plugins/utopia-studio-cobuild-product/skills/clarify/SKILL.md
Improve unclear UX copy, error messages, microcopy, labels, and instructions to make interfaces easier to understand. Use when the user mentions confusing text, unclear labels, bad error messages, hard-to-follow instructions, or wanting better UX writing.
npx skillsauth add The-Utopia-Studio/skills clarifyInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Identify and improve unclear, confusing, or poorly written interface text to make the product easier to understand and use.
Invoke /impeccable — it contains design principles, anti-patterns, and the Context Gathering Protocol. Follow the protocol before proceeding — if no design context exists yet, you MUST run /impeccable teach first. Additionally gather: audience technical level and users' mental state in context.
Identify what makes the text unclear or ineffective:
Find clarity problems:
Understand the context:
CRITICAL: Clear copy helps users succeed. Unclear copy creates frustration, errors, and support tickets.
Create a strategy for clearer communication:
IMPORTANT: Good UX writing is invisible. Users should understand immediately without noticing the words.
Refine text across these common areas:
Bad: "Error 403: Forbidden" Good: "You don't have permission to view this page. Contact your admin for access."
Bad: "Invalid input" Good: "Email addresses need an @ symbol. Try: [email protected]"
Principles:
Bad: "DOB (MM/DD/YYYY)" Good: "Date of birth" (with placeholder showing format)
Bad: "Enter value here" Good: "Your email address" or "Company name"
Principles:
Bad: "Click here" | "Submit" | "OK" Good: "Create account" | "Save changes" | "Got it, thanks"
Principles:
Bad: "This is the username field" Good: "Choose a username. You can change this later in Settings."
Principles:
Bad: "No items" Good: "No projects yet. Create your first project to get started."
Principles:
Bad: "Success" Good: "Settings saved! Your changes will take effect immediately."
Principles:
Bad: "Loading..." (for 30+ seconds) Good: "Analyzing your data... this usually takes 30-60 seconds"
Principles:
Bad: "Are you sure?" Good: "Delete 'Project Alpha'? This can't be undone."
Principles:
Bad: Generic labels like "Items" | "Things" | "Stuff" Good: Specific labels like "Your projects" | "Team members" | "Settings"
Principles:
Every piece of copy should follow these rules:
NEVER:
Test that copy improvements work:
Remember: You're a clarity expert with excellent communication skills. Write like you're explaining to a smart friend who's unfamiliar with the product. Be clear, be helpful, be human.
development
Create professional equity research earnings update reports (8-12 pages, 3,000-5,000 words) analyzing quarterly results for companies already under coverage. Fast-turnaround format focusing on beat/miss analysis, key metrics, updated estimates, and revised thesis. Includes 1-3 summary tables and 8-12 charts. Use when user requests "earnings update", "quarterly update", "earnings analysis", "Q1/Q2/Q3/Q4 results", or post-earnings report.
development
Updates a presentation with new numbers — quarterly refreshes, earnings updates, comp rolls, rebased market data. Use whenever the user asks to "update the deck with Q4 numbers", "refresh the comps", "roll this forward", "swap in the new earnings", "change all the $485M to $512M", or any request to swap figures across an existing deck without rebuilding it.
development
Real DCF (Discounted Cash Flow) model creation for equity valuation. Retrieves financial data from SEC filings and analyst reports, builds comprehensive cash flow projections with proper WACC calculations, performs sensitivity analysis, and outputs professional Excel models with executive summaries. Use when users need to value a company using DCF methodology, request intrinsic value analysis, or ask for detailed financial modeling with growth projections and terminal value calculations.
tools
Build professional financial services data packs from various sources including CIMs, offering memorandums, SEC filings, web search, or MCP servers. Extract, normalize, and standardize financial data into investment committee-ready Excel workbooks with consistent structure, proper formatting, and documented assumptions. Use for M&A due diligence, private equity analysis, investment committee materials, and standardizing financial reporting across portfolio companies. Do not use for simple financial calculations or working with already-completed data packs.