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self-managing-tool-patterns Skill

AI Agent SkillPythonOpen source

Use when adding a doctor diagnostic command, self-update/upgrade mechanism, cross-platform service installation (systemd and launchd), or post-upgrade verification to a CLI tool. Published by microsoft in amplifier-bundle-skills.

What is self-managing-tool-patterns Skill?

Use when adding a doctor diagnostic command, self-update/upgrade mechanism, cross-platform service installation (systemd and launchd), or post-upgrade verification to a CLI tool. Published by microsoft in amplifier-bundle-skills. This profile combines repository metadata with install, compatibility, and usage signals so developers can quickly decide whether it fits their agent workflow before opening the source repository.

Trust signal
95/100
Maintenance signal
90/100
Adoption signal
26/100

Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement.

Key capabilities

  • Includes SKILL.md support
  • Reusable instructions support
  • Deployment
  • Design and media
  • Deployment use cases
  • Design and media use cases

Technical details

Copy skill directory
  • Install or run with Copy skill directory

When to use self-managing-tool-patterns Skill

  • Use it for deployment.
  • Use it for design and media.

Built with

PythonCopy skill directory

Editorial notes

Source

  • Creator: microsoft
  • Repository: microsoft/amplifier-bundle-skills
  • Skill file: skills/self-managing-tool-patterns/SKILL.md

What it does

Use when adding a doctor diagnostic command, self-update/upgrade mechanism, cross-platform service installation (systemd and launchd), or post-upgrade verification to a CLI tool.

Skill instructions

Self-Managing Tool Lifecycle The Pattern Problem: Your tool runs as a long-lived service. Users need to check if it's healthy, upgrade it without SSH'ing in, and have it start on boot. You need this to work on both Linux (systemd) and macOS (launchd). Approach: A doctor command for diagnostics, PEP 610 introspection for install source detection, an upgrade flow that stops-reinstalls-regenerates-restarts-verifies, and cross-platform service management with PATH forwarding. Pattern proven in production across multiple Python CLI tools and web services. Key Design Decisions 1. Doctor — structured checklist with colored output Implement a doctor command that checks prerequisites, versions, service status, and update availability: python def doctor() - None: okmark = "\033[32m\u2713\033[0m" green check failmark = "\033[31m\u2717\033[0m" red x warnmark = "\033[33m!\033[0m" yellow warning The checklist should cover: - Python version (3.11+ required) - External dependencies (docker, git, etc.)

Explore related resources

Frequently asked questions

What is self-managing-tool-patterns?

self-managing-tool-patterns is a open-source AI agent skill with Copy skill directory. Use when adding a doctor diagnostic command, self-update/upgrade mechanism, cross-platform service installation (systemd and launchd), or post-upgrade verification to a CLI tool.

Who is self-managing-tool-patterns best for?

self-managing-tool-patterns is best for reusing agent instructions, scripts, and references, deployment workflows, design and media workflows.

How do I install self-managing-tool-patterns?

Install or run self-managing-tool-patterns using Copy skill directory. Check self-managing-tool-patterns for the latest setup command.

Is self-managing-tool-patterns actively maintained?

self-managing-tool-patterns may need a closer maintenance check before production use.

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Stars
10
Forks
9
Last commit
9 days ago
Repository age
5 months
License
MIT

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