{
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  "item": {
    "slug": "x-voice-match",
    "name": "X Voice Match",
    "source": "tencent",
    "type": "skill",
    "category": "开发工具",
    "sourceUrl": "https://clawhub.ai/gravyxbt/x-voice-match",
    "canonicalUrl": "https://clawhub.ai/gravyxbt/x-voice-match",
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    "installMethod": "Manual import",
    "extraction": "Extract archive",
    "prerequisites": [
      "OpenClaw"
    ],
    "packageFormat": "ZIP package",
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      "SKILL.md",
      "scripts/analyze_voice.py",
      "scripts/generate_post.py",
      "references/post-types.md"
    ],
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    "quickSetup": [
      "Download the package from Yavira.",
      "Extract the archive and review SKILL.md first.",
      "Import or place the package into your OpenClaw setup."
    ],
    "agentAssist": {
      "summary": "Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.",
      "steps": [
        "Download the package from Yavira.",
        "Extract it into a folder your agent can access.",
        "Paste one of the prompts below and point your agent at the extracted folder."
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      "prompts": [
        {
          "label": "New install",
          "body": "I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete."
        },
        {
          "label": "Upgrade existing",
          "body": "I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run."
        }
      ]
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      "checkedAt": "2026-05-07T17:22:31.273Z",
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      },
      "scope": "source",
      "summary": "Source download looks usable.",
      "detail": "Yavira can redirect you to the upstream package for this source.",
      "primaryActionLabel": "Download for OpenClaw",
      "primaryActionHref": "/downloads/x-voice-match"
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        "Use the Yavira download entry.",
        "Review SKILL.md after the package is downloaded.",
        "Confirm the extracted package contains the expected setup assets."
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        "Confirm the extracted package includes the expected docs or setup files.",
        "Validate the skill or prompts are available in your target agent workspace.",
        "Capture any manual follow-up steps the agent could not complete."
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    "downloadPageUrl": "https://openagent3.xyz/downloads/x-voice-match",
    "agentPageUrl": "https://openagent3.xyz/skills/x-voice-match/agent",
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    "briefUrl": "https://openagent3.xyz/skills/x-voice-match/agent.md"
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  "agentAssist": {
    "summary": "Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.",
    "steps": [
      "Download the package from Yavira.",
      "Extract it into a folder your agent can access.",
      "Paste one of the prompts below and point your agent at the extracted folder."
    ],
    "prompts": [
      {
        "label": "New install",
        "body": "I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete."
      },
      {
        "label": "Upgrade existing",
        "body": "I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run."
      }
    ]
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  "documentation": {
    "source": "clawhub",
    "primaryDoc": "SKILL.md",
    "sections": [
      {
        "title": "X Voice Match",
        "body": "Analyze Twitter/X accounts to extract posting patterns and generate authentic content that matches the account owner's unique voice."
      },
      {
        "title": "Quick Start",
        "body": "Step 1: Analyze the account\n\ncd /data/workspace/skills/x-voice-match\npython3 scripts/analyze_voice.py @username [--tweets 50] [--output profile.json]\n\nStep 2: Generate posts\n\npython3 scripts/generate_post.py --profile profile.json --topic \"your topic\" [--count 3]\n\nOr use the all-in-one approach:\n\npython3 scripts/generate_post.py --account @username --topic \"AI agents taking over\" --count 5"
      },
      {
        "title": "What It Analyzes",
        "body": "The skill extracts:\n\nLength patterns: Tweet character counts, thread usage, one-liner vs paragraph style\nTone markers: Humor style, sarcasm, self-deprecation, edginess level\nTopics: Crypto, AI, tech, memes, personal life, current events\nEngagement patterns: QT vs original, reaction tweets, conversation starters\nLanguage patterns: Specific phrases, slang, emoji usage, punctuation style\nContent types: Observations, hot takes, memes, threads, questions, personal stories"
      },
      {
        "title": "Voice Profile (JSON)",
        "body": "{\n  \"account\": \"@gravyxbt_\",\n  \"analyzed_tweets\": 50,\n  \"patterns\": {\n    \"avg_length\": 85,\n    \"length_distribution\": {\"short\": 0.6, \"medium\": 0.3, \"long\": 0.1},\n    \"uses_threads\": false,\n    \"humor_style\": \"self-deprecating, ironic\",\n    \"topics\": [\"crypto\", \"AI agents\", \"memes\", \"current events\"],\n    \"engagement_type\": \"reactive QT heavy\",\n    \"signature_phrases\": [\"lmao\", \"fr\", \"based\"],\n    \"emoji_usage\": \"minimal, strategic\",\n    \"punctuation\": \"lowercase, casual\"\n  }\n}"
      },
      {
        "title": "Generated Posts",
        "body": "Returns 1-N posts with confidence scores and reasoning."
