discourse

Name: discourse
Author: athola

github.com/atholaProductivity34381 installsUpdated 3d ago

About discourse

A research skill for gathering and comparing community discussions about technologies or approaches. It searches at least two channels, including Hacker News, Lobsters, Reddit, or selected tech blogs, and retains source attribution.

Key features

01Search Hacker News via Algolia
02Search Lobsters, Reddit, and tech blogs
03Combine findings with source attribution
04Report failures instead of fabricating results

Use cases

01Gather community opinions on a technology
02Find experience reports from HN, Reddit, or Lobsters

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/athola/claude-night-market --skill discourse

After installing, type/discoursein Claude Code to confirm it loaded.

Details

From the project README

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

Build search URLs/queries per channel using tome.channels.discourse.* functions
Execute via WebFetch (APIs) or WebSearch (fallback)
Parse responses into Finding objects
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

Comments

Markdown supported

Details

Author: athola
Repository: athola/claude-night-market
Category: Productivity
Installs: 81
GitHub stars: 343

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