What problem it solves

Relevant discussion is spread across platforms with separate APIs, authentication systems, and content formats, making it difficult for an AI agent to gather and compare them together. Conventional search and general-purpose AI assistants may omit discussions, comments, transcripts, or other first-hand signals found on these platforms.

Key features

• Multi-source research — Searches social platforms, developer communities, prediction markets, financial sources, and editorial coverage in parallel. Source availability can depend on credentials, installed tools, the topic, and explicit opt-ins.

  Source: README

• Engagement-based ranking — Uses signals such as upvotes, likes, comments, engagement, and prediction-market odds to compare material across sources. The resulting summary emphasizes what communities and participants have engaged with.

  Source: README

• Grounded agent synthesis — An AI agent judge combines the searched material into one brief. The README describes summaries that connect current activity, community reactions, and cited evidence.

  Source: README

• Topic discovery mode — A discovery request sweeps source listings and front pages, filters nominations, and proposes velocity-ranked topic angles. Each result includes cross-source numbers, a momentum label, and a ready-to-run follow-up command.

  Source: README

• Flexible setup and source access — The skill supports installation through Claude Code, other Agent Skills hosts, Grok, OpenClaw, claude.ai, Claude Desktop, or a manual source checkout. Several sources work without configuration, while users can provide credentials or opt into additional sources.

  Source: README, CONFIGURATION.md

Quick start

Copied verbatim from the project's README.

/plugin marketplace add mvanhorn/last30days-skill
/plugin install last30days

/last30days Peter Steinberger

Who it may suit

Inference: may suit AI-agent users, developers, researchers, and meeting or planning workflows that need a current, cross-source view of a person, company, product, or topic.

Topics to discuss

• Which additional sources would add the most value to the research pipeline?

• How should engagement signals be weighted when sources measure attention differently?

• What evidence and citation format would make synthesized briefs easiest to verify?

Written by ReadmeX AI from the project's README, source and public GitHub data; it may contain mistakes.

Read the original README https://github.com/mvanhorn/last30days-skill#readme

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