{"id":"71ee33d3-91a4-4fc3-b7fe-0cd524d4b398","shortId":"4ajjQL","kind":"skill","title":"reddit-research","tagline":"Search and analyze Reddit discussions for market research, product feedback, and community insights using Xpoz. Use when asked to \"search Reddit\", \"what does Reddit think about X\", \"Reddit feedback on X\", \"subreddit analysis\", or \"Reddit market research\".","description":"# Reddit Research\n\n## Overview\n\nSearch and analyze Reddit discussions across all subreddits. Extract community opinions, identify pain points, discover product feedback, and understand market sentiment — all without Reddit API keys.\n\n## When to Use\n\nActivate when the user asks:\n- \"What does Reddit think about [PRODUCT]?\"\n- \"Search Reddit for [TOPIC]\"\n- \"What are people saying about [BRAND] on Reddit?\"\n- \"Reddit feedback on [TOOL/SERVICE]\"\n- \"Find Reddit discussions about [TOPIC]\"\n- \"Market research on Reddit for [INDUSTRY]\"\n\n## Setup & Authentication\n\nBefore fetching data, ensure Xpoz access is configured. Follow these checks in order.\n\n### Check 1: Already authenticated?\n\n**If you have MCP tools**, try calling any Xpoz tool (e.g., `checkAccessKeyStatus`). If it works → skip to Step 1.\n\n**If you have the SDK**, try:\n```python\nfrom xpoz import XpozClient\nclient = XpozClient()  # reads XPOZ_API_KEY env var\n```\nIf this succeeds without error → skip to Step 1.\n\nIf neither works, you need to authenticate. Choose the path that fits your environment:\n\n---\n\n### Path A: MCP via mcporter (OpenClaw agents)\n\nIf `mcporter` is available:\n\n```bash\nmcporter call xpoz.checkAccessKeyStatus\n```\n\nIf `hasAccessKey: true` → ready. If not:\n\n```bash\nmcporter config add xpoz https://mcp.xpoz.ai/mcp --auth oauth\n```\n\nThen authenticate — generate the OAuth URL and send it to the user:\n\n**Step 1: Generate authorization URL**\n```python\nimport secrets, hashlib, base64, urllib.parse, json, urllib.request, os\n\nverifier = secrets.token_urlsafe(64)\nchallenge = base64.urlsafe_b64encode(hashlib.sha256(verifier.encode()).digest()).rstrip(b'=').decode()\nstate = secrets.token_urlsafe(32)\n\n# Dynamic client registration\nreg_req = urllib.request.Request(\n    'https://mcp.xpoz.ai/oauth/register',\n    data=json.dumps({\n        'client_name': 'Agent Skills',\n        'redirect_uris': ['https://www.xpoz.ai/oauth/openclaw'],\n        'grant_types': ['authorization_code'],\n        'response_types': ['code'],\n        'token_endpoint_auth_method': 'none',\n    }).encode(),\n    headers={'Content-Type': 'application/json'},\n)\nreg_resp = json.loads(urllib.request.urlopen(reg_req).read())\n\nparams = urllib.parse.urlencode({\n    'response_type': 'code',\n    'client_id': reg_resp['client_id'],\n    'code_challenge': challenge,\n    'code_challenge_method': 'S256',\n    'redirect_uri': 'https://www.xpoz.ai/oauth/openclaw',\n    'state': state,\n    'scope': 'mcp:tools',\n    'resource': 'https://mcp.xpoz.ai/',\n})\n\nauth_url = 'https://mcp.xpoz.ai/oauth/authorize?' + params\n\n# Save state for token exchange\nos.makedirs(os.path.expanduser('~/.cache/xpoz-oauth'), exist_ok=True)\nwith open(os.path.expanduser('~/.cache/xpoz-oauth/state.json'), 'w') as f:\n    json.dump({'verifier': verifier, 'state': state, 'client_id': reg_resp['client_id'],\n               'redirect_uri': 'https://www.xpoz.ai/oauth/openclaw'}, f)\n\nprint(auth_url)\n```\n\n**Step 2: Send the URL to the user**\n\nTell them:\n> \"I need to connect to Xpoz for social media data. Please open this link and sign in:\n>\n> [auth_url]\n>\n> After authorizing, you'll see a code. Paste it back to me here.\"\n\n**Step 3: WAIT for the user to reply with the code.** Do not proceed until they respond.\n\n**Step 4: Exchange the code for a token**\n\nOnce the user provides the code (either a raw code or a URL containing `?code=...