last30days

# Last30Days ## Overview Use this skill to produce a grounded brief on a topic using only recent public discussion and engagement signals. Prioritize sources from the last 30 days, rank findings by real engagement, and merge duplicate stories before synthesizing. ## Workflow 1. Clarify the topic, audience, and output format when they are not obvious. 1. Search relevant public platforms for the last 30 days: - Reddit, Hacker News, GitHub, X, YouTube, and Polymarket when relevant. - Topic-specific communities, handles, hashtags, repos, and keywords. 1. Capture engagement context such as upvotes, comments, stars, views, reposts, or prediction odds. 1. De-duplicate repeated stories across platforms and keep the strongest source links. 1. Rank findings by engagement and relevance, not by editorial placement. 1. Produce a concise brief with: - Executive summary. - Top themes and ranked evidence. - Notable disagreements or weak signals. - Source links and dates. - Practical implications for the user's decision. 1. If the user asks for `--emit=html`, produce a formatted HTML brief. 1. If the user asks for ELI5 after a run, rewrite the same findings in plain language without changing the evidence. ## Example Prompts - `/last30days new claude code agent skills github trending` - find what skills are gaining traction this week across HN, Reddit, and GitHub. - `/last30days Notion vs Obsidian knowledge management 2026` - summarize what people are actually saying across Reddit and X, ranked by engagement. - `/last30days AI writing tools market sentiment --emit=html` - synthesize discussion from HN, X, and Polymarket into a shareable brief.