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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).
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
SOC 직업 분류 기준
Reddit competitive intelligence for any product. Discovers keywords, finds relevant communities, searches for posts with pain points, and analyzes comments to extract competitor mentions, real user language, and unmet needs. Runs 4 incremental steps: expand-keywords / expand-subreddits / find-posts / analyze-comments. Also: init (first-time setup). Each run: read JSONL → search → dedup-append → re-render Markdown. Requires: Exa MCP server for Reddit search. Usage: /reddit-intel step-name
Analyze Reddit comment sections for competitive intelligence. Extracts competitor mentions, real user language (copy material), and unmet needs from active posts. Part of reddit-intel. Requires .reddit-intel.json (run /reddit-intel-init first).
Initialize reddit-intel for your project. Creates config file (.reddit-intel.json), data directory, and product-context template. First-time setup — run once per project.
Expand Reddit marketing keywords. Discovers how users describe pain points in your product domain. Searches Reddit via Exa, finds synonyms, long-tail variants, and real user language. Part of reddit-intel. Requires .reddit-intel.json (run /reddit-intel-init first).
Discover relevant Reddit communities for your product. Finds subreddits where target users discuss pain points, rates them by tier (1-4), and tracks promo policies. Part of reddit-intel. Requires .reddit-intel.json (run /reddit-intel-init first).
| 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"} |
Search target communities for posts containing pain points relevant to your product.
mcp__exa__web_search_exa (type="deep") for all Reddit searchesReads .reddit-intel.json from project root. If not found, tell user to run /reddit-intel-init.
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
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.
{data_dir}/posts.jsonl for existing post URLs (dedup set){data_dir}/keywords.jsonl for search terms{data_dir}/subreddits.jsonl — only search tier 1 and tier 2SKILL_DIR/references/step-details.md Step 3 section for detailed logic"site:reddit.com/r/{subreddit} {keyword}"mcp__exa__web_search_exa (type="deep")pain_category and product_solution using pain categories from product-context.mdstatus="archived"url, append via:
python3 SKILL_DIR/scripts/jsonl_ops.py append posts '<json>'
python3 SKILL_DIR/scripts/jsonl_ops.py render postsWhere SKILL_DIR is two levels up from this file (the reddit-intel repo root).