x-voice-match_skill

Overview

This skill analyzes an X (Twitter) account’s posting patterns and generates posts that match the account owner’s unique voice. It produces a structured voice profile and style-matched post suggestions, including confidence scores and reasoning. Use it to maintain consistent voice, draft tweets quickly, or study posting behavior over time.

How this skill works

The skill ingests a sample of recent tweets or a tweet export and extracts measurable patterns: length distributions, tone markers, topic focus, engagement style, signature phrases, emoji and punctuation habits, and content types. It builds a JSON voice profile and uses that profile to generate 1–N candidate posts for a given topic or post type, annotating each candidate with a confidence score and a short justification.

When to use it

• Create X posts that sound like a specific account
• Maintain consistent voice across multiple posts or accounts
• Analyze posting patterns for content strategy or archival research
• Generate batches of topic-aligned posts in the target voice
• Recreate voice for accounts with public archives or backups

Best practices

• Analyze 30–50 recent tweets for a reliable profile; 50+ increases accuracy
• Prefer recent tweets to capture current tone and topics
• Limit generation to topics the account commonly covers for higher authenticity
• Review and edit generated posts before publishing; confidence <70% may need iteration
• Re-run analysis periodically to capture voice evolution

Example use cases

• Produce 3–5 style-matched tweet options for a conference thread
• Audit an account’s engagement patterns to inform posting schedule and CTAs
• Batch-generate themed posts (crypto takes, memes, observations) that match voice
• Recover a consistent posting style from an archived account for backup or migration
• Create reaction posts and hot takes aligned with the account’s typical phrasing