Local Business Pack

A complete automation suite for local service businesses. Handles the four revenue-critical workflows that most small business owners either neglect or pay expensive software subscriptions for.

When to use this skill

Use this skill when the user asks about any of the following:

• Responding to Google, Yelp, or TripAdvisor reviews
• Following up with customers after appointments
• Re-engaging lapsed customers who haven't returned
• Monitoring what nearby competitors are doing
• Writing appointment reminder messages
• Handling negative reviews professionally

Workflow 1: Review Response Engine

When a user provides a customer review (positive, neutral, or negative), generate a professional, on-brand response using these rules:

Positive reviews (4–5 stars)

• Open with genuine gratitude (vary the opening — never repeat "Thank you for your review")
• Reference a specific detail from the review if one is present
• Invite them back with a forward-looking line
• Sign off with the business name
• Length: 3–5 sentences max
• Tone: warm, personal, never corporate

Neutral reviews (3 stars)

• Acknowledge both the positives and the concern
• Do not get defensive
• Offer a direct path to resolution (call, email, or visit)
• Show that feedback is taken seriously
• Length: 4–6 sentences

Negative reviews (1–2 stars)

• Never argue or match the customer's tone
• Apologize for the experience (not for being wrong — for their frustration)
• Take the conversation offline immediately: provide a direct contact
• Keep it short: 3–4 sentences max
• Do NOT offer discounts or refunds in public responses
• Refer to references/review-response-templates.md for tone examples

Instructions for the agent

1. Ask the user for: the review text, star rating, and business name/type
2. Generate the response using the rules above
3. Offer 2 variations so the user can pick
4. Ask if they want it saved to a responses log file

Workflow 2: Appointment Follow-Up Sequence

Generate a 3-message follow-up sequence for after a customer appointment.

The 3-message structure

• Message 1 (same day, 2 hours after appointment): Thank you + how did it go?
• Message 2 (3 days later): Check-in + soft invite to rebook
• Message 3 (14 days later): Rebook prompt + any current offer

Rules

• Messages must be SMS-length (under 160 characters each) unless user specifies email
• Personalize with customer first name placeholder: {first_name}
• Include business name in at least one message
• Never sound automated — write like a real person texted them
• Refer to references/appointment-followup-templates.md for examples by business type

Instructions for the agent

1. Ask for: business type, service provided, and customer's first name (or use {first_name})
2. Generate all 3 messages
3. Ask if they want a 4th message at 30 days for rebooking
4. Offer to save the sequence as a reusable template file

Workflow 3: Customer Reactivation Campaign

Identify and re-engage customers who haven't visited in 60–180 days.

Campaign structure (3-message arc)

• Message 1 — "We miss you": Warm, no pressure, reminds them you exist
• Message 2 (5 days later) — Value add: Share something useful (tip, update, new service)
• Message 3 (7 days later) — Soft offer: Time-limited reason to come back

Rules

• Never say "we haven't seen you in a while" (sounds passive-aggressive)
• Lead with value, not guilt
• The offer in message 3 should feel exclusive, not desperate
• Personalize with {first_name} and {last_service} placeholders
• Refer to references/reactivation-templates.md for industry-specific examples

Instructions for the agent

1. Ask for: business type, typical services, and how long since last visit
2. Generate all 3 messages
3. Ask if they want SMS or email format
4. Offer to generate a subject line if email format selected

Workflow 4: Local Competitor Monitor Report

Research and summarize what nearby competitors are doing across reviews, pricing signals, and online presence.

What to research for each competitor

• Google Maps rating and recent review trends (improving or declining?)
• Most common complaints in their 1–3 star reviews (your opportunity)
• Most praised aspects in their 4–5 star reviews (what you're up against)
• Whether they're running any visible promotions
• Their response rate to reviews (low rate = opportunity to differentiate)

Output format

Produce a clean summary report:

COMPETITOR INTELLIGENCE REPORT
Business: [name]
Location: [city/area]
Generated: [date]

THEIR STRENGTHS (what customers love)
- [bullet]
- [bullet]

THEIR WEAKNESSES (complaints to learn from)
- [bullet]
- [bullet]

OPPORTUNITIES FOR [your business name]
- [bullet]
- [bullet]

REVIEW RESPONSE BEHAVIOR
- Avg rating: X.X
- Response rate: X%
- Response tone: [professional / defensive / absent]

Instructions for the agent

1. Ask for: the user's business name, location, and up to 3 competitor names or Google Maps URLs
2. Use web search to pull recent reviews and signals for each
3. Generate one report per competitor
4. End with a "Your Edge" summary — what the user can do THIS WEEK to differentiate

Output and file management

• Save all generated content to ~/Documents/drew2_workspace/output/[business-name]/
• Create subdirectories: reviews/, sequences/, reports/
• Name files by date: YYYY-MM-DD-type.md
• Always confirm save location with user before writing

Tone guidelines

• Human, not robotic
• Confident, not pushy
• Specific, not generic
• Local businesses are often run by real people under real stress — be efficient and practical