# Send X Voice Match to your agent
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
## Fast path
- 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.
## Suggested prompts
### New install

```text
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.
```
### Upgrade existing

```text
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.
```
## Machine-readable fields
```json
{
  "schemaVersion": "1.0",
  "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",
    "targetPlatform": "OpenClaw"
  },
  "install": {
    "downloadUrl": "/downloads/x-voice-match",
    "sourceDownloadUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=x-voice-match",
    "sourcePlatform": "tencent",
    "targetPlatform": "OpenClaw",
    "packageFormat": "ZIP package",
    "primaryDoc": "SKILL.md",
    "includedAssets": [
      "SKILL.md",
      "scripts/analyze_voice.py",
      "scripts/generate_post.py",
      "references/post-types.md"
    ],
    "downloadMode": "redirect",
    "sourceHealth": {
      "source": "tencent",
      "status": "healthy",
      "reason": "direct_download_ok",
      "recommendedAction": "download",
      "checkedAt": "2026-05-07T17:22:31.273Z",
      "expiresAt": "2026-05-14T17:22:31.273Z",
      "httpStatus": 200,
      "finalUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=afrexai-annual-report",
      "contentType": "application/zip",
      "probeMethod": "head",
      "details": {
        "probeUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=afrexai-annual-report",
        "contentDisposition": "attachment; filename=\"afrexai-annual-report-1.0.0.zip\"",
        "redirectLocation": null,
        "bodySnippet": null
      },
      "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"
    },
    "validation": {
      "installChecklist": [
        "Use the Yavira download entry.",
        "Review SKILL.md after the package is downloaded.",
        "Confirm the extracted package contains the expected setup assets."
      ],
      "postInstallChecks": [
        "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."
      ]
    }
  },
  "links": {
    "detailUrl": "https://openagent3.xyz/skills/x-voice-match",
    "downloadUrl": "https://openagent3.xyz/downloads/x-voice-match",
    "agentUrl": "https://openagent3.xyz/skills/x-voice-match/agent",
    "manifestUrl": "https://openagent3.xyz/skills/x-voice-match/agent.json",
    "briefUrl": "https://openagent3.xyz/skills/x-voice-match/agent.md"
  }
}
```
## Documentation

### X Voice Match

Analyze Twitter/X accounts to extract posting patterns and generate authentic content that matches the account owner's unique voice.

### Quick Start

Step 1: Analyze the account

cd /data/workspace/skills/x-voice-match
python3 scripts/analyze_voice.py @username [--tweets 50] [--output profile.json]

Step 2: Generate posts

python3 scripts/generate_post.py --profile profile.json --topic "your topic" [--count 3]

Or use the all-in-one approach:

python3 scripts/generate_post.py --account @username --topic "AI agents taking over" --count 5

### What It Analyzes

The skill extracts:

Length patterns: Tweet character counts, thread usage, one-liner vs paragraph style
Tone markers: Humor style, sarcasm, self-deprecation, edginess level
Topics: Crypto, AI, tech, memes, personal life, current events
Engagement patterns: QT vs original, reaction tweets, conversation starters
Language patterns: Specific phrases, slang, emoji usage, punctuation style
Content types: Observations, hot takes, memes, threads, questions, personal stories

### Voice Profile (JSON)

{
  "account": "@gravyxbt_",
  "analyzed_tweets": 50,
  "patterns": {
    "avg_length": 85,
    "length_distribution": {"short": 0.6, "medium": 0.3, "long": 0.1},
    "uses_threads": false,
    "humor_style": "self-deprecating, ironic",
    "topics": ["crypto", "AI agents", "memes", "current events"],
    "engagement_type": "reactive QT heavy",
    "signature_phrases": ["lmao", "fr", "based"],
    "emoji_usage": "minimal, strategic",
    "punctuation": "lowercase, casual"
  }
}

### Generated Posts

Returns 1-N posts with confidence scores and reasoning.

### Integration with Existing Tools

Works with Bird CLI (/data/workspace/bird.sh):

# Fetch fresh tweets for analysis
./bird.sh user-tweets @gravyxbt_ -n 50 > recent_tweets.txt
python3 scripts/analyze_voice.py --input recent_tweets.txt

### Post Type Templates

See references/post-types.md for common X post frameworks:

Observations
Hot takes
Self-deprecating humor
Crypto commentary
Reaction posts
Questions

### Update Voice Profile

Re-analyze periodically to capture style evolution:

python3 scripts/analyze_voice.py @username --update profile.json

### Generate by Post Type

python3 scripts/generate_post.py --profile profile.json --type "hot-take" --topic "crypto"

### Batch Generation

python3 scripts/generate_post.py --profile profile.json --batch topics.txt --output posts.json

### Workflow

First time: Run full analysis on 30-50 tweets
Generate posts: Provide topic, get 3-5 style-matched options
User picks: Select best option or iterate with feedback
Periodic updates: Re-analyze monthly or after major voice shifts

### Tips

Minimum tweets: 30 tweets for basic analysis, 50+ for accuracy
Recency matters: Recent tweets reflect current style better than old ones
Topic relevance: Generated posts work best on topics the account normally covers
Confidence scores: <70% = may not sound authentic, revise or regenerate
## Trust
- Source: tencent
- Verification: Indexed source record
- Publisher: gravyxbt
- Version: 1.0.0
## Source health
- Status: healthy
- Source download looks usable.
- Yavira can redirect you to the upstream package for this source.
- Health scope: source
- Reason: direct_download_ok
- Checked at: 2026-05-07T17:22:31.273Z
- Expires at: 2026-05-14T17:22:31.273Z
- Recommended action: Download for OpenClaw
## Links
- [Detail page](https://openagent3.xyz/skills/x-voice-match)
- [Send to Agent page](https://openagent3.xyz/skills/x-voice-match/agent)
- [JSON manifest](https://openagent3.xyz/skills/x-voice-match/agent.json)
- [Markdown brief](https://openagent3.xyz/skills/x-voice-match/agent.md)
- [Download page](https://openagent3.xyz/downloads/x-voice-match)