133 lines
3.7 KiB
Markdown
133 lines
3.7 KiB
Markdown
---
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name: my-world
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description: >
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One-shot context loader for the content-forge Obsidian vault. Loads projects,
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topics, drafts, knowledge graph, and current priorities into context.
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USE WHEN: User wants to see what's in the vault, check pipeline status,
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or start a session with full context awareness. Trigger phrases: 加载上下文、
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vault 状态、我的世界、what's in my vault、load context、show pipeline。
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DON'T USE WHEN:
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- User wants to CREATE new content → use write-article instead.
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- User wants to ANALYZE existing content deeply → use dao-analysis instead.
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- User wants to REVIEW a draft → use multi-review instead.
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- User wants to IMPORT an external file → use import-draft instead.
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- User says "写文章"、"分析"、"审查" → not this skill (read-only context loading only).
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---
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# /my-world — Load My World
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Load the entire content-forge vault context into the current session in one shot.
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## 路由规则（Use when / Don't use when）
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Use this skill when:
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- Session 开始时需要加载 vault 全量上下文
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- 需要查看当前 pipeline 状态（哪些选题/草稿/审核中）
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- 需要了解知识图谱状态（orphans, dead ends, unresolved links）
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- 用户说"加载上下文"、"vault 状态"、"我有什么在做"
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Do NOT use this skill when:
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- 用户想**写新文章** → use `write-article`
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- 用户想**分析/拆解**内容 → use `dao-analysis`
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- 用户想**审查**草稿质量 → use `multi-review`
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- 用户想**导入**外部文件 → use `import-draft`
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Edge cases:
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- "帮我看看 vault 里有什么" → **this skill**（查看 = context loading）
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- "写一篇关于 XX 的文章" → **not this skill**（创作 = write-article）
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- "分析一下我的草稿" → **not this skill**（分析 = dao-analysis 或 multi-review）
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## What It Does
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1. Read vault stats (file count, tags, recent activity)
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2. Scan all active content (topics, drafts, in-review)
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3. Map the knowledge graph (backlinks, wikilinks, orphans)
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4. Surface current priorities and blockers
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5. Present a concise world-view summary
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## Important: Vault Directory
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All `obsidian` CLI commands must run from within the vault directory to auto-detect the vault:
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```bash
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cd /home/kang/apps/content-forge/content-forge
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```
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Run all subsequent commands after this `cd`. The `vault=` parameter is unreliable; directory-based detection is the correct approach.
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## Execution Steps
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### Step 1: Vault Health
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```bash
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cd /home/kang/apps/content-forge/content-forge
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obsidian vault
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obsidian files total
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obsidian tags counts sort=count
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```
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### Step 2: Active Content Pipeline
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Scan each pipeline stage for active items:
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```bash
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obsidian files folder="00-inbox"
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obsidian files folder="01-topics"
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obsidian files folder="02-drafts"
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obsidian files folder="03-review"
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obsidian files folder="04-published"
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```
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For each file found, read its frontmatter to extract `title`, `status`, `content_type`, `channels`:
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```bash
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obsidian properties path="<file-path>"
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```
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### Step 3: Knowledge Graph
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```bash
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obsidian orphans
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obsidian deadends
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obsidian unresolved
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```
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### Step 4: Recent Activity
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```bash
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obsidian recents
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```
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### Step 5: Summarize
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Present a concise summary in this format:
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```
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=== My World ===
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Vault: content-forge (X files, Y tags)
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Pipeline:
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inbox: N items
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topics: N items (list titles)
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drafts: N items (list titles + status)
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review: N items (list titles)
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published: N items total
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Knowledge Graph:
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Orphans: N (notes with no incoming links)
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Dead ends: N (notes with no outgoing links)
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Unresolved: N (broken [[wikilinks]])
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Recent: (last 5 files touched)
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Priorities:
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- (inferred from draft/review status and recency)
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```
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## Output
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A structured world-view that gives full context for the session. No files are written — this is read-only.
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