Locates Hacker News discussions and parses structured data using the Algolia API.
npx skills add https://github.com/TeamDay-AI/agents --skill hackernews-teamday-ai
Please help me install this Agent Skill. Skill: hackernews Source: https://github.com/TeamDay-AI/agents/tree/main/skills/teamday/hackernews Command: npx skills add https://github.com/TeamDay-AI/agents --skill hackernews-teamday-ai
Locate relevant Hacker News discussions about AI agents, developer tools, and startup topics using the Algolia API. This capability enables timely engagement opportunities and sentiment monitoring.
Ask the skill to search Hacker News for AI agent discussions and return the top results.
High-intent search queries and answers about installing and using this skill.
To search Hacker News threads for AI agent discussions, the Skill queries the Algolia API using targeted keywords, time windows, and type filters. It then parses results into structured data including title, author, score, age, and URL.
Yes, you can find Show HN and Ask HN posts about developer tools automatically. The Skill identifies high-value threads by applying targeted queries and type filters via the Algolia API to surface relevant engagement opportunities.
The best way to monitor Hacker News sentiment for startup topics is using the Skill to fetch thread content and discussion context. It locates relevant discussions via Algolia and provides concise summaries of community feedback.
No external API keys are required. The Skill operates independently with no dependencies, using the Algolia API internally to locate and parse Hacker News posts and comments into structured data.
To extract Hacker News comments to draft outreach responses, the Skill fetches thread content and discussion context using Algolia. It surfaces relevant comments and provides structured data to inform your engagement strategy.
When searching Hacker News posts, the Skill returns structured data including title, author, score, age, and URL. It parses Algolia API results into these fields alongside a concise human-readable summary of the discussion.
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