Output Style Audit
Analyzes generated text for adherence to specified style guides, tone, and brand voice guidelines.
Install on your platform
We auto-selected Claude Code based on this skill’s supported platforms.
Run in terminal (recommended)
claude mcp add output-style-audit npx -- -y @trustedskills/output-style-audit
Or manually add to ~/.claude/settings.json
{
"mcpServers": {
"output-style-audit": {
"command": "npx",
"args": [
"-y",
"@trustedskills/output-style-audit"
]
}
}
}Requires Claude Code (claude CLI). Run claude --version to verify your install.
About This Skill
What it does
This skill analyzes text output from an AI agent and provides feedback on its style, consistency, and adherence to specified guidelines. It identifies potential areas for improvement in tone, formatting, and clarity. The audit aims to ensure the AI's communication is professional, effective, and aligned with desired brand or project standards.
When to use it
- Refining documentation: Assess the stylistic quality of automatically generated user manuals or API references.
- Improving chatbot responses: Evaluate a chatbot’s conversational style for consistency and appropriateness.
- Standardizing code comments: Check that AI-generated code comments follow established formatting conventions.
- Reviewing marketing copy: Analyze draft email campaigns or social media posts produced by an AI assistant.
Key capabilities
- Style analysis
- Consistency checks
- Guideline adherence assessment
- Feedback generation
Example prompts
- "Audit the following text for tone and clarity: [paste text here]"
- "Analyze this code comment block for formatting consistency: [paste comments here]"
- "Check if the output below aligns with our brand's voice guidelines: [paste text here]"
Tips & gotchas
The effectiveness of this skill depends on having clear style guides or examples to compare against. Providing specific instructions regarding desired tone and format will yield more targeted feedback.
Tags
TrustedSkills Verification
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Security Audits
| Gen Agent Trust Hub | Pass |
| Socket | Pass |
| Snyk | Pass |
🌐 Community
Passed automated security scans.