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file-ipc-patterns Skill

AI Agent SkillPythonOpen source

Use when processes must communicate through the filesystem with no message broker. Covers JSONL event logs, atomic state snapshots, async request/response via file pairs, and SSE streaming from file tailing. Published by microsoft in amplifier-bundle-skills.

Decision snapshot

Is this a fit?

Best for

Data analysis, Design and media, Includes SKILL.md, Reusable instructions

Works with

Compatibility not yet detected.

Access

Permission behavior not yet detected.

Setup

Copy skill directory

Project health

2 months ago · MIT license

Considerations

No specific cautions were detected. Review the source and requested permissions before installing.

What is file-ipc-patterns Skill?

Use when processes must communicate through the filesystem with no message broker. Covers JSONL event logs, atomic state snapshots, async request/response via file pairs, and SSE streaming from file tailing. 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. 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/file-ipc-patterns/SKILL.md

These fields retain source and confidence evidence from the indexed SKILL.md.

Compatibility and setup

Copy skill directory
  • Install or run with Copy skill directory

When to use file-ipc-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/file-ipc-patterns/SKILL.md

What it does

Use when processes must communicate through the filesystem with no message broker. Covers JSONL event logs, atomic state snapshots, async request/response via file pairs, and SSE streaming from file tailing.

Skill instructions

File-Based IPC & Events The Pattern Problem: You have multiple processes (a web server and a container worker, or a host process and a spawned subprocess) that need to exchange messages and stream events. They don't share memory, and you don't want the complexity of a message broker. Approach: Use the filesystem as the message bus. JSON files as request/response pairs, JSONL append-only logs as event streams, and atomic state.json snapshots for current status. Bridge async code with asyncio.Future objects that resolve when response files appear. Pattern proven in production across multiple Python CLI tools and web services. Key Design Decisions 1. JSONL append-only event log + atomic state.json snapshot The EventEmitter writes two complementary files: - events.jsonl — append-only, one JSON object per line, flushed immediately so tail -f works - state.json — atomic overwrite of current status, always a complete snapshot python def emit(self, eventtype: str, , phase=None, data=None) - No

Verified compatibility and discovery

Frequently asked questions

What is file-ipc-patterns?

file-ipc-patterns is a open-source AI agent skill with Copy skill directory. Use when processes must communicate through the filesystem with no message broker.

Who is file-ipc-patterns best for?

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

How do I install file-ipc-patterns?

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

Is file-ipc-patterns actively maintained?

file-ipc-patterns may need a closer maintenance check before production use.

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10
Forks
9
Last commit
2 months ago
Last verified
Sep 1, 2026
Metadata fetched
Sep 1, 2026
Repository age
7 months
License
MIT

Project health auto-fetched from the source repository.

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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.

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