skills-realestate

Four AI skills for real estate agents using Claude Code. One install drops them all into ~/.claude/skills/ and makes them invocable as slash commands.

Part of the EcoFiClaw professional skills ecosystem.

Install

npx @gonzih/skills-realestate

Then restart Claude Code. All four skills are ready.

Manual install: Copy any skills/<skill-name>/SKILL.md to ~/.claude/skills/<skill-name>/SKILL.md.

The 4 skills

/listing-writer

Write MLS listings and marketing copy from property specs.

Give Claude the basics — beds, baths, sqft, key features, price, target buyer — and get back:

• A punchy 150-word MLS description
• A narrative 400-word website/marketing version
• Three Instagram captions with hashtags

Trigger phrases: listing description, write listing, property description, MLS listing, listing copy

/market-report

Generate a professional market conditions report for any area.

Input an area, property type, price range, and whether this is for a listing appointment, buyer consult, or newsletter. Get back:

• A market narrative with supply/demand analysis (you fill in your MLS numbers)
• A buyer's market / seller's market determination with reasoning
• Separate "what this means for you" sections for buyers and sellers
• Three talking points for your live presentation
• A 200-word client newsletter blurb, ready to send

Trigger phrases: market report, market analysis, CMA, market conditions, neighborhood market, real estate market update

/client-followup

Write warm, professional follow-up emails and texts for every client scenario.

Tell Claude the scenario and the client details. Get back:

• Three subject line options
• A 150–200 word email (warm but never pushy)
• A 3–4 sentence SMS version
• Day-3 and day-7 follow-up messages if there's no reply

Scenarios covered:

• After a showing (loved it / didn't love it / on the fence)
• After an offer is rejected
• Price reduction conversation with a seller
• Reactivating a buyer who went quiet 3–12 months ago
• Post-closing thank you with referral ask
• Open house follow-up

Trigger phrases: follow up email, client follow up, after showing, nurture email, buyer follow up, seller follow up, open house follow up

/offer-analyzer

Analyze offers, score their strength, flag risks, recommend a counter strategy, and build a seller presentation.

Input the offer terms — price, earnest money, down payment, financing type, contingencies, close date. Get back:

• A 1–10 strength score per offer across four dimensions
• Risk flags in plain English
• A clear recommendation (not a menu of options — an actual recommendation)
• Specific counter-offer terms with what's reasonable vs. aggressive
• A one-page offer comparison table to show the seller

Works for single offers and multi-offer situations.

Trigger phrases: analyze offer, review offer, offer terms, counter offer, offer comparison, evaluate offer

Who this is for

Real estate agents who use Claude Code or Claude via Telegram and want AI that understands their workflow — not generic AI that needs to be re-educated every session. These skills encode the professional knowledge so Claude can act like a skilled transaction coordinator and marketing partner from the first message.

License

MIT