eigent-ai/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.
2. 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.
3. Capture engagement context such as upvotes, comments, stars, views, reposts, or prediction odds.
4. De-duplicate repeated stories across platforms and keep the strongest source links.
5. Rank findings by engagement and relevance, not by editorial placement.
6. 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.
7. If the user asks for --emit=html, produce a formatted HTML brief.
8. 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.