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Group raw articles by semantic topics, assess wiki value, and recommend actions
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Basé sur la classification professionnelle SOC
| name | semantic-article-grouping |
| description | Group raw articles by semantic topics, assess wiki value, and recommend actions |
Analyze raw newsletter articles and group them by semantic topics for wiki curation.
import os
raw_dir = os.path.expanduser("~/wiki/raw/articles")
files = [(f, os.path.getsize(os.path.join(raw_dir, f)))
for f in os.listdir(raw_dir) if f.endswith('.md') and os.path.getsize(os.path.join(raw_dir, f)) > 1000]
files.sort(key=lambda x: -x[1]) # Largest first
For each article:
Group articles by:
Rate each group for wiki inclusion:
### 📊 Group N: [Topic Name]
**代表トピック:** `[canonical-name]`
| 記事 | 内容 |
|------|------|
| [title] ([size]) | [1-sentence summary] |
**Wiki追加価値:** [rating] - [action recommendation]
processed/ directoryAgentic Engineering (concepts/agentic-engineering/) = 開発者のワークフロー
AI Agent Engineering (concepts/ai-agent-engineering/) = システムアーキテクチャ
Harness Engineering (concepts/harness-engineering/) = 制御・構造化（共通概念）
Agent Team / Swarm (concepts/agent-team-swarm/) = 複数Agent協調・オーケストレーション
When analyzing platform articles, note the architectural approach:
| Dimension | OpenAI | Anthropic |
|---|---|---|
| 実行環境 | マネージドコンテナ提供 | 開発者自前のharness設計 |
| スキル | SKILL.mdバンドル（公式API） | ツール定義（JSON schema） |
| コンテキスト | ネイティブcompaction | 開発者実装 |
| セキュリティ | サイドカーエグレスプロキシ | 開発者責任 |
llm-wiki skill to create/update pageswiki/index.md and wiki/log.mdcd ~/ai-topics-cn && git add wiki/ && git commit -m "wiki: [action]" && git pushActive crawl workflow — reads hot-topics.yaml, selects high-priority un-crawled topics, deep-dives via web search, creates wiki concept pages, and updates tracking
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