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

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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

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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

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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:

text

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

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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