hn-extractExtract a HackerNews post (article + comments) into single clean Markdown for quick reading or LLM input.
Install via ClawdBot CLI:
clawdbot install guoqiao/hn-extractExtract a HackerNews post (article + comments) into single clean Markdown for quick reading or LLM input.
see Examples
uv installed and in PATH.No install beyond having uv.
Dependencies will be installed automatically by uv into to a dedicated venv when run this script.
When an agent is asked to extract a HackerNews post:
uv run --script ${baseDir}/hn-extract.py -o /tmp/hn-.md .message tool (action=send, filePath="/tmp/hn-.md" , message="Extraction complete. Do you want me to summarize it?").# run as uv script
uv run --script ${baseDir}/hn-extract.py <hn-id|hn-url|path/to/item.json> [-o path/to/output.md]
# Examples
uv run --script ${baseDir}/hn-extract.py 46861313 -o /tmp/output.md
uv run --script ${baseDir}/hn-extract.py "https://news.ycombinator.com/item?id=46861313"-o to print to stdout.-o are created automatically.Generated Mar 1, 2026
Extract HackerNews discussions about new technologies or startups to analyze market trends and competitor sentiment. This helps businesses gather real-time feedback and identify emerging opportunities.
Use the skill to pull and format top HackerNews posts and comments into clean Markdown for automated content feeds. This enables news platforms to quickly integrate user-generated insights without manual editing.
Extract structured discussions from HackerNews to create datasets for fine-tuning LLMs on technical conversations. This supports AI developers in building models that understand niche tech topics.
Monitor HackerNews threads about a company's products by extracting comments into readable formats for analysis. This assists in tracking public perception and addressing user concerns efficiently.
Gather and format HackerNews discussions for studies on information diffusion or social dynamics in tech communities. Researchers can analyze threaded conversations without dealing with raw web scraping.
Offer a subscription-based service that automates HackerNews extraction for marketers and analysts. Users pay monthly for API access or a web interface to generate clean Markdown reports.
Provide a free tier for limited extractions with paid tiers for higher volume and advanced features like summarization. Monetize through API calls and enterprise licenses for large-scale data needs.
License the skill to be embedded in productivity tools like Notion or Slack, enabling users to pull HackerNews content directly into their workflows. Revenue comes from partnership deals and per-user fees.
💬 Integration Tip
Ensure uv is installed and accessible in the agent's environment before running the script to avoid dependency issues.
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