编程

subscription-slayer

Tracks subscriptions, calculates monthly and annual costs, detects likely-unused services based on last-used patterns, and generates ready-to-send cancellation email templates. Helps users stop wasting money on forgotten subscriptions.

它能做什么

技能文档

Subscription Slayer

Find and slay the subscriptions draining your wallet every month.

When to use

The user wants to audit their recurring subscriptions.
The user wants to know how much they spend monthly/yearly on subscriptions.
The user suspects they're paying for services they don't use.
The user wants to cancel a subscription and needs a cancellation email.

How it works

Receive a list of subscriptions as JSON (see format below).
Run scripts/subscription_tracker.py analyze subs.json to get:
- Monthly and annual cost totals
- Each subscription ranked by waste probability (how likely it's unused)
- Ready-to-send cancellation email templates for high-waste subscriptions
The agent presents the analysis and offers to generate/send cancellation emails.

Subscription JSON Format

[
  {
    "name": "Netflix",
    "cost": 15.49,
    "billing_cycle": "monthly",
    "category": "entertainment",
    "last_used": "2024-01-15",
    "start_date": "2022-03-01",
    "auto_renew": true,
    "cancel_url": "https://www.netflix.com/cancel"
  },
  {
    "name": "Adobe Creative Cloud",
    "cost": 54.99,
    "billing_cycle": "monthly",
    "category": "software",
    "last_used": "2023-06-01",
    "start_date": "2021-01-15",
    "auto_renew": true,
    "cancel_url": "https://account.adobe.com"
  }
]

Fields

Field	Required	Description
`name`	✅	Subscription name
`cost`	✅	Cost per billing cycle
`billing_cycle`	✅	"monthly", "yearly", "weekly", "quarterly"
`category`	❌	Entertainment, software, news, fitness, etc.
`last_used`	❌	ISO date of last use (for waste detection)
`start_date`	❌	When the subscription started
`auto_renew`	❌	Whether it auto-renews (default true)
`cancel_url`	❌	URL to manage/cancel the subscription
`notes`	❌	Free text notes

Usage

# Analyze subscriptions
python3 scripts/subscription_tracker.py analyze subs.json

# JSON output
python3 scripts/subscription_tracker.py analyze subs.json --json

# Generate cancellation emails for high-waste subscriptions
python3 scripts/subscription_tracker.py cancel subs.json --name "Netflix"

# Generate cancellation emails for all high-waste subscriptions
python3 scripts/subscription_tracker.py cancel subs.json --threshold 70

# Show only subscriptions above a waste threshold
python3 scripts/subscription_tracker.py analyze subs.json --threshold 50

# Run demo with sample data
python3 scripts/subscription_tracker.py demo

Waste Detection

The waste probability score (0–100) is calculated from:

Factor	Weight	Logic
Days since last use	40%	>90 days unused = high waste signal
Cost vs. usage frequency	25%	Expensive + rarely used = waste
Subscription age	15%	Very old subs you forgot about
Auto-renew status	10%	Auto-renewing = easy to forget
Category tendencies	10%	Some categories are more forgettable

Score interpretation:

80–100: Almost certainly wasting money. Cancel now.
60–79: Likely unused. Strong cancellation candidate.
40–59: Possibly underutilised. Review.
0–39: Probably in use. Keep.

Cancellation Emails

The script generates ready-to-send email templates with:

Subject line
Formal cancellation request
Account identification placeholders
Request for confirmation
Legal phrasing (effective date, pro-rated refunds)

Files

scripts/subscription_tracker.py — main analysis and email generation script
references/waste_detection.md — detailed scoring methodology
references/cancellation_template.md — email template reference

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