discourse

Solid

Scan community discussion channels (HN, Lobsters, Reddit, tech blogs) for experience reports and opinions on a topic. Use when the user wants community perspectives on a technology or approach.

AI & Automation 297 stars 27 forks Updated today MIT

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Quality Score: 93/100

Stars 20%
82
Recency 20%
100
Frontmatter 20%
70
Documentation 15%
38
Issue Health 10%
50
License 10%
100
Description 5%
100

Skill Content

# Discourse Search ## When To Use - Gathering community opinions on a technology or approach - Finding experience reports from HN, Reddit, or Lobsters ## When NOT To Use - Academic research (use `/tome:papers`) - Code examples (use `/tome:code-search`) Scan community channels for discussions on a topic. ## Channels - **Hacker News**: Algolia API at hn.algolia.com - **Lobsters**: WebSearch with site:lobste.rs - **Reddit**: JSON API (append .json to URLs) - **Tech blogs**: WebSearch targeting curated domains ## Workflow 1. Build search URLs/queries per channel using `tome.channels.discourse.*` functions 2. Execute via WebFetch (APIs) or WebSearch (fallback) 3. Parse responses into Finding objects 4. Merge across sources with source attribution

Details

Author
athola
Repository
athola/claude-night-market
Created
6 months ago
Last Updated
today
Language
Python
License
MIT

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