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DevOps AI Skills

Discover DevOps skills, compare source repositories and read the instructions for each workflow.

Categories: DevOps

Showing 5,497–5,520 of 83,066

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GitHub

workload-balancing

benchflow-ai

Optimize workload distribution across workers, processes, or nodes for efficient parallel execution. Use when asked to balance work distribution, improve parallel efficiency, reduce stragglers, implement load b...

GitHub

map-optimization-strategy

benchflow-ai

Strategy for solving constraint optimization problems on spatial maps. Use when you need to place items on a grid/map to maximize some objective while satisfying constraints.

GitHub

run-tests

DataDog

Validate code changes by intelligently selecting and running the appropriate test suites. Use this when editing code to verify changes work correctly, run tests, validate functionality, or check for regressions...

GitHub

lint

DataDog

Run targeted linting, formatting, and code quality checks on modified files. Use this to validate code style, type safety, security, and other quality metrics before committing. Supports running all checks or t...

GitHub

find-cpython-usage

DataDog

Find all