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🎨 Brand Consistency Linter
It eliminates the "drift" that happens when taglines are updated or social links change, but old documentation isn't refreshed.
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See it in action
You say
Audit my project's README.md and footer.txt files against our brand spec to ensure consistency.
Your agent does
Brand Audit Results
Scope: README.md, footer.txt Findings:
- [High] Rule
v1-tagline: Inconsistent tagline inREADME.md:12. Found "Fastest AI tool", expected "The World's Pro-Grade AI Orchestrator". - [Med] Rule
link-check: Outdated Twitter URL infooter.txt:2. Remediation: Update tagline using snippetSNIP-04.
What you get
About this skill
Automated Brand Compliance for Developers
The Brand Consistency Linter is a specialized audit tool designed to ensure your project's public-facing surfaces—like GitHub bios, website footers, and profile READMEs—perfectly align with your official brand guidelines. It eliminates the "drift" that happens when taglines are updated or social links change, but old documentation isn't refreshed.
What it does
- Scans local Markdown and text files against a centralized
brand-spec.json. - Identifies inconsistent taglines, outdated brand names, and broken link patterns.
- Detects forgotten "INSERT LINK HERE" or "BRAND_NAME" placeholders.
- Provides structured findings including severity levels, line numbers, and rule IDs.
Why use this skill?
Unlike a general LLM prompt which might hallucinate or miss subtle inconsistencies, this skill uses a deterministic Python-based scanner backed by a formal specification. It acts as a linting layer for your brand identity, ensuring 100% adherence to your source of truth without the risk of an AI "improving" your copy in unauthorized ways. It provides actionable remediation snippets instead of just vague advice.
Output details
You receive a comprehensive audit report detailing the inspected scope, the specific rules applied, a categorized list of violations, and recommended copy fixes based on your approved remediation library.
How to install
Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.
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Creator
JustHandled Labs builds focused agent skills for the work nobody wants to do by hand. Each one is a single repeatable job done well: catching the security and data mistakes that quietly ship, keeping docs and tests honest, gating the commands an agent is about to run, sharpening writing, and handling the founder chores around launches, outreach, and brand setup. Not generic AI productivity. Specific workflows that are easy to run, review, and repeat. Maintained by H.J. Westerfield, with a background in communications, editing, project coordination, customer support, and practical AI systems. Tools for people who want useful automation without theatrical complexity.
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