instance-storage-patterns Skill
Use when a system manages multiple concurrent instances or sessions that each need isolated storage. Covers per-instance directories, file locking, and a prepare-once/create-many session factory pattern. Published by microsoft in amplifier-bundle-skills.
Decision snapshot
Is this a fit?
Data analysis, Design and media, Includes SKILL.md, Reusable instructions
Compatibility not yet detected.
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Copy skill directory
2 months ago · MIT license
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What is instance-storage-patterns Skill?
Use when a system manages multiple concurrent instances or sessions that each need isolated storage. Covers per-instance directories, file locking, and 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.
Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement. See how SkillIndex evaluates profiles.
Key capabilities
- Includes SKILL.md support
- Reusable instructions support
- Data analysis
- Design and media
- Data analysis use cases
- Design and media use cases
Declared skill metadata
- Source file: skills/instance-storage-patterns/SKILL.md
These fields retain source and confidence evidence from the indexed SKILL.md.
Compatibility and setup
- 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
Editorial notes
Source
- Creator: microsoft
- Repository: microsoft/amplifier-bundle-skills
- Skill file: skills/instance-storage-patterns/SKILL.md
What it does
Use when a system manages multiple concurrent instances or sessions that each need isolated storage. Covers per-instance directories, file locking, and 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
Verified compatibility and discovery
Frequently asked questions
What is instance-storage-patterns?
instance-storage-patterns is a open-source AI agent skill with Copy skill directory. Use when a system manages multiple concurrent instances or sessions that each need isolated storage.
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.
Project health auto-fetched from the source repository.
Maintain this resource?
Review this source-backed profile, send a correction with evidence, or link to it from your documentation. Claims verify your relationship to the project; profile facts still require source evidence and editorial review.
