{{skill-name}}

Manage personal data items via CLI with SQLite persistence.

1|Updated Dec 8, 2025
One-click install
npx skills add https://github.com/m3lander/system-skills-pattern-template --skill skill-name-m3lander
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: {{skill-name}}
Source: https://github.com/m3lander/system-skills-pattern-template/tree/main/src
Command: npx skills add https://github.com/m3lander/system-skills-pattern-template --skill skill-name-m3lander

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

The System Skill Pattern demonstrates how Claude can animate a CLI-driven personal data system with persistent memory, enabling an ongoing OODA loop that reduces manual setup and repetitive work over time.

Core Features & Use Cases

  • CLI + SKILL.md + SQLite: A self-contained stack that lets Claude observe, orient, decide, and act with memory across sessions.
  • Persistent memory: Data persists to build context and improve decision quality over time.
  • Autonomous workflows: Claude follows a defined pattern to automate routine data tasks, surfacing insights without manual prompts.

Quick Start

Install and run the template to launch a sample system. Then use commands like:

  • ./{{skill-name}} status
  • ./{{skill-name}} add --content "Example item"

Frequently Asked Questions about {{skill-name}}

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

FAQPage Schema
How do I automate personal data management with CLI and persistent memory?

This Skill automates personal data management by providing a CLI interface backed by SQLite for persistent storage. You add, view, update, delete, and search items locally, enabling Claude to retain context across sessions and surface usage patterns automatically without manual intervention.

What is an OODA loop and how does it improve data systems?

An OODA loop—observe, orient, decide, act—is a decision cycle that Claude follows to analyze your data systematically. By iterating through this pattern with persistent memory, the system derives actionable insights and improves decision quality over time without repetitive manual setup.

Can I use SQLite to build a self-contained CLI data system?

Yes. SQLite enables a lightweight, self-contained stack that persists data locally without external dependencies. Combined with a CLI interface and Claude's reasoning, you can build autonomous workflows that track and analyze personal data across day, week, and month periods.

How do I set up a CLI tool that remembers data between sessions?

This Skill handles setup automatically. It stores data in a SQLite database at ~/.claude/skills/{{skill-name}}/{{skill-name}}.db. Use commands like `add`, `status`, `list`, `stats`, `search`, and `delete` to manage items; Claude retains all history for context-aware analysis in future sessions.

What's the difference between manual data tracking and an automated system?

Manual tracking requires repeated setup and analysis steps. An automated system with persistent memory and an OODA loop reduces friction by letting Claude observe patterns, orient to your context, and surface insights autonomously—saving time and improving accuracy over time.

Do I need to write code to use a CLI-based memory system?

No. This Skill is pre-built and CLI-driven; you run simple commands like `add` and `search` without writing code. Claude handles the reasoning and memory management internally, letting you focus on data entry and decision-making rather than implementation.