Multi-Channel Engagement Agent
Autonomous social media engagement across Twitter, Farcaster, and Moltbook. Fetches trending content, generates persona-driven contextual replies, and tracks state to prevent duplicates. Use when you want to engage with trending posts, reply to social media content, build audience through authentic engagement, or automate social presence across multiple platforms. Triggers on "engage on twitter", "farcaster engagement", "reply to trending", "social engagement bot", "multi-platform engagement", "
技能说明
name: multi-channel-engagement-agent description: Autonomous social media engagement across Twitter, Farcaster, and Moltbook. Fetches trending content, generates persona-driven contextual replies, and tracks state to prevent duplicates. Use when you want to engage with trending posts, reply to social media content, build audience through authentic engagement, or automate social presence across multiple platforms. Triggers on "engage on twitter", "farcaster engagement", "reply to trending", "social engagement bot", "multi-platform engagement", "autonomous social replies". Features include content filtering, mention tracking, webhook notifications, user blacklist/whitelist, analytics tracking, and quote tweet/recast support.
Multi-Channel Engagement Agent
Autonomous engagement bot for Twitter, Farcaster, and Moltbook. Fetches trending content, generates persona-driven contextual replies, tracks replied posts to prevent duplicates.
Quick Start
1. Create Config
Copy assets/sample-config.json to config.json and fill in your credentials (see Setup Guides section below).
2. Run Engagement
# Engage on specific platform
node scripts/engage.mjs --platform twitter
node scripts/engage.mjs --platform farcaster
node scripts/engage.mjs --platform moltbook
# Engage on all enabled platforms
node scripts/engage.mjs --all
Dependencies & Setup Guides
This skill integrates multiple platforms. Setup each one:
Farcaster Setup (required for Farcaster engagement)
Skill: farcaster-agent (https://clawhub.com/skills/farcaster-agent)
Prerequisites:
- Minimum $1 ETH or USDC on any chain (Ethereum, Optimism, Base, Arbitrum, Polygon)
- Minimum 0.0005 ETH on Optimism for FID registration
Auto-setup command:
clawhub install farcaster-agent
PRIVATE_KEY=0x... node src/auto-setup.js "Your first cast"
What you'll get:
{
"fid": 123456,
"neynarApiKey": "...",
"signerPrivateKey": "...",
"custodyPrivateKey": "0x..."
}
Cost breakdown:
- FID registration: ~$0.20 (requires 0.0005 ETH + gas)
- Signer key: ~$0.05
- Bridging: ~$0.10-0.20
- Total: ~$0.50 (budget $1 for safety)
Neynar API:
- Free tier: 300 requests/minute
- Get key: https://dev.neynar.com
Twitter Setup (required for Twitter engagement)
Two options:
Option A: x-api (OAuth 1.0a, official)
- Get credentials at https://developer.x.com/en/portal/dashboard
- Create Project → App
- Set permissions: Read and Write
- Rate limits: Tweets 50/15min, Searches 450/15min
Option B: AISA API (alternative, good for trending)
- AISA API endpoint:
https://api.aisa.one/apis/v1/twitter/tweet/advanced_search - Get API key at https://aisa.one
- Searches via AISA are fast and reliable for trending
- Config: add
aisaTwitterApiKeyto twitter platform
Recommendation: Use AISA for trending discovery, x-api for posting (replies)
Moltbook Setup (required for Moltbook engagement)
API Base: https://www.moltbook.com/api/v1 (note: use www)
Get API key:
- Register at https://www.moltbook.com
- Get token from account settings
- Verify: https://www.moltbook.com/api/v1/posts
⚠️ CRITICAL: Only send API key to www.moltbook.com, never to other domains
Verification: Posts require solving math captcha (automated in this skill)
Summary Config
All credentials go into config.json:
{
"platforms": {
"twitter": { "oauth": {...} },
"farcaster": { "neynarApiKey": "...", "fid": 123, ... },
"moltbook": { "apiKey": "..." }
}
}
Core Workflow
Step 1: Load Configuration
- Read
config.jsonfor platform credentials - Load persona settings (tone, values, style)
- Load state from
engagement-state.json(replied posts)
Step 2: Fetch Trending
Twitter (OAuth 1.0a via x-api approach):
// Uses twitter-api-v2 with OAuth 1.0a
const client = new TwitterApi({
appKey: config.twitter.oauth.consumerKey,
appSecret: config.twitter.oauth.consumerSecret,
accessToken: config.twitter.oauth.accessToken,
accessSecret: config.twitter.oauth.accessTokenSecret
});
const trending = await client.v2.search('crypto OR web3 OR base', { max_results: 10 });
Farcaster (Neynar API):
const response = await fetch('https://api.neynar.com/v2/farcaster/feed/trending?limit=5', {
headers: { 'x-api-key': config.farcaster.neynarApiKey }
});
Moltbook:
const response = await fetch('https://www.moltbook.com/api/v1/posts/trending', {
headers: { 'Authorization': `Bearer ${config.moltbook.apiKey}` }
});
Step 3: Filter Already Replied
- Load
engagement-state.json - Filter out posts with IDs in
repliedPosts[platform] - Select random unreplied post from remaining
Step 4: Generate Contextual Reply
Based on persona config, analyze post content and generate reply:
Reply Generation Rules:
- Read the post carefully - understand topic, tone, intent
- Match persona - use configured tone, values, signature emoji
- Add specific value - technical insight, question, or genuine reaction
- Avoid generic praise - no "Great post!", "Love this!"