      },
      {
        "title": "Integration with Existing Tools",
        "body": "Works with Bird CLI (/data/workspace/bird.sh):\n\n# Fetch fresh tweets for analysis\n./bird.sh user-tweets @gravyxbt_ -n 50 > recent_tweets.txt\npython3 scripts/analyze_voice.py --input recent_tweets.txt"
      },
      {
        "title": "Post Type Templates",
        "body": "See references/post-types.md for common X post frameworks:\n\nObservations\nHot takes\nSelf-deprecating humor\nCrypto commentary\nReaction posts\nQuestions"
      },
      {
        "title": "Update Voice Profile",
        "body": "Re-analyze periodically to capture style evolution:\n\npython3 scripts/analyze_voice.py @username --update profile.json"
      },
      {
        "title": "Generate by Post Type",
        "body": "python3 scripts/generate_post.py --profile profile.json --type \"hot-take\" --topic \"crypto\""
      },
      {
        "title": "Batch Generation",
        "body": "python3 scripts/generate_post.py --profile profile.json --batch topics.txt --output posts.json"
      },
      {
        "title": "Workflow",
        "body": "First time: Run full analysis on 30-50 tweets\nGenerate posts: Provide topic, get 3-5 style-matched options\nUser picks: Select best option or iterate with feedback\nPeriodic updates: Re-analyze monthly or after major voice shifts"
      },
      {
        "title": "Tips",
        "body": "Minimum tweets: 30 tweets for basic analysis, 50+ for accuracy\nRecency matters: Recent tweets reflect current style better than old ones\nTopic relevance: Generated posts work best on topics the account normally covers\nConfidence scores: <70% = may not sound authentic, revise or regenerate"
      }
    ],
    "body": "X Voice Match\n\nAnalyze Twitter/X accounts to extract posting patterns and generate authentic content that matches the account owner's unique voice.\n\nQuick Start\n\nStep 1: Analyze the account\n\ncd /data/workspace/skills/x-voice-match\npython3 scripts/analyze_voice.py @username [--tweets 50] [--output profile.json]\n\n\nStep 2: Generate posts\n\npython3 scripts/generate_post.py --profile profile.json --topic \"your topic\" [--count 3]\n\n\nOr use the all-in-one approach:\n\npython3 scripts/generate_post.py --account @username --topic \"AI agents taking over\" --count 5\n\nWhat It Analyzes\n\nThe skill extracts:\n\nLength patterns: Tweet character counts, thread usage, one-liner vs paragraph style\nTone markers: Humor style, sarcasm, self-deprecation, edginess level\nTopics: Crypto, AI, tech, memes, personal life, current events\nEngagement patterns: QT vs original, reaction tweets, conversation starters\nLanguage patterns: Specific phrases, slang, emoji usage, punctuation style\nContent types: Observations, hot takes, memes, threads, questions, personal stories\nOutput Format\nVoice Profile (JSON)\n{\n  \"account\": \"@gravyxbt_\",\n  \"analyzed_tweets\": 50,\n  \"patterns\": {\n    \"avg_length\": 85,\n    \"length_distribution\": {\"short\": 0.6, \"medium\": 0.3, \"long\": 0.1},\n    \"uses_threads\": false,\n    \"humor_style\": \"self-deprecating, ironic\",\n    \"topics\": [\"crypto\", \"AI agents\", \"memes\", \"current events\"],\n    \"engagement_type\": \"reactive QT heavy\",\n    \"signature_phrases\": [\"lmao\", \"fr\", \"based\"],\n    \"emoji_usage\": \"minimal, strategic\",\n    \"punctuation\": \"lowercase, casual\"\n  }\n}\n\nGenerated Posts\n\nReturns 1-N posts with confidence scores and reasoning.\n\nIntegration with Existing Tools\n\nWorks with Bird CLI (/data/workspace/bird.sh):\n\n# Fetch fresh tweets for analysis\n./bird.sh user-tweets @gravyxbt_ -n 50 > recent_tweets.txt\npython3 scripts/analyze_voice.py --input recent_tweets.txt\n\nPost Type Templates\n\nSee references/post-types.md for common X post frameworks:\n\nObservations\nHot takes\nSelf-deprecating humor\nCrypto commentary\nReaction posts\nQuestions\nAdvanced Usage\nUpdate Voice Profile\n\nRe-analyze periodically to capture style evolution:\n\npython3 scripts/analyze_voice.py @username --update profile.json\n\nGenerate by Post Type\npython3 scripts/generate_post.py --profile profile.json --type \"hot-take\" --topic \"crypto\"\n\nBatch Generation\npython3 scripts/generate_post.py --profile profile.json --batch topics.txt --output posts.json\n\nWorkflow\nFirst time: Run full analysis on 30-50 tweets\nGenerate posts: Provide topic, get 3-5 style-matched options\nUser picks: Select best option or iterate with feedback\nPeriodic updates: Re-analyze monthly or after major voice shifts\nTips\nMinimum tweets: 30 tweets for basic analysis, 50+ for accuracy\nRecency matters: Recent tweets reflect current style better than old ones\nTopic relevance: Generated posts work best on topics the account normally covers\nConfidence scores: <70% = may not sound authentic, revise or regenerate"
  },
  "trust": {
    "sourceLabel": "tencent",
    "provenanceUrl": "https://clawhub.ai/gravyxbt/x-voice-match",
    "publisherUrl": "https://clawhub.ai/gravyxbt/x-voice-match",
    "owner": "gravyxbt",
    "version": "1.0.0",
    "license": null,
    "verificationStatus": "Indexed source record"
  },
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