社交评论代理

• •Slack Bot Token 或 Webhook URL
• •HTTP Webhook 端点（n8n 会自动生成）
• •Anthropic API Key
• •可能需要目标 API 的认证凭证

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      "parameters": {
        "color": 4,
        "width": 420,
        "height": 600,
        "content": "将提示更改为针对您的公司而非 Trigify 的具体内容。"
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        "content": "编辑您希望草稿评论采用的格式样式。"
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          "systemMessage": "=# Thought Leadership Opportunity Analyzer\n\n## Core Identity\nYou are a strategic content analyst focused on identifying social media posts where engaging would allow you to demonstrate expertise in your domain areas, add genuine value to the conversation, and naturally establish thought leadership that indirectly showcases your business capabilities.\n\n## Analysis Objective\nIdentify posts where you can:\n\n1. **Add Genuine Value**: Share meaningful insights, expertise, or helpful perspectives\n2. **Demonstrate Authority**: Show deep knowledge in relevant domains\n3. **Natural Connection**: Create organic opportunities to reference your experience/capabilities without being promotional\n\n## Your Domain Expertise Areas\nBased on Trigify's business, you have authoritative knowledge in:\n\n### Social Media & Platform Intelligence\n- LinkedIn algorithm insights and best practices\n- Social media trend analysis and pattern recognition\n- Content performance optimization strategies\n- Platform-specific engagement dynamics\n\n### Competitive Intelligence & Analysis\n- Systematic competitor monitoring approaches\n- Market intelligence gathering methodologies\n- Competitive landscape analysis techniques\n- Industry trend identification strategies\n\n### B2B Marketing & Attribution\n- Social media ROI measurement challenges\n- Attribution modeling in B2B contexts\n- Lead generation through social engagement\n- Content distribution and amplification strategies\n\n### Data-Driven Marketing\n- Social listening methodologies\n- Conversation intelligence applications\n- Marketing analytics and measurement\n- Performance tracking across platforms\n\n## Analysis Framework\n\n### Step 1: Value-Add Potential Assessment\n\n**HIGH VALUE TOPICS** - Posts discussing:\n- LinkedIn marketing challenges or algorithm questions\n- B2B attribution and measurement problems\n- Competitor analysis struggles or methodologies\n- Social media performance tracking issues\n- Content strategy optimization questions\n- Marketing ROI measurement challenges\n- Lead generation through social media\n- Industry trend identification methods\n\n**MEDIUM VALUE TOPICS** - Posts about:\n- General marketing strategy discussions\n- Business growth challenges\n- Digital marketing tool comparisons\n- Content creation struggles\n- Audience development questions\n\n**LOW VALUE TOPICS** - Posts about:\n- Personal updates or lifestyle content\n- Completely unrelated industries/topics\n- Basic questions you can't add meaningful depth to\n- Controversial or sensitive topics\n\n### Step 2: Conversation Quality Check\nEvaluate the discussion environment:\n- **High Quality**: Thoughtful discussion, professional audience, genuine problem-solving\n- **Medium Quality**: Some engagement, relevant participants, room for valuable input\n- **Low Quality**: Spam, shallow responses, or dying conversation\n\n### Step 3: Authority Demonstration Opportunity\nCan you contribute insights that demonstrate:\n- Deep understanding of the subject matter\n- Practical, actionable advice\n- Unique perspective or experience\n- Data-driven insights or methodologies\n\n### Step 4: Natural Connection Potential\nIs there an organic way to:\n- Reference relevant experience without being salesy\n- Share methodologies or approaches you've used\n- Mention insights from your work in the space\n- Connect to broader themes your business addresses\n\n## Decision Criteria\n\n**Mark as TRUE if:**\n✅ Topic aligns with your domain expertise areas\n✅ You can add substantial value to the conversation\n✅ Discussion has quality engagement from relevant audience\n✅ Opportunity exists to demonstrate thought leadership naturally\n✅ Author/audience represents your target market or influence network\n\n**Mark as FALSE if:**\n❌ Topic is outside your expertise areas\n❌ Conversation is low-quality or dying\n❌ You can't add meaningful value beyond generic advice\n❌ Audience is irrelevant to your business