Synthesize Hacker News threads into structured knowledge-base cards.
npx skills add https://github.com/Agents2AgentsAI/ata --skill hn-synthesis
Please help me install this Agent Skill. Skill: hn-synthesis Source: https://github.com/Agents2AgentsAI/ata/tree/main/codex-rs/skills/src/assets/research/hn-synthesis Command: npx skills add https://github.com/Agents2AgentsAI/ata --skill hn-synthesis
Hacker News discussions provide practical practitioner signals but extracting and organizing them into structured knowledge cards is manual and time-consuming.
Ask HN to search for a topic and generate a KB card from the top practitioner threads.
High-intent search queries and answers about installing and using this skill.
To extract practitioner signals from Hacker News threads, this Skill uses a discovery subagent to gather discussions and a synthesis subagent to analyze deployment experiences, generating a structured knowledge-base card for easy retrieval.
Organizing Hacker News community signals is achieved by synthesizing top threads into KB-friendly cards. The system identifies topics, evaluates cross-thread sentiment evolution, and persists structured insights directly into your knowledge base.
Yes, you can compare Hacker News tool sentiment across date ranges by specifying them in your query. The synthesis subagent analyzes specified threads to reveal sentiment evolution and common arguments within the generated knowledge-base card.
Generating a knowledge-base card from real-world deployment experiences involves querying Hacker News for a target topic. The Skill discovers relevant threads, synthesizes practitioner signals, and persists consolidated findings into a retrievable KB card.
Synthesizing top Hacker News threads requires no external dependencies. The Skill operates autonomously using an internal multi-agent design that handles thread discovery, cross-thread analysis, and knowledge-base persistence without additional components.
Agents2AgentsAISearch Hacker News threads for a topic, deduplicate by story ID, and rank by relevance.
xg-gh-25Ingest URLs, articles, or text into structured knowledge cards with metadata and tags.
Agents2AgentsAIRead, write, search, update, and reset knowledge cards in a local directory.
JohnnnmaiCollect market signals from web sources into simulation-ready JSON data.
