last30days-v3-betaResearch any topic across Reddit, X, YouTube, TikTok, Instagram, Hacker News, Polymarket, GitHub, Perplexity, and more. AI agent scores by upvotes, likes, an...
Install via ClawdBot CLI:
clawdbot install mvanhorn/last30days-v3-betaGrade Limited — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Potentially destructive shell commands in tool definitions
exec(Calls external URL not in known-safe list
https://github.com/mvanhorn/last30days-skillUses known external API (expected, informational)
api.openai.comAudited Apr 17, 2026 · audit v1.0
Generated May 8, 2026
Track competitor mentions and product discussions across Reddit and X (Twitter) to identify market sentiment, feature requests, and complaints. Useful for product managers and competitive intelligence teams to react quickly to market feedback.
Search for the latest viral topics, emerging creators, or content strategies on YouTube and TikTok. Content marketers and social media managers can leverage this to guide content planning and ad targeting.
Gather sentiment and prediction market data on tech stocks or startup news from Hacker News discussions and Polymarket bets. Useful for investors and analysts tracking tech ecosystem sentiment.
Aggregate public reaction to a new product launch across Reddit, Twitter, Instagram, and YouTube. Product teams can quickly see what users love or hate without manual browsing.
Set up a daily briefing that summarizes the latest news, discussions, and trends from all supported platforms based on user-specified topics. Saves executives and analysts hours of manual research each morning.
Offer a dashboard that uses last30days as a backend to provide multi-platform trend and sentiment data to businesses. Charge a monthly subscription based on number of topics monitored.
Provide a managed service where analysts use last30days to generate weekly competitor reports for clients. Bill per report or as a retainer.
Package the skill's output as an API endpoint that other applications can call for aggregated social search results. Charge per API call or data volume.
💬 Integration Tip
Ensure the required environment variables (especially SCRAPECREATORS_API_KEY) are set before use, and run the diagnosis script to verify source availability.
Scored Apr 19, 2026
When the user wants help creating, scheduling, or optimizing social media content for LinkedIn, Twitter/X, Instagram, TikTok, Facebook, or other platforms. Also use when the user mentions 'LinkedIn post,' 'Twitter thread,' 'social media,' 'content calendar,' 'social scheduling,' 'engagement,' or 'viral content.' This skill covers content creation, repurposing, and platform-specific strategies.
Use when YouTube is or could be relevant — even if not mentioned: pasted video/channel/playlist links, video IDs, @handles, creator lookups, video summaries,...
Automate Xiaohongshu (RedNote) content operations using a Python client for the xiaohongshu-mcp server. Use for: (1) Publishing image, text, and video content, (2) Searching for notes and trends, (3) Analyzing post details and comments, (4) Managing user profiles and content feeds. Triggers: xiaohongshu automation, rednote content, publish to xiaohongshu, xiaohongshu search, social media management.
Draft and publish posts to 小红书 (Xiaohongshu/RED). Use when creating content for 小红书, drafting posts, generating cover images, or publishing via browser automation. Covers the full workflow from content creation to browser-based publishing, including cover image generation with Pillow.
Search YouTube videos, get channel info, fetch video details and transcripts using YouTube Data API v3 via MCP server or yt-dlp fallback.
Sentiment analysis for brands and products across Twitter, Reddit, and Instagram. Monitor public opinion, track brand reputation, detect PR crises, surface complaints and praise at scale — analyze 70K+ posts with bulk CSV export and Python/pandas. Social listening and brand monitoring powered by 1.5B+ indexed posts.