Agent skill · data analytics · sundial-org
reddit-insights
Search and analyze Reddit content using semantic AI search via reddit-insights.com MCP server. Use when you need to: (1) Find user pain points and frustrations for product ideas, (2) Discover niche markets or underserved needs, (3) Research what people really think about products/topics, (4) Find content inspiration from real discussions, (5) Analyze sentiment and trends on Reddit, (6) Validate business ideas with real user feedback. Triggers: reddit search, find pain points, market research, user feedback, what do people think about, reddit trends, niche discovery, product validation.
Why this skill is useful
Provides niche commands and domain-specific knowledge for analyzing Reddit content that the AI wouldn't reliably generate on its own.
What it needs
Requires npx installed locally. Requires reddit-insights account access. About 4k tokens when loaded. Last updated 2026-03-07. 639 stars on the source repository.
What this skill does
Reddit Insights MCP Semantic search across millions of Reddit posts. Unlike keyword search, this understands intent and meaning. Setup 1. Get API Key (free tier available) 1. Sign up at https://reddit-insights.com 2. Go to Settings → API 3. Copy your API key 2. Install MCP Server For Claude Desktop - add to claudedesktopconfig.json: For Clawdbot - add to config/mcporter.json: Verify installation: Available Tools Tool Purpose Key Params ------ --------- ------------ redditsearch Semantic search across posts query (natural language), limit (1-100) redditlistsubreddits Browse available subreddits page, limit, search redditgetsubreddit Get subreddit details + recent posts subreddit (without r/) redditgettrends Get trending topics filter (latest/today/week/month), category Performance Notes Response time: 12-25 seconds (varies by query complexity) Simple queries: ~12-15s Complex semantic queries: ~17-20s Heavy load periods: up to 25s Best results: Specific products, emotional language, comparison questions Weaker results: Abstract concepts, non-English queries, generic business terms Sweet spot: Questions a real person would ask on Reddit Best Use Cases (Tested) Use Case Effectiveness Why ---------- -------------- ----- Product comparisons (A vs B) ⭐⭐⭐⭐⭐ Reddit loves debates Tool/app recommendations ⭐⭐⭐⭐⭐ High-intent discussions Side hustle/money topics ⭐⭐⭐⭐⭐ Engaged communities Pain point discovery ⭐⭐⭐⭐ Emotional posts rank well Health questions ⭐⭐⭐⭐ Active health subreddits Technical how-to ⭐⭐⭐ Better to search specific subreddits Abstract market research ⭐⭐ Too vague for semantic search Non-English queries ⭐ Reddit is English-dominant Query Strategies (Tested with Real Data) ✅ Excellent Queries (relevance 0.70+) Product Comparisons (best results!): Side Hustle/Money Topics: Niche App Research: ✅ Good Queries (relevance 0.60-0.69) Pain Point Discovery: Tool Evaluation: ❌ Weak Queries (avoid these patterns) Too Abstract: Non-English: Query Formula Cheat Sheet Goal Patte …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills sundial-org/reddit-insights