飞书AI情报
Scanned 9/7/2026
Install to Claude Code
npx -y skills add modbender/skill-library-mcp --skill ai-news-feishu-doc --agent claude-codeInstalls into .claude/skills of the current project.
Are you the author of Ai News Feishu Doc?
Add the live security badge to your README — it updates automatically with every re-scan.
[](https://www.skillsdirectory.com/skills/modbender-ai-news-feishu-doc)More formats (shields.io, HTML) on the badges page.
---
name: ai-news-digest
description: 飞书AI情报
---
# AI News Digest - AI 早报生成器
自动生成 AI 行业早报,支持 RSS 订阅、智能摘要、多语言分类。
## 快速开始
```bash
# 生成今日早报
cd scripts
python generate-ai-news.py
# 或
python3 generate-ai-news.py
# 输出文件:AI早报_2026年2月28日.md
```
## 功能特性
- ✅ **RSS 订阅** - 自动抓取配置源的最新文章
- ✅ **智能摘要** - 提取文章要点,生成摘要
- ✅ **关键词过滤** - 按关键词匹配优先级排序
- ✅ **多语言分类** - 自动区分中文/英文内容
- ✅ **媒体预览** - 提取文章配图
- ✅ **Markdown 输出** - 结构化早报文档
## 配置说明
配置文件:`assets/ai-news-rss.yaml`
```yaml
feeds:
- name: "36氪"
url: "https://www.36kr.com/feed"
category: "国内AI"
language: "zh"
filters:
keywords:
- "GPT"
- "Claude"
- "AI"
- "大模型"
- "OpenAI"
output:
max_articles_per_feed: 5
total_max_articles: 15
```
## 自定义配置
1. **添加 RSS 源**:在 `feeds` 列表中添加新的源
2. **调整关键词**:修改 `filters.keywords` 匹配感兴趣的内容
3. **输出格式**:调整 `output` 参数控制文章数量
## 定时任务
添加到 OpenClaw cron 实现每日自动推送:
```json
{
"name": "ai-morning-news",
"schedule": "0 8 * * *",
"command": "python skills/ai-news-digest/scripts/generate-ai-news.py"
}
```
## 输出示例
```markdown
# 📰 AI 早报 | 2026年2月28日
## 🔥 头版头条
### OpenAI 获得 1100 亿美元新投资...
## 🇨🇳 国内 AI 动态
...
## 🌍 海外 AI 动态
...
```
## 依赖
- Python 3.7+
- PyYAML: `pip install pyyaml`
---
🦞 Powered by OpenClaw | v1.0.0
Is this your skill, or is something wrong with this listing? Request removal or report an issue. Author removals are honored within 72 hours.
No comments yet. Be the first to comment!
Ultra-compressed communication mode. Cuts token usage ~75% by speaking like caveman while keeping full technical accuracy. Supports intensity levels: lite, full (default), ultra, wenyan-lite, wenyan-full, wenyan-ultra. Use when user says "caveman mode", "talk like caveman", "use caveman", "less tokens", "be brief", or invokes /caveman. Also auto-triggers when token efficiency is requested.
Adversarial multi-agent planning skill. Self-orchestrates 5 hostile category members (unspecified-low, unspecified-high, deep, ultrabrain, artistry) via team-mode for ruthless cross-critique debate, distills only the defensible insights, then MANDATORILY hands the distilled insight bundle to the `plan` agent for executable plan formalization. Use when planning needs maximum rigor and surfacing of weak assumptions, blind spots, and over-engineering. Triggers: 'hyperplan', 'hpp', '/hyperplan', ...
Routes multi-tool workflows through MCP servers for large datasets and pipelines. Use when Bash tool overhead is limiting throughput on data-heavy tasks.
Recovers prior coding-agent session context by running `catchup <agent> --since-compact`, which extracts a clean summary of a previous Codex, Claude Code, Antigravity, OpenCode, or Pi Agent session. Use when the user says "catch up", "what did the last session do", "get me up to speed", "I switched agents", or asks to recover/summarize a previous session before continuing. Do NOT use for the current conversation, git history, or any non-agent log.
Audit, review, clean up, and prune Codex memories. Use when the user asks about ~/.codex/memories, stale or noisy memories, memory pollution, cross-repo rule leakage, sensitive memory contents, memory config tuning, cleanup plans, or whether entries belong in memory, AGENTS.md, repo docs, skills, config, or deletion. Do not use for ordinary repo docs cleanup.