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file-ipc-patterns Skill

AI Agent SkillPythonOpen source

Use when processes need to communicate via the filesystem without a message broker — JSONL event logs, atomic state snapshots, async request/response via file pairs, or SSE streaming from file tailing. Published by microsoft in amplifier-bundle-skills.

What is file-ipc-patterns Skill?

Use when processes need to communicate via the filesystem without a message broker — JSONL event logs, atomic state snapshots, async request/response via file pairs, or 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.

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 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 need to communicate via the filesystem without a message broker — JSONL event logs, atomic state snapshots, async request/response via file pairs, or 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

Explore related resources

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 need to communicate via the filesystem without a message broker — JSONL event logs, atomic state snapshots, async request/response via file pairs, or SSE streaming from file tailing.

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

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