blog-discourselisted

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".
shenxingy/Clade · ★ 8 · AI & Automation · score 81

Install: claude install-skill shenxingy/Clade

# Blog Discourse: Real Discourse Research, API-Free `blog-discourse` is the recency + engagement lens that `blog-researcher` (authority-first) lacks. It asks: in the last 30 days, what are practitioners and customers actually saying about this topic on the public web? 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> --feed-into brief` | Run the brief, then immediately invoke `/blog brief <topic>` with DISCOURSE.md auto-loaded | | `/blog discourse <topic> --feed-into write` | Run the brief, then invoke `/blog write <topic>` | | `/blog discourse <topic> --feed-into strategy` | Run the brief, then invoke `/blog strategy <topic>` | | `/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. | ## Workflow ### Phase 0: Topic Pre-Flight (mandatory) Before any search, run the four keyword-trap checks from `skills/blog/references/research-quality.md` (Class 1 demographic shopping, Class 2 numeric trap, Class 3 overly-lit