- Keep it natural - crypto slang if persona dictates, short sentences
Tone Balance (configurable):
- Educational: technical insights, explanations, resources
- Community Vibes: celebration, encouragement, connection
- Humor: wit, self-aware jokes, memes (when appropriate)
Step 5: Post Reply
Twitter:
await client.v2.reply(replyText, originalTweetId);
Farcaster (via farcaster-agent pattern):
// Uses post-cast.js with PARENT_FID + PARENT_HASH
const result = await postCast({
privateKey: config.farcaster.custodyPrivateKey,
signerPrivateKey: config.farcaster.signerPrivateKey,
fid: config.farcaster.fid,
text: replyText,
parentFid: originalCast.author.fid,
parentHash: originalCast.hash
});
Moltbook:
await fetch('https://www.moltbook.com/api/v1/comments', {
method: 'POST',
headers: { 'Authorization': `Bearer ${config.moltbook.apiKey}` },
body: JSON.stringify({ postId, content: replyText })
});
Step 6: Update State
{
"lastUpdated": "2026-02-12T11:00:00Z",
"repliedPosts": {
"twitter": ["1234567890", "0987654321"],
"farcaster": ["0xabc123...", "0xdef456..."],
"moltbook": ["uuid-1", "uuid-2"]
},
"stats": {
"totalReplies": 47,
"byPlatform": { "twitter": 20, "farcaster": 15, "moltbook": 12 }
}
}
Persona Configuration Guide
See references/persona-config.md for detailed persona setup.
Quick Examples:
// Crypto-native builder
{
"tone": "crypto-native, technical, supportive",
"signatureEmoji": "🦞",
"values": ["shipping", "community", "open-source"],
"phrases": ["ships > talks", "ser", "wagmi", "based"]
}
// Professional analyst
{
"tone": "professional, analytical, educational",
"signatureEmoji": "📊",
"values": ["accuracy", "depth", "clarity"],
"phrases": ["data suggests", "worth noting", "key insight"]
}
Platform-Specific Notes
See references/platform-apis.md for API details.
Twitter: OAuth 1.0a required. Rate limits: 50 tweets/15min, 300 tweets/3hr.
Farcaster: Neynar API + x402 payments (0.001 USDC/call). Requires FID + signer key.
Moltbook: API key auth. Verification captcha for posts/comments.
Reply Quality Guidelines
See references/reply-strategies.md for detailed strategies.
Golden Rules:
- Specific > Generic - If you can't add specific value, stay silent
- Quality > Quantity - One thoughtful reply beats five generic ones
- Authentic > Performative - Sound human, not bot
- Value > Visibility - Help the community, don't just farm engagement
What Works: ✅ Technical questions showing understanding ✅ Specific insights from experience ✅ Genuine celebration with substance ✅ Helpful resources and connections
What Fails: ❌ Generic praise ("Love this!", "Great post!") ❌ Corporate speak ("excited to announce") ❌ Surface-level comments ❌ Forced humor
Cron Integration
To run automatically, create a cron job:
{
"name": "Multi-Channel Engagement - Every 6h",
"schedule": { "kind": "cron", "expr": "0 */6 * * *" },
"payload": {
"kind": "agentTurn",
"message": "Run multi-channel-engagement-agent: engage on all platforms",
"model": "haiku"
}
}
Advanced Features
Content Filters
Skip spam, scams, and low-quality content automatically.
"filters": {
"skipKeywords": ["airdrop", "free money", "send dm", "check bio"],
"minEngagement": { "likes": 5, "replies": 2 },
"skipBots": true,
"languageFilter": ["en", "es"]
}
Mention Tracking
Reply to mentions of your account, not just trending.
node scripts/engage.mjs --mentions --platform=twitter
Webhook Notifications
Send engagement results to Telegram or Discord.
"webhooks": {
"telegram": {
"enabled": true,
"botToken": "YOUR_BOT_TOKEN",
"chatId": "YOUR_CHAT_ID"
},
"discord": {
"enabled": false,
"webhookUrl": "https://discord.com/api/webhooks/..."
}
}
User Blacklist/Whitelist
Skip bots, prioritize builders.
"users": {
"blacklist": ["spambot123", "scammer456"],
"whitelist": ["jessepollak", "vitalik"],
"prioritizeVerified": true
}
Analytics Tracking
Track engagement stats over time in analytics.json.
{
"daily": {
"2026-02-12": {
"replies": 4,
"platforms": { "twitter": 2, "farcaster": 2 },
"engagement": { "likes": 15, "replies": 3 }
}
},
"allTime": {
"totalReplies": 247,
"avgEngagement": 4.2
}
}
Quote Support
Quote tweets/recasts instead of direct replies.
node scripts/engage.mjs --quote --platform=twitter
node scripts/engage.mjs --quote --platform=farcaster
Troubleshooting
"Already replied to all trending" - All top posts already engaged. Wait for new trending content.
Twitter rate limit - Wait 15 minutes. Consider reducing frequency.
Farcaster "unknown fid" - Hub not synced. Wait 30-60 seconds.
Moltbook verification failed - Solve the math captcha in verification response.
Files
scripts/engage.mjs- Main engagement scriptscripts/fetch-trending.mjs- Fetch trending by platformscripts/generate-reply.mjs- Persona-driven reply generationscripts/post-reply.mjs- Post reply to platformreferences/persona-config.md- Persona configuration guidereferences/platform-apis.md- Platform API documentationreferences/reply-strategies.md- Reply quality strategies
如何使用「Multi-Channel Engagement Agent」?
- 打开小龙虾AI(Web 或 iOS App)
- 点击上方「立即使用」按钮,或在对话框中输入任务描述
- 小龙虾AI 会自动匹配并调用「Multi-Channel Engagement Agent」技能完成任务
- 结果即时呈现,支持继续对话优化