`), extract the code and exchange it:\n\n```python\nimport json, urllib.request, urllib.parse, subprocess, os\n\nwith open(os.path.expanduser('~/.cache/xpoz-oauth/state.json')) as f:\n    oauth = json.load(f)\n\ncode = \"THE_CODE_FROM_USER\"  # Extract from user's reply\n\ndata = urllib.parse.urlencode({\n    'grant_type': 'authorization_code',\n    'code': code,\n    'redirect_uri': oauth['redirect_uri'],\n    'client_id': oauth['client_id'],\n    'code_verifier': oauth['verifier'],\n}).encode()\n\nreq = urllib.request.Request(\n    'https://mcp.xpoz.ai/oauth/token',\n    data=data,\n    headers={'Content-Type': 'application/x-www-form-urlencoded'},\n)\nresp = json.loads(urllib.request.urlopen(req).read())\ntoken = resp['access_token']\n\n# Configure mcporter with the token (token is never printed)\nsubprocess.run(['mcporter', 'config', 'remove', 'xpoz'], capture_output=True)\nsubprocess.run(['mcporter', 'config', 'add', 'xpoz', 'https://mcp.xpoz.ai/mcp',\n                '--header', f'Authorization=Bearer {token}'], check=True)\n\n# Clean up\nos.remove(os.path.expanduser('~/.cache/xpoz-oauth/state.json'))\nprint(\"Xpoz configured successfully\")\n```\n\n**Step 5: Verify** with `mcporter call xpoz.checkAccessKeyStatus` → should return `hasAccessKey: true`.\n\n---\n\n### Path B: MCP via Claude Code config\n\nFor Claude Code users without mcporter, add to `~/.claude.json`:\n```json\n{\n  \"mcpServers\": {\n    \"xpoz\": {\n      \"url\": \"https://mcp.xpoz.ai/mcp\",\n      \"transport\": \"http-stream\"\n    }\n  }\n}\n```\nClaude Code handles OAuth automatically on first tool call — the user just needs to authorize in their browser when prompted.\n\n---\n\n### Path C: SDK (Python or TypeScript)\n\nAsk the user:\n> \"I need a Xpoz API key to access social media data. Please go to https://xpoz.ai/get-token (it's free, no credit card needed) and paste the key back to me.\"\n\n**WAIT for the user to reply with the key.** Then:\n\n**Python:**\n```bash\npip install xpoz\n```\n```python\nfrom xpoz import XpozClient\nclient = XpozClient(\"THE_KEY_FROM_USER\")\n```\n\n**TypeScript:**\n```bash\nnpm install @xpoz/xpoz\n```\n```typescript\nimport { XpozClient } from \"@xpoz/xpoz\";\nconst client = new XpozClient({ apiKey: \"THE_KEY_FROM_USER\" });\nawait client.connect();\n```\n\nOr set the environment variable and use the default constructor:\n```bash\nexport XPOZ_API_KEY=THE_KEY_FROM_USER\n```\n\n---\n\n### Auth Errors\n| Problem | Solution |\n|---------|----------|\n| MCP: \"Unauthorized\" | Re-run the OAuth flow above |\n| SDK: `AuthenticationError` | Verify key at [xpoz.ai/settings](https://xpoz.ai/settings) |\n| Token exchange fails | Ask user to re-authorize — codes are single-use |\n\n\n## Step-by-Step Instructions\n\n### Step 1: Parse the Request\n\nExtract:\n- **Topic/product/brand** to research\n- **Specific questions** the user wants answered\n- **Time period** (default: last 30 days)\n- **Subreddit filter** (if user specifies one)\n\nBuild the query:\n- Product name + common alternatives: `\"Cursor\" OR \"Cursor IDE\" OR \"cursor.sh\"`\n- Include comparison terms: `\"Cursor vs\" OR \"Cursor alternative\"`\n- For feedback: `\"Cursor\" AND (\"love\" OR \"hate\" OR \"switched\" OR \"review\")`\n\n### Step 2: Fetch Reddit Posts\n\n#### Via MCP\n\n```\nCall getRedditPostsByKeywords:\n  query: \"<expanded query>\"\n  fields: [\"id\", \"title\", \"text\", \"authorUsername\", \"createdAtDate\", \"score\", \"numComments\", \"subreddit\", \"url\"]\n  startDate: \"<30 days ago, YYYY-MM-DD>\"\n  endDate: \"<today, YYYY-MM-DD>\"\n```\n\n**CRITICAL:** Call `checkOperationStatus` with the returned `operationId` and poll until \"completed\" (up to 8 retries, ~5 seconds apart).\n\n**For users who posted about the topic:**\n```\nCall getRedditUsersByKeywords:\n  query: \"<query>\"\n  fields: [\"id\", \"username\", \"relevantPostsCount\"]\n  startDate: \"<30 days ago>\"\n```\n\n#### Via Python SDK\n\n```python\nfrom xpoz import XpozClient\n\nclient = XpozClient()\n\n# Search Reddit posts\nresults = client.reddit.search_posts(\n    '\"Cursor\" OR \"Cursor IDE\"',\n    start_date=\"2026-01-24\",\n    end_date=\"2026-02-23\",\n    fields=[\"id\", \"title\", \"text\", \"author_username\", \"created_at_date\", \"score\", \"num_comments\", \"subreddit\", \"url\"]\n)\n\n# Collect all pages\nall_posts = results.data\nwhile results.has_next_page():\n    results = results.next_page()\n    all_posts.extend(results.data)\n\nprint(f\"Found {len(all_posts)} Reddit posts\")\n\n# Export to CSV for deeper analysis\ncsv_url = results.export_csv()\n\nclient.close()\n```\n\n#### Via TypeScript SDK\n\n```typescript\nimport { XpozClient } from \"@xpoz/xpoz\";\n\nconst client = new XpozClient();\nawait client.connect();\n\nconst results = await client.reddit.searchPosts('\"Cursor\" OR \"Cursor IDE\"', {\n  startDate: \"2026-01-24\",\n  endDate: \"2026-02-23\",\n  fields: [\"id\", \"title\", \"text\", \"authorUsername\", \"createdAtDate\", \"score\", \"numComments\", \"subreddit\", \"url\"],\n});\n\nconsole.log(`Found ${results.pagination.totalRows} posts`);\nconst csvUrl = await results.exportCsv();\n\nawait client.close();\n```\n\n### Step 3: Analyze the Data\n\n**Subreddit Distribution:**\n- Group posts by subreddit\n- Identify where the most discussion happens\n- Note subreddit context (r/programming = developers, r/productivity = end users, etc.)