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sync-async-pattern Skill

AI Agent SkillPythonOpen source

Guide for implementing sync/async mirrored code in this project. Use when adding new classes, methods, or feature filters that need both sync and async versions, or when modifying existing sync code that has an async counterpart in featuremanagement/aio/. Published by microsoft in FeatureManagement-Python.

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Best for

Data analysis, Includes SKILL.md, Reusable instructions

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Setup

Copy skill directory

Project health

2 months ago · MIT license

Considerations

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What is sync-async-pattern Skill?

Guide for implementing sync/async mirrored code in this project. Use when adding new classes, methods, or feature filters that need both sync and async versions, or when modifying existing sync code that has an async counterpart in featuremanagement/aio/. Published by microsoft in FeatureManagement-Python. 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
34/100

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
  • Data analysis use cases

Declared skill metadata

  • Source file: .github/skills/sync-async-pattern/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 sync-async-pattern Skill

  • Use it for data analysis.

Built with

PythonCopy skill directory

Editorial notes

Source

  • Creator: microsoft
  • Repository: microsoft/FeatureManagement-Python
  • Skill file: .github/skills/sync-async-pattern/SKILL.md

What it does

Guide for implementing sync/async mirrored code in this project. Use when adding new classes, methods, or feature filters that need both sync and async versions, or when modifying existing sync code that has an async counterpart in featuremanagement/aio/.

Skill instructions

Sync/Async Mirroring Pattern This project maintains parallel sync and async implementations. Every change to sync code in featuremanagement/ must be mirrored in featuremanagement/aio/, and vice versa. Directory mapping | Sync | Async | |------|-------| | featuremanagement/featuremanager.py | featuremanagement/aio/featuremanager.py | | featuremanagement/featurefilters.py | featuremanagement/aio/featurefilters.py | | featuremanagement/defaultfilters.py | featuremanagement/aio/defaultfilters.py | | featuremanagement/init.py | featuremanagement/aio/init.py | Shared code that does NOT have an async counterpart: - featuremanagement/featuremanagerbase.py — base class used by both sync and async FeatureManager - featuremanagement/models/ — data models imported by both - featuremanagement/timewindowfilter/ — time window logic (no I/O, used as-is) - featuremanagement/azuremonitor/ — telemetry (no async version) Copyright header Every source file MUST start with: python --------------------------

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Frequently asked questions

What is sync-async-pattern?

sync-async-pattern is a open-source AI agent skill with Copy skill directory. Guide for implementing sync/async mirrored code in this project. Use when adding new classes, methods, or feature filters that need both sync and async versions, or when modifying existing sync code.

Who is sync-async-pattern best for?

sync-async-pattern is best for reusing agent instructions, scripts, and references, data analysis workflows.

How do I install sync-async-pattern?

Install or run sync-async-pattern using Copy skill directory. Check sync-async-pattern for the latest setup command.

Is sync-async-pattern actively maintained?

sync-async-pattern may need a closer maintenance check before production use.

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Last commit
2 months ago
Last verified
Sep 1, 2026
Metadata fetched
Sep 1, 2026
Repository age
3 years
License
MIT

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