News For AI
Fetches AI news, daily digests, and searches AI-related content. Outputs structured JSON (clean Markdown text + separated images/videos/links), ready for article writing or analysis.
Setup
pip install -r ${SKILL_DIR}/requirements.txt
Command Selection
Pick the right command based on user intent:
| User intent | Command | Example |
|---|---|---|
| 最新AI新闻/资讯/热点/行业动态 | news |
news --limit 10 |
| AI日报/每日汇总/今日速递 | daily |
daily --limit 3 |
| 查找特定话题/产品/模型/技术 | search |
search "GPT" --type news |
| 新闻+日报一起获取 | all |
all --limit 10 |
CLI Reference
python ${SKILL_DIR}/news_cli.py <command> [options]
Commands and Options
# AI新闻资讯
python ${SKILL_DIR}/news_cli.py news [--limit N] [--no-content]
# AI日报
python ${SKILL_DIR}/news_cli.py daily [--limit N] [--no-content]
# 搜索（关键词必填）
python ${SKILL_DIR}/news_cli.py search "关键词" [--type TYPE] [--limit N] [--no-content]
# --type: news / products / models / mcp / all (default: all)
# 新闻+日报
python ${SKILL_DIR}/news_cli.py all [--limit N] [--no-content]
| Option | Effect |
|---|---|
--limit N |
返回条数，默认 20 |
--no-content |
跳过正文抓取，仅返回标题+摘要（快 20x，适合浏览选题） |
--type TYPE |
搜索范围过滤，仅 search 命令可用 |
Article Writing Workflow
For gathering source material to write AI articles:
- 选题 — 快速扫标题：
news --limit 20 --no-content - 深挖 — 获取选中文章的完整正文+图片+链接：
news --limit 5 - 定向搜索 — 补充特定话题素材：
search "Sora" --type news --limit 3
Output Format
All commands output JSON to stdout, errors to stderr (exit code 1).
news / daily
{
"type": "news",
"timestamp": "2026-03-30 15:00:00 +0800",
"count": 5,
"data": [
{
"id": 26659,
"title": "...",
"description": "摘要...",
"url": "https://...",
"create_time": "2026-03-30 14:52:05",
"pv": 5426,
"content": "正文纯文本（Markdown格式）...",
"images": [{"src": "https://...", "alt": "..."}],
"videos": [{"src": "https://..."}],
"links": [{"text": "...", "href": "https://..."}]
}
]
}
--no-content 模式下 content、images、videos、links 字段不会出现。
search
{
"type": "search",
"keyword": "千问",
"search_type": "all",
"news": {"type": "news", "count": 5, "data": [...]},
"products": {"type": "products", "count": 3, "data": [...]},
"models": {"type": "models", "count": 10, "data": [...]},
"mcp": {"type": "mcp", "count": 1, "data": [...]}
}
For complete field definitions of each item type, see schemas.md.