🎁 Get the FREE AI Skills Starter GuideSubscribe →
BytesAgainBytesAgain
🦀 ClawHub

Ai Cv Weekly

by @llx9826

Pluggable AI report engine generating multi-preset, multi-source briefings with smart scoring, deduplication, LLM editing, quality control, rendering, and em...

Versionv4.0.0
Downloads524
TERMINAL
clawhub install lunaclaw-brief

📖 About This Skill

🦞 LunaClaw Brief — OpenClaw Skill

Pluggable AI-Powered Report Engine | 插件化 AI 智能简报引擎

Overview / 概述

LunaClaw Brief is an OpenClaw Skill that generates intelligent reports across multiple domains. It features a plugin architecture with 8-stage pipeline, 8 data sources, 7 editor strategies, hybrid intent routing, streaming output, and multi-channel delivery.

LunaClaw Brief 是一个 OpenClaw Skill,支持多领域智能报告生成。采用插件化架构,8 阶段管线,8 个数据源,7 种编辑器策略,混合意图路由,流式输出,多渠道推送。

Presets / 预设

| Preset | Type | Description | |--------|------|-------------| | ai_cv_weekly | Tech | AI/CV/多模态技术深度周报 | | ai_daily | Tech | AI 技术日报 | | finance_weekly | Finance | 金融投资周报 | | finance_daily | Finance | 金融快报日刊 | | stock_a_daily | Stock | A 股日报(大盘/板块/北向资金/IPO/异动) | | stock_hk_daily | Stock | 港股日报(恒生/南向资金/中概股/IPO) | | stock_us_daily | Stock | 美股日报(S&P/NASDAQ/科技巨头/IPO) | | Custom | Any | via --create-preset natural language |

Data Sources / 数据源

| Source | Coverage | |--------|----------| | github | Open-source projects + competitor discovery | | arxiv | Academic papers | | hackernews | Tech community discussions | | paperswithcode | ML papers with code | | finnews | Financial news (HN + BBC/NYT RSS) | | yahoo_finance | Yahoo Finance RSS + market indices | | eastmoney | 东方财富 (A-share news, IPO calendar) | | xueqiu | 雪球 (hot stocks, sentiment) |

Usage / 使用方式

Via CLI

python run.py                                    # AI/CV Weekly (default)
python run.py --preset stock_a_daily             # A-share daily
python run.py --hint "今天A股怎么样"               # Auto-route → stock_a_daily
python run.py --hint "帮我看看腾讯和阿里"          # LLM auto-route
python run.py --preset ai_cv_weekly --email      # Generate + email
python run.py --create-preset "我是新能源基金经理"  # Create custom preset
python -m brief.scheduler                        # Run scheduled jobs

Via OpenClaw Skill API

from run import generate_report

result = generate_report({ "preset": "stock_hk_daily", "hint": "重点关注腾讯和美团", "send_email": True, })

Trigger Phrases / 触发短语

  • "生成周报" / "生成日报" / "generate weekly/daily"
  • "生成金融周报/日报" / "generate finance report"
  • "生成A股/港股/美股日报" / "generate A-share/HK/US brief"
  • Key Capabilities / 核心能力

  • Hybrid Intent Router: Regex (instant) + LLM classification (fallback) for preset routing
  • Unified Markdown Schema: ## Section### N. ItemLabel:🦞 Claw: structure
  • Streaming Output: pipeline.run_stream() yields progress events + content chunks
  • Multi-Channel Delivery: Email (SMTP), Webhook (Slack/DingTalk/Feishu/custom)
  • Cron Scheduler: Auto-generate reports on schedule with multi-channel push
  • Custom Presets: Create domain-specific presets via natural language
  • Quality Control: Auto-check structure/word count, retry if below threshold
  • Historical Dedup: Content fingerprinting with configurable time window
  • Architecture / 架构

    | Pattern | Where | |---------|-------| | Adapter | BaseSource → 8 source adapters | | Strategy | BaseEditor → 7 editor strategies | | Pipeline | 8-stage ReportPipeline (sync + stream) | | Registry | @register_source / @register_editor decorators | | Observer | MiddlewareChain for timing, metrics, custom hooks | | Factory | create_sources() / create_editor() | | Cache | FileCache with TTL for API responses |

    Configuration / 配置

    Global config in config.yaml. Secrets in config.local.yaml (gitignored).

    # config.local.yaml (not committed)
    llm:
      api_key: "your-key"
    

    Auto-detects OpenClaw environment (OPENCLAW_API_KEY / OPENCLAW_BASE_URL) — no manual LLM config needed when running as an OpenClaw skill.

    Output / 输出

  • HTML: Self-contained dark-theme report with embedded Luna logo
  • Markdown: Raw LLM output
  • PDF: Via WeasyPrint (optional)
  • Email: HTML body + PDF attachment
  • Webhook: Slack/DingTalk/Feishu/custom HTTP POST

  • *Built by llx & Luna 🐱 — where the claw meets the code.* 🦞