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instance-storage-patterns Skill

AI Agent SkillPythonOpen source

Use when your system manages multiple concurrent instances or sessions that each need isolated storage directories, per-instance file locking, or a prepare-once/create-many session factory pattern. Published by microsoft in amplifier-bundle-skills.

What is instance-storage-patterns Skill?

Use when your system manages multiple concurrent instances or sessions that each need isolated storage directories, per-instance file locking, or a prepare-once/create-many session factory pattern. 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
  • Data analysis
  • Design and media
  • Data analysis use cases
  • Design and media use cases

Technical details

Copy skill directory
  • Install or run with Copy skill directory

When to use instance-storage-patterns Skill

  • Use it for data analysis.
  • Use it for design and media.

Built with

PythonCopy skill directory

Editorial notes

Source

  • Creator: microsoft
  • Repository: microsoft/amplifier-bundle-skills
  • Skill file: skills/instance-storage-patterns/SKILL.md

What it does

Use when your system manages multiple concurrent instances or sessions that each need isolated storage directories, per-instance file locking, or a prepare-once/create-many session factory pattern.

Skill instructions

Instance Storage & Sessions The Pattern Problem: You run multiple instances of something (task runners, user sessions, build jobs). Each needs isolated storage, lifecycle tracking, and its own subdirectory tree. You also have expensive initialization (loading bundles, connecting to APIs) that should happen once, not per instance. Approach: A filesystem-backed instance store with per-instance directories, per-instance file locking, and a session factory that prepares once and creates many. Pattern proven in production across multiple Python CLI tools and web services. Key Design Decisions 1. Instance-rooted directory layout All data for a single instance lives under one directory. Example layout (adapt to your needs): ~/.my-tool/ instances/{instanceid}/ instance.json — lifecycle metadata (status, timestamps) workspace/ — code, git repo, tests logs/ — pipeline node logs, checkpoint.json events/ — events.jsonl, state.json, input-requests/ sidecar-data/ — sidecar service data (databases, r

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Frequently asked questions

What is instance-storage-patterns?

instance-storage-patterns is a open-source AI agent skill with Copy skill directory. Use when your system manages multiple concurrent instances or sessions that each need isolated storage directories, per-instance file locking, or a prepare-once/create-many session factory.

Who is instance-storage-patterns best for?

instance-storage-patterns is best for reusing agent instructions, scripts, and references, data analysis workflows, design and media workflows.

How do I install instance-storage-patterns?

Install or run instance-storage-patterns using Copy skill directory. Check instance-storage-patterns for the latest setup command.

Is instance-storage-patterns actively maintained?

instance-storage-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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