the strike, the physical moment
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2. **颍河** — what it actually was (tables for 上古/颍川/衣冠南渡/苏东坡)
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3. **宝鸡渭北的冯** — the personal identity twist: "这不是寻根。这是补充。"
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4. **原来不是所有的地方都有关** — the philosophical core: breaking geographic determinism
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5. **完整的弧线** — retrospective: the sequence of events that led here
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6. **四关正在重新合上** — the closing: transformed, carrying the river inside
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**Tone: essay-like, symphonic.**
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Not raw shock (Mode A). Not visceral second-person confrontation (10_颍河). This is
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measured, philosophical, building layer upon layer until the final chord. The emotional
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weight comes from *accumulation*, not from a single strike.
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**The "这不是…这是…" construction applied to worldview.**
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The signature move here is not "this isn't saving money, this is choosing experience"
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(Mode A). It's deeper:
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> "这不是寻根。根在渭北，没动过。这是补充。是天生的缺失，在被一条完全不知道身份
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> 的河，在完全不知情的情况下，一瞬间填上了。"
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> "关中给了闭合。颍河给了一次打开。"
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**The closing transcends.**
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Not "I went back and saw the river again" (Mode A loop). But a philosophical coda:
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> "它不需要你认识它。它只需要你路过它。然后门就开了。"
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> "四关之中的那个宇宙正在重新合上。但这一次，合上之后的世界，不一样了。"
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---
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### Tables (Both Modes)
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Use Markdown tables for structured facts embedded in narrative:
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```
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| 事件 | 位置 | 说明 |
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|:---|:---|:---|
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| 大禹建夏朝 | 禹州 | 中国第一个世袭制朝代 |
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```
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Tables are evidence inside the story, not separate from it.
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### What to Avoid (Both Modes)
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- **Encyclopedia openings** — never "颍河，古称颍水，淮河最大支流" as the first sentence
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- Academic dryness ("由此可见"、"综上所述")
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- Filler transitions ("接下来我们来看...")
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- Evaluative language ("这篇文章写得很好")
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- Flat listing of facts without narrative context
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- Mixing modes mid-article — pick one and stay in it
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## Frontmatter (Every Article)
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Every article MUST include a complete YAML frontmatter block:
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```yaml
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---
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number: 18
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date: 2026-06-19 11:46
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title: 标题
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topics:
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- 个人数字体系
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- 自我认知与成长
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tags:
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- 反脆弱
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- 塔勒布
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- 系统设计
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字数: 2864
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预计阅读时间: 8分钟
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---
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```
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Fields:
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- **number**: sequential article number (NOT per-day, NOT per-date — global incrementing counter). This is the same number used in the filename (`NN_Title.md`).
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- **date**: `YYYY-MM-DD HH:MM` Beijing time
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- **title**: article title (same as `#` heading)
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- **topics**: array of INDEX.md theme categories. Use existing themes, don't invent new ones on the fly.
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- **tags**: array of keywords. Lower-level than topics — specific concepts, authors, techniques. Example: 反脆弱, 塔勒布, 系统设计, 写作方法论
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- **字数**: Chinese character count (approximate, exclude frontmatter)
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- **预计阅读时间**: calculated as 字数 ÷ 400 words/min, rounded to nearest minute
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All fields are required. No article ships without complete metadata.
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## File Workflow
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### Naming
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Articles live in the inspiration-collector repo under:
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```
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ai-insights/daily/YYYY-MM-DD/NN_Title.md
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```
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Where `NN` is a sequential zero-padded number within the day (00, 01, 02...).
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### Pushing to Gitea
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All pushes use the base64-based transfer pattern to avoid SSH heredoc escaping issues:
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```bash
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# 1. Write article locally
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Write: C:\Users\32779\WorkBuddy\Claw\.workbuddy\outputs\NN_Title.md
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# 2. Base64 encode and push
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B64=$(base64 -w0 "C:/Users/32779/WorkBuddy/Claw/.workbuddy/outputs/NN_Title.md")
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ssh ubuntu@43.163.225.30 "echo '$B64' | base64 -d > /home/ubuntu/inspiration-collector/ai-insights/daily/YYYY-MM-DD/NN_Title.md"
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# 3. Commit and push
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cd /home/ubuntu/inspiration-collector
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git add ...
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git commit -m "daily: YYYY-MM-DD NN_Title"
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git push
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```
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### INDEX.md Update
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After each article, update `INDEX.md`:
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1. Read the existing INDEX.md
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2. Add the article under ALL applicable themes (it may belong to multiple)
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3. Format: `- [NN_Title](path) — YYYY-MM-DD · one-line-summary`
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4. Update the "最后更新" timestamp
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5. Commit and push
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Follow `INDEX_RULES.md` for classification:
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- Read article full text before classifying (at least 2000 chars)
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- When unsure, leave blank rather than force a category
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- Cross-theme articles get multiple entries
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- New themes only when >=3 articles point in the same direction
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### Daily Log Update
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After pushing, append a brief entry to the workspace daily log:
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```
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C:\Users\32779\WorkBuddy\Claw\.workbuddy\memory\YYYY-MM-DD.md
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```
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## Quick Reference
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| Resource | Location |
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| Inspiration repo | `fxy/inspiration-collector` on Gitea |
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| Articles directory | `ai-insights/daily/YYYY-MM-DD/` |
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| Index file | `INDEX.md` (repo root) |
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| Index rules | `INDEX_RULES.md` (repo root) |
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| SSH key | `C:/Users/32779/Desktop/ssh_new.pem` |
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| Server | `ubuntu@43.163.225.30` |
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Reference in New Issue
Block a user