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- personal fashion styling agent
personal fashion styling agent
A wardrobe-first styling agent that generates cohesive, occasion-ready outfits using your existing clothes.
$5
Works with the AI Agents you already use
personal fashion styling agent
Example session with this skill installed
I have a business casual conference in Seattle next week. It will be rainy and 55 degrees. I have: black slacks, navy chinos, white button-down, grey sweater, tan trench coat, and brown loafers.
- Read your context and instructions
- Compiled the personal fashion styling
I have organized your wardrobe into three cohesive looks that prioritize warmth and the business casual dress code while accounting for the Seattle rain.
Recommended Outfits
Outfit 1: The Polished Professional
- Items: White button-down, navy chinos, tan trench coat, brown loafers.
- Why it works: The navy and tan create a classic high-contrast palette. The trench coat provides the necessary weather protection while maintaining a structured, professional silhouette.
- Variation: Swap navy chinos for black slacks → creates a more formal, monochrome base that pairs well with the tan outer layer.
Outfit 2: Layered Comfort
- Items: Grey sweater (over white button-down), black slacks, tan trench coat, brown loafers.
- Why it works: Layering the sweater adds essential warmth for 55-degree weather. The grey and black tones are practical for a rainy environment and look sharp for a conference setting.
- Variation: Wear the sweater alone with the navy chinos → a more relaxed look for evening networking or travel.
Outfit 3: Modern Minimalist
- Items: White button-down, black slacks, tan trench coat, brown loafers.
- Why it works: A clean, low-complexity look that relies on the fit of the basics. The trench coat acts as the statement piece and primary weather barrier.
- Variation: Add a dark scarf (if you have one) → adds texture and extra protection against the wind.
Wardrobe Gap (none - you have what you need)
Note: You have a solid foundation of versatile neutrals. These combinations will keep you dry and professional throughout the conference without needing any new pieces.
Next steps
- Confirm if you have a waterproof spray for the loafers given the rain.
- Check if you need a specific bag or briefcase to complete these looks.
- Let me know if you want a travel-day outfit using these same items.
Connects securely to your tools. The creator never sees your data.
About this skill
The problem
Building a wardrobe often leads to decision fatigue, wasted money on unworn clothes, and a "closet full of nothing to wear." Coordinating outfits for specific events while respecting budget and comfort constraints is a manual, frustrating process.
What it does
- Analyzes existing wardrobe inventory to maximize current pieces before suggesting purchases.
- Generates 3-5 cohesive outfit combinations including base layers, outerwear, shoes, and accessories.
- Adapts styling logic to specific dress codes, seasonal weather, and mobility requirements.
- Identifies strategic wardrobe gaps that unlock the most variety across multiple outfits.
- Applies body-positive, neutral framing to ensure styling advice focuses on silhouette and comfort.
Why this beats prompting it yourself
General LLMs often default to suggesting new purchases or generic fashion advice. This skill follows a strict "existing-first" workflow with a built-in validation step to check for practicality, weather appropriateness, and budget adherence, ensuring recommendations are actually wearable.
Use cases
- Coordinate a capsule wardrobe for a week-long business trip with carry-on luggage only.
- Style an existing dress for a specific seasonal wedding without buying new accessories.
- Create a "smart casual" work rotation using a limited set of favorite wardrobe staples.
- Identify the single most impactful item to purchase that maximizes current clothing options.
Known limitations
Requires the user to provide a descriptive list of their current wardrobe items to be effective. Does not handle visual image analysis of clothing photos directly.
Requires text-based descriptions of wardrobe items. Effectiveness depends on the detail of user-provided inventory.
How to use
- 1
Connect your agent to the Agensi MCP
Copy the prompt and paste it into Claude, ChatGPT, Cursor or any agent that supports MCP. It sets up the connection for you. Manual setup
- 2
Sign in to Agensi
Your agent shows a sign-in link. Sign in and click Allow.
- 3
Ask for what you need
Your agent loads this skill and uses it on your task. It always asks before any payment.
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