AI Launch Pipeline

这是端到端的AI产品发布监控自动化工作流，分RSS监控、产品搜索富集、截图、趋势分析四阶段，可一键全流程运行或单独执行单阶段，也可跳过截图环节。用户只需配置RSS源，即可获取AI新品发布的原始数据、富集信息、页面截图及包含关键词、机构趋势的分析报告，适合需跟踪AI行业发布动态、分析趋势的场景，支持定时调度自动运行。

terrycarter1985

热度 31.62

最近更新 2026-05-12 04:36:47

分类：自动化依赖：代码执行 / 联网浏览搜索 / 读写文件应用场景：自动化脚本 / 数据处理 / 报告撰写 / 工作流 ...

安装技能

复制下面的话术发给你的 Agent，它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill： npx secure-skills-cli add ai-launch-pipeline

Metadata

name: ai-launch-pipeline
description: One-click automated pipeline for AI product launch monitoring — RSS monitoring, product search enrichment, screenshot capture, and trend analysis
version: 1.0.0
author: ClawdBot
tags: ["rss","ai","product-launches","pipeline","automation","monitoring","trends"]
requires_bins: ["python3"]
requires_env: []
requires_config: ["config/rss_feeds.yaml"]

AI Launch Pipeline

One-click end-to-end workflow for monitoring AI product launches. Runs four stages in sequence: RSS monitoring → product search → screenshot capture → trend analysis.

Quick Start

# Full pipeline (one click)
python scripts/run_pipeline.py

# Skip screenshot stage (no Playwright needed)
python scripts/run_pipeline.py --skip-screenshot

# Run a single stage
python scripts/run_pipeline.py --stage rss
python scripts/run_pipeline.py --stage search
python scripts/run_pipeline.py --stage screenshot
python scripts/run_pipeline.py --stage analysis

Stages

#	Stage	What it does	Output
1	RSS Monitor	Fetches configured RSS feeds, detects new AI launch posts	`data/raw_launches.json`
2	Product Search	Enriches each launch with DuckDuckGo search results	`data/enriched_launches.json`
3	Screenshot	Captures full-page screenshots of product pages (optional)	`screenshots/*.png`, `data/screenshot_results.json`
4	Trend Analysis	Identifies keywords, top organizations, source distribution	`analysis/trends.json`, `analysis/launch_analysis_report.md`

Configuration

Edit config/rss_feeds.yaml to add or remove RSS feeds:

feeds:
  - name: OpenAI Blog
    url: https://openai.com/blog/rss.xml
    category: llm

Environment Variables

Variable	Default	Description
`PIPELINE_BASE_DIR`	skill root	Base directory for all outputs
`PIPELINE_DATA_DIR`	`{BASE}/data`	JSON data output directory
`PIPELINE_SCREENSHOT_DIR`	`{BASE}/screenshots`	Screenshot output directory
`PIPELINE_ANALYSIS_DIR`	`{BASE}/analysis`	Analysis report directory
`PIPELINE_CONFIG`	`config/rss_feeds.yaml`	RSS feed config path

Dependencies

Python 3.10+
PyYAML — pip install pyyaml
Playwright (optional, for screenshots) — pip install playwright && playwright install chromium

Output

After a full run:

data/
  raw_launches.json          # Stage 1 output
  seen_ids.json              # Dedup state
  enriched_launches.json     # Stage 2 output
  screenshot_results.json    # Stage 3 output
screenshots/
  *.png                      # Captured screenshots
analysis/
  trends.json                # Structured trend data
  launch_analysis_report.md  # Human-readable report

Scheduling

Pair with OpenClaw cron for automated daily runs:

# Add via cron tool
schedule: { kind: "cron", expr: "0 8 * * *" }
payload: { kind: "agentTurn", message: "Run the AI launch pipeline: python ~/.openclaw/skills/ai-launch-pipeline/scripts/run_pipeline.py --skip-screenshot, then summarize the analysis report." }