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Scans HN, Lobsters, Reddit, and tech blogs for community experience reports. Use when gathering practitioner opinions on a technology or approach.

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Works withReddit

Run score Not tested

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  • SKILL.md1.6 KB

SKILL.md (original)

Review the instructions the agent will receive before you install.

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 Skill(tome:papers))
  • Code examples (use Skill(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

Exit Criteria

  • At least two community channels (HN, Lobsters, Reddit, or tech blogs) queried per invocation
  • HN results fetched via Algolia API at hn.algolia.com (WebFetch); WebSearch used as fallback if the API is unreachable
  • Each Finding object includes a source field identifying which channel (HN, Lobsters, Reddit, or blog) it came from
  • If all WebFetch and WebSearch calls fail for every channel, the failure is reported explicitly rather than returning fabricated or empty findings

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