| name | last30days |
| description | Research what people have discussed in the last 30 days across high-signal public platforms. Use when the user asks for `/last30days`, recent trend research, competitive intelligence, market pulse briefs, or engagement-ranked synthesis from Reddit, Hacker News, GitHub, X, YouTube, Polymarket, and similar sources. |
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
- Clarify the topic, audience, and output format when they are not obvious.
- 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.
- Capture engagement context such as upvotes, comments, stars, views, reposts, or prediction odds.
- De-duplicate repeated stories across platforms and keep the strongest source links.
- Rank findings by engagement and relevance, not by editorial placement.
- 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.
- If the user asks for
--emit=html, produce a formatted HTML brief.
- 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.
