How do I install the Activity Recommender skill?

Run npx skillmds@latest add davidparry/activity-recommender in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Activity Recommender safe to use?

This skill has not completed SkillMD's automated safety review yet. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Activity Recommender?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Activity Recommender free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Activity Recommender?

davidparry (@davidparry) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Activity Recommender by davidparry — Agent Skill

Name: Activity Recommender
Author: davidparry

File contents

Activity Recommender Skill

Follow this procedure exactly to recommend activities. All business logic lives here — do the arithmetic yourself, step by step, then produce the result.

Procedure

Compute the customer's age in full years from their birth date to the current date, birthday-aware (subtract a year if this year's birthday has not happened yet).
Determine the age band and generation from the tables below.
Determine the discount rate from the customer's age.
From the catalog, keep only activities that are eligible: the age is within the activity's [min, max] range AND the activity's category matches one of the customer's interests (case-insensitive).
For each eligible activity, compute final price = round(base * (1 - rate), 2) and drop any whose final price exceeds the budget.
Rank the survivors and return the top 5.

Age band

0-12 -> child, 13-17 -> teen, 18-25 -> young-adult, 26-40 -> adult, 41-64 -> middle-age, 65+ -> senior

Generation (by birth year)

<=1945 silent-generation, 1946-1964 baby-boomer, 1965-1980 generation-x, 1981-1996 millennial, 1997-2012 generation-z, >=2013 generation-alpha

Discount rate (by age)

0-17 -> 0.15, 18-25 -> 0.10, 65+ -> 0.20, otherwise -> 0.00

Ranking (best-first)

Score = interest_priority * 10 + affordability_bonus, where

interest_priority: matched category is the customer's Nth interest (1-based) -> (interest_count - N + 1); earlier interests score higher.
affordability_bonus: round((1 - final_price / max_budget) * 5), clamped >= 0. Sort by score descending, then cheaper final price, then name.

---name: activity-recommenderdescription: Recommend budget-appropriate activities for a customer from their birth date, ZIP code, interests, and budget. Contains all age, generation, discount, catalog, eligibility, and ranking logic.---# Activity Recommender SkillFollow this procedure exactly to recommend activities. All business logic liveshere — do the arithmetic yourself, step by step, then produce the result.## Procedure1. Compute the customer's **age** in full years from their birth date to the current date, birthday-aware (subtract a year if this year's birthday has not happened yet).2. Determine the **age band** and **generation** from the tables below.3. Determine the **discount rate** from the customer's age.4. From the **catalog**, keep only activities that are **eligible**: the age is within the activity's [min, max] range AND the activity's category matches one of the customer's interests (case-insensitive).5. For each eligible activity, compute `final price = round(base * (1 - rate), 2)` and **drop** any whose final price exceeds the budget.6. **Rank** the survivors and return the top 5.## Age band- 0-12 -> child, 13-17 -> teen, 18-25 -> young-adult, 26-40 -> adult, 41-64 -> middle-age, 65+ -> senior## Generation (by birth year)- <=1945 silent-generation, 1946-1964 baby-boomer, 1965-1980 generation-x, 1981-1996 millennial, 1997-2012 generation-z, >=2013 generation-alpha## Discount rate (by age)- 0-17 -> 0.15, 18-25 -> 0.10, 65+ -> 0.20, otherwise -> 0.00## Catalog (name | category | base USD | min age | max age)- Guided Nature Walk | hiking | 20 | 5 | 90- Mountain Hiking Tour | hiking | 45 | 12 | 75- Jazz Club Evening | music | 60 | 21 | 99- Live Music Festival | music | 120 | 16 | 99- Pottery Workshop | crafts | 55 | 10 | 90- Italian Cooking Class | cooking | 80 | 14 | 90- City Museum Pass | museums | 25 | 0 | 120- Road Cycling Group Ride | cycling | 35 | 14 | 70- Beginner Yoga Retreat | yoga | 90 | 16 | 90- Esports Gaming Arena | gaming | 30 | 10 | 45- Kayaking Adventure | kayaking | 70 | 12 | 65- Wine Tasting Tour | wine | 95 | 21 | 99## Ranking (best-first)Score = interest_priority * 10 + affordability_bonus, where- interest_priority: matched category is the customer's Nth interest (1-based) -> (interest_count - N + 1); earlier interests score higher.- affordability_bonus: round((1 - final_price / max_budget) * 5), clamped >= 0.Sort by score descending, then cheaper final price, then name.

Frequently asked questions

Activity Recommender