\n\n**Sentiment Analysis:**\n- Reddit uses upvotes/downvotes as built-in sentiment (high score = community agrees)\n- Posts with high `numComments` indicate controversial or engaging topics\n- Score/comments ratio: high score + few comments = consensus; low score + many comments = debate\n\n**Theme Extraction:**\nIdentify recurring themes:\n- **Pain points**: complaints, frustrations, feature requests\n- **Praise**: what users love, competitive advantages\n- **Comparisons**: how the product compares to alternatives\n- **Use cases**: how people actually use the product\n- **Questions**: common confusion points or information gaps\n\n**Tip:** Reddit posts often contain more nuanced, detailed opinions than Twitter. Prioritize posts with high `score` and `numComments` for quality insights.\n\n### Step 4: Generate Report\n\n```\n## Reddit Research: [TOPIC]\n**Period:** [date range] | **Posts analyzed:** [count]\n\n### Overview\n[2-3 sentence summary of what Reddit thinks]\n\n### Subreddit Distribution\n| Subreddit | Posts | Avg Score | Top Theme |\n|-----------|-------|-----------|-----------|\n| r/programming | X | X | Performance concerns |\n| r/productivity | X | X | Workflow improvements |\n| ... | ... | ... | ... |\n\n### Key Themes\n\n#### 1. 👍 What People Love\n- [Theme with supporting quotes]\n- [Theme with supporting quotes]\n\n#### 2. 👎 Pain Points & Complaints\n- [Theme with supporting quotes]\n- [Theme with supporting quotes]\n\n#### 3. 🔄 Comparisons & Alternatives\n- [Product vs Competitor: community consensus]\n- [Common alternatives mentioned]\n\n#### 4. 💡 Feature Requests & Suggestions\n- [Most requested features]\n- [Creative use cases discovered]\n\n### Top Posts (by engagement)\n| Score | Comments | Subreddit | Title |\n|-------|----------|-----------|-------|\n| 1.2K | 234 | r/programming | \"Title...\" |\n| ... | ... | ... | ... |\n\n### Notable Quotes\n> \"Actual Reddit quote with context\" — u/username in r/subreddit (⬆️ 456)\n\n### Actionable Insights\n[3-5 bullet points of what to do with this information]\n```\n\n## Example Prompts\n\n- \"What does Reddit think about Cursor IDE?\"\n- \"Search Reddit for people complaining about Zapier pricing\"\n- \"Reddit market research: what tools are indie hackers using for automation?\"\n- \"Find Reddit posts comparing Claude vs GPT-4\"\n- \"What's r/machinelearning saying about open-source LLMs?\"\n\n## Notes\n\n- Reddit data includes post titles and body text — titles alone often reveal sentiment\n- High `num_comments` posts are goldmines for qualitative research\n- Free tier: 100K results/month at [xpoz.ai](https://xpoz.ai?utm_source=github&utm_medium=agent-skills&utm_campaign=reddit-research)\n- For CSV export, use `export_csv()` / `exportCsv()` to download complete datasets","tags":["reddit","research","xpoz","agent","skills","xpozpublic","agent-skills","ai-agents","claude-code","claude-code-skills","claude-skills","codex-cli"],"capabilities":["skill","source-xpozpublic","skill-reddit-research","topic-agent-skills","topic-ai-agents","topic-claude-code","topic-claude-code-skills","topic-claude-skills","topic-codex-cli","topic-mcp","topic-reddit-api","topic-skill-md","topic-skillsmp","topic-social-intelligence","topic-social-media"],"categories":["xpoz-agent-skills"],"synonyms":[],"warnings":[],"endpointUrl":"https://skills.sh/XPOZpublic/xpoz-agent-skills/reddit-research","protocol":"skill","transport":"skills-sh","auth":{"type":"none","details":{"cli":"npx skills add XPOZpublic/xpoz-agent-skills","source_repo":"https://github.com/XPOZpublic/xpoz-agent-skills","install_from":"skills.sh"}},"qualityScore":"0.455","qualityRationale":"deterministic score 0.46 from registry signals: 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