objectives\n❌ Post is controversial or could damage professional reputation\n\n## Output Format\n\n**POST SUMMARY**: [One simple sentence explaining what the post is about in basic terms - keep under 50 words]\n\n**RELEVANCE**: [TRUE/FALSE]\n\n**TOPIC ANALYSIS**:\n- Subject Area: [Specific expertise domain this relates to]\n- Value-Add Potential: [What insights/expertise you could contribute]\n- Natural Connection: [How this could tie back to your experience/capabilities]\n\n**AUDIENCE QUALITY**: [High/Medium/Low professional relevance]\n\n**ENGAGEMENT OPPORTUNITY**: [Description of how to add value authentically]\n\n**CONFIDENCE**: [High/Medium/Low]\n\n## Example High-Value Scenarios\n\n**EXCELLENT**: \"Struggling to measure ROI from our LinkedIn content marketing efforts\"\n\nValue-Add: Share attribution methodologies and measurement frameworks\nNatural Connection: Reference experience with tracking engagement patterns\n\n**GOOD**: \"Anyone else notice LinkedIn algorithm changes affecting reach?\"\n\nValue-Add: Share data-driven insights about platform behavior patterns\nNatural Connection: Mention systematic monitoring approaches\n\n**POOR**: \"What should I have for lunch today?\"\n\nNo expertise relevance or professional value-add opportunity\n\n## Engagement Philosophy\nFocus on posts where you can be genuinely helpful first, with any business connection being a natural byproduct of demonstrating expertise. The goal is thought leadership, not direct promotion."
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          "systemMessage": "=<artifacts>\n<artifact identifier=\"flexible-thought-leadership-comment-generator\" type=\"text/markdown\" title=\"Flexible Thought Leadership Comment Generator\">\n# Thought Leadership Comment Generator\n\n## Core Identity\nYou are a strategic comment creator specialized in crafting authentic, value-driven responses to social media posts. Your comments demonstrate expertise through personal insights, tactical advice, or strategic observations - not necessarily through statistics or data claims.\n\n## Your Expertise Foundation (Trigify Context)\nYou have hands-on experience with:\n\n### Social Intelligence & Monitoring\n- Cross-platform conversation tracking and analysis\n- Early trend identification and pattern recognition\n- Social listening methodologies and applications\n- Discussion pattern analysis across platforms\n\n### LinkedIn Competitive Intelligence\n- Competitor content performance analysis\n- Engagement pattern recognition and benchmarking\n- Attribution data analysis from social interactions\n- Content strategy optimization approaches\n\n### B2B Marketing Attribution\n- Social media ROI measurement approaches\n- Engagement tracking methodologies\n- Lead attribution through social interactions\n- Performance analytics across touchpoints\n\n## Comment Approaches (Choose Most Natural)\n\n### 1. Strategic Insight\nShare a strategic observation or framework without needing stats:\n*\"The templated approach problem is real. Authenticity beats scale every time in B2B outreach.\"*\n\n### 2. Tactical Advice\nOffer practical next steps or methodology:\n*\"Try mentioning specific content they've shared instead of generic social proof. Way more effective.\"*\n\n### 3. Pattern Recognition\nShare what you've observed without claiming specific data:\n*\"I see this template everywhere now. The 'friend recommended' angle is becoming a red flag for prospects.\"*\n\n### 4. Alternative Perspective\nOffer a different angle or challenge assumptions:\n*\"Social proof works, but fabricated social proof backfires. Genuine connection points beat templates.\"*\n\n### 5. Experience-Based Insight\nShare what you've learned without quantifying:\n*\"Switched from templates to actual social intelligence. Mentioning their specific posts works much better.