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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).
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
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).
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-ac |
| description | 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). |
| allowed-tools | ["Read","Write","Edit","Bash","Glob","Grep","mcp__exa__web_search_exa","WebFetch"] |
| metadata | {"trigger":"When user wants to analyze Reddit comments, extract competitive intelligence, or mentions reddit-ac"} |
Analyze comment sections of active posts. Extract competitor info, real user language, and unmet needs.
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.
post_url + content[:50]){"post_url": "https://www.reddit.com/...", "type": "competitor", "content": "I use Cursor when I exceed the token limit", "competitor": "Cursor", "sentiment": "positive", "insight": "Cursor used as fallback", "added": "2026-02-06"}
type values: competitor | language | need
| type | What to extract | Key fields |
|---|---|---|
| competitor | Mentions of competing/alternative tools | competitor + sentiment (positive/neutral/negative) |
| language | Real user language, verbatim quotes for copy | content (quote) + insight (marketing-usable phrasing) |
| need | Unmet needs users express | content + insight (whether your product can solve it) |
{data_dir}/posts.jsonl — only status=active posts{data_dir}/comments.jsonl — find unanalyzed posts (post_url not in existing set)SKILL_DIR/references/step-details.md Step 4 section for detailed logicmcp__exa__web_search_exa (type="deep") using post title + subredditpost_url + content[:50], append via:
python3 SKILL_DIR/scripts/jsonl_ops.py append comments '<json>'
python3 SKILL_DIR/scripts/jsonl_ops.py render commentsWhere SKILL_DIR is two levels up from this file (the reddit-intel repo root).