Individual skill
blog-discourse
Research what people are actually saying about a topic in the last 30 days across Reddit, X / Twitter, YouTube, Hacker News, dev.to, Medium, and other public discourse platforms. API-free; uses WebSearch with platform-targeted site operators plus recency filters. Produces DISCOURSE.md (a structured brief) and JSON output the writer can consume. Complements blog-researcher (which focuses on authority sources) with a recency-and-engagement lens. Use when user says "blog discourse", "discourse research", "what are people saying about", "research what people are saying", "voice of customer", "social listening", "30-day research", "trend research", "what's the discussion on", "real-time research", "practitioner discourse", "/blog discourse".
skills-imported/blog-discourse/SKILL.md
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# Blog Discourse: Real Discourse Research, API-Free
Produces DISCOURSE.md: a structured brief of what practitioners said about <topic> on the public web in the last 30 days. It is the recency + engagement lens that `blog-researcher` (authority-first) lacks, asking what practitioners and customers are actually saying about this topic right now.
Adapted from the methodology of `last30days-skill` (Matt Van Horn, MIT, https://github.com/mvanhorn/last30days-skill). The upstream uses platform APIs; this sub-skill uses WebSearch with platform-targeted site operators. No API keys required.
## Commands
| Command | Purpose |
|---|---|
| `/blog discourse <topic>` | Produce a discourse brief at project-root `DISCOURSE.md` |
| `/blog discourse <topic> --days 90` | Widen the freshness window from 30 to 90 days |
| `/blog discourse <topic> --input results.json` | Skip search; build the brief from a pre-gathered results file. The flag name matches `scripts/discourse_research.py --input` directly. |
| `/blog discourse <topic> --output path.md` | Write markdown to a chosen output path and print structured JSON without markdown to stdout. |