ai-launch-pipeline

One-click automated pipeline for AI product launch monitoring. Integrates RSS feed monitoring, product info search, page screenshot/snapshot capture, and trend analysis into a single script. Use when running a full AI launch monitoring cycle, generating a trend report from RSS feeds, or executing the blogwatcher workflow end-to-end without manual step-by-step orchestration.

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Install skill "ai-launch-pipeline" with this command: npx skills add terrycarter1985/ai-launch-pipeline

AI Launch Pipeline

Run the full AI product launch monitoring workflow in one command.

Quick Start

bash scripts/ai_launch_pipeline.sh

Output lands in $AI_PIPELINE_WORKSPACE/runs/<timestamp>/ (default: ~/.openclaw/workspace/data/ai-launch-pipeline/runs/).

Pipeline Stages

#StageOutput
1RSS monitoringrss/rss_hits.json — AI launch hits from OpenAI, Anthropic, Google, HuggingFace, DeepSeek feeds
2Product searchsearch/search_results.json — supplementary search results
3Screenshot capturescreenshots/ — text snapshots of hit pages + manifest
4Trend analysistrends/summary.md + trends/trend_report.json — model/org frequency, top signals

Configuration

  • AI_PIPELINE_WORKSPACE — override output root directory
  • Edit the feeds list in Stage 1 to add/remove RSS sources
  • AI keyword filter is in the ai_keywords regex (Stage 1)

Requirements

  • Python 3 (stdlib only — no pip packages needed)
  • Optional: duckduckgo-search CLI for enhanced Stage 2

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