plant-management

Name: plant-management
Availability: InStock
Author: D-o-c-labs

Centralize plant registry management with JSON schema validation and deterministic care evaluation.

Updated Mar 30, 2026

Search Tags:#automation #reminders #cli #registry #data-validation #plant

Ready to run

npx skills add https://github.com/D-o-c-labs/Plant-management-skills --skill plant-management

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: plant-management
Source: https://github.com/D-o-c-labs/Plant-management-skills/tree/main/skill
Command: npx skills add https://github.com/D-o-c-labs/Plant-management-skills --skill plant-management

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires requests, jsonschema, and includes scripts (resource) components.

What problem does it solve?

Managing household plant data, care schedules, and reminders can be error-prone without a single source of truth. This skill provides a centralized, schema-validated registry with a deterministic evaluation engine to surface timely care actions.

Core Features & Use Cases

Central plant registry with JSON-backed data model and schema validation
Deterministic care evaluation to surface due actions and reminders
CLI-based workflows for plants, locations, microzones, irrigation systems, events, and lookups

Quick Start

Initialize a fresh data directory with the CLI and then add your first plant, then run python3 scripts/plant_mgmt_cli.py eval run to view due actions.

Frequently Asked Questions about plant-management

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I automate plant care reminders using a CLI?▼

You can automate plant care reminders by running the CLI evaluation engine against a centralized, schema-validated registry to surface deterministic care actions and maintenance schedules.

What is deterministic plant registry management for household plants?▼

Deterministic plant registry management provides a single source of truth for plant data and care profiles by enforcing data integrity with JSON schemas, ensuring reliable evaluation of care events.

How do I validate plant care data and enforce schemas for multiple locations?▼

You validate plant care data by applying JSON schemas to the registry entries, enforcing data integrity across plants, locations, microzones, and irrigation systems within the CLI workflows.

Do I need Python dependencies to run plant registry and reminder scripts?▼

Yes, you need the requests and jsonschema Python dependencies installed to execute the CLI scripts that handle data validation and environment-driven configuration for the registry.

Can I manage irrigation systems and microzones via command line workflows?▼

Yes, the CLI provides dedicated workflows to manage irrigation systems, microzones, and locations, centralizing plant data and care profiles into a validated registry for deterministic evaluation.

What's the best way to track due plant care actions without manual errors?▼

The best way to track due actions is initializing a data directory via CLI, adding plants to the registry, and running the evaluation engine to deterministically surface timely care reminders.