reddit-fp

name	reddit-fp
description	Find Reddit posts with pain points matching your product. Searches tier 1/2 subreddits using keywords, classifies by pain category, maps to product solutions. Part of reddit-intel. Requires .reddit-intel.json (run /reddit-intel-init first).
allowed-tools	["Read","Write","Edit","Bash","Glob","Grep","mcp__exa__web_search_exa"]
metadata	{"trigger":"When user wants to find Reddit posts, search for pain-point posts, or mentions reddit-fp"}

reddit-fp — Find Posts

Search target communities for posts containing pain points relevant to your product.

Tool Rules

• DO NOT use built-in WebSearch for Reddit (blocked by Anthropic's crawler)
• MUST use mcp__exa__web_search_exa (type="deep") for all Reddit searches
• Max 3 query attempts per search intent; skip if no results
• Target: keep total tool calls under 30

Config

Reads .reddit-intel.json from project root. If not found, tell user to run /reddit-intel-init.

Schema: posts.jsonl (unique key: url)

{"url": "https://www.reddit.com/...", "title": "...", "subreddit": "r/ClaudeAI", "upvotes": 85, "comments": 47, "post_date": "2025-06-01", "pain_category": "context_loss", "product_solution": "Auto-inject context on each session", "status": "active", "added": "2026-02-06"}

status values: active | archived

Arguments

The user may pass a topic/keyword as argument (e.g., /reddit-fp context loss). If provided, focus the search on that specific topic. If no argument, search across all keywords.

Flow

1. Read {data_dir}/posts.jsonl for existing post URLs (dedup set)
2. Read {data_dir}/keywords.jsonl for search terms
3. Read {data_dir}/subreddits.jsonl — only search tier 1 and tier 2
4. Read SKILL_DIR/references/step-details.md Step 3 section for detailed logic
5. For each tier 1/2 subreddit:
   • Select 3-5 most relevant keywords (or use user-provided topic)
   • Query: "site:reddit.com/r/{subreddit} {keyword}"
   • Execute with mcp__exa__web_search_exa (type="deep")
6. Filter: prefer last 30 days, with engagement (comments > 0)
7. Classify each post's pain_category and product_solution using pain categories from product-context.md
8. Mark existing posts older than 30 days as status="archived"
9. Dedup by url, append via:

   python3 SKILL_DIR/scripts/jsonl_ops.py append posts '<json>'
   

10. Render: python3 SKILL_DIR/scripts/jsonl_ops.py render posts
11. Report: new entries added + current total

Where SKILL_DIR is two levels up from this file (the reddit-intel repo root).