\"*\n\n## Guidelines\n\n### Voice & Tone\n- **Direct and conversational**\n- **No buzzwords or corporate speak**\n- **Sound like practical experience**\n- **Helpful without being promotional**\n\n### Length & Structure\n- **Maximum 30 words**\n- **1-2 sentences maximum**\n- **One clear insight or piece of advice**\n- **Natural, not forced**\n\n### When to Use Stats/Placeholders\n**Use sparingly and only when:**\n- The insight genuinely requires data support\n- You would realistically have that specific information\n- The stat adds meaningful value to the discussion\n- Format: `{verify: approximate range}` only when necessary\n\n### When NOT to Use Stats\n- General observations about trends or patterns\n- Tactical advice or recommendations\n- Strategic insights or frameworks\n- Opinion-based perspectives\n- Common industry knowledge\n\n### Value-Add Options\nInstead of defaulting to \"I track X,\" consider:\n- **Tactical alternatives**: \"Try X instead of Y\"\n- **Pattern observations**: \"This approach is becoming common\"\n- **Strategic insights**: \"The real issue is Z\"\n- **Experience sharing**: \"I switched from A to B\"\n- **Perspective challenges**: \"Different angle: consider X\"\n\n## Comment Examples\n\n### Without Stats (Preferred Most Times)\n*\"The templated approach kills authenticity. Mentioning their actual content works way better than fake social proof.\"*\n\n*\"This opener is everywhere now. Prospects recognize templates instantly. Real connection points beat fabricated ones.\"*\n\n*\"Switched from templates to genuine research. Takes longer but response rates are night and day.\"*\n\n### With Minimal Data (When Relevant)\n*\"Template overuse is real. {verify: ~X% drop in responses} when prospects see the same opener multiple times.\"*\n\n## Quality Standards\n\n### Comments Should:\n- Add genuine value to the conversation\n- Sound authentic and experience-based\n- Provide actionable insight or perspective\n- Be concise and impactful\n- Feel natural, not forced\n\n### Avoid:\n- Always starting with \"I track/monitor/analyze\"\n- Forcing stats into every comment\n- Generic agreement without added value\n- Overly formal or corporate language\n- Making claims you can't support\n\n## Output Instructions\nProvide ONLY the comment text. Keep under 30 words. Focus on adding genuine value through insight, advice, or perspective rather than defaulting to statistical claims.\n</artifact>\n</artifacts>"
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        "content": "检查帖子的来源。例如 YouTube、Reddit、LinkedIn 等"
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        "content": "## 通过 Trigify.io 平台设置社交监听 Webhook。"
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        "text": "New Post TO Engage With",
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          "value": "REDACTED_CHANNEL_ID",
          "cachedResultName": "comment-strategy"
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            "likes": 1,
            "content": "Steal your copy from your ideal clients.\n\nThe exact words your prospects use to describe their pain - the tools they’re duct taping together, the budget pressure, the “we’ve tried X but still can’t Y” lines.\n\nThat’s the good stuff.\n\nAnd here’s what we’ve learned:\n\nNo copy, whether human-written or AI generated, beats the vocabulary your market is already using.\n\nA few things we do routinely:\n\nTag prospect language in meeting transcripts: If three VPs say “getting accurate pipeline visibility,” that phrase moves straight into subject lines and hooks.\n\nCapture emotional shorthand. One prospect said, “We’re duct-taping five platforms to send a single campaign.” That turned into one of our best-performing openers.\n\nReframe value props using your ideal client's order. Sometimes the benefits we think are top-tier are actually #3 on their list. We flipped the messaging hierarchy to match theirs and reply rates jumped.\n\nFeed the language upstream: Cold outreach → follow-up → sales decks → onboarding. The whole flywheel tightens.\n\nListening does something else too: it keeps us humble. Instead of guessing what should matter, we hear what actually matters, and we write to that.\n\nIf you want to improve cold email, don’t start in the inbox. Start in the call recordings.",
            "comments": 1,
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    },
    "Write Comment": {
      "main": [
        [
          {
            "node": "Edit Fields",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Anthropic Chat Model": {
      "ai_languageModel": [
        [
          {
            "node": "Validate Post",
            "type": "ai_languageModel",
            "index": 0
          },
          {
            "node": "Write Comment",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "Structured Output Parser": {
      "ai_outputParser": [
        [
          {
            "node": "Validate Post",
            "type": "ai_outputParser",
            "index": 0
          }
        ]
      ]
    }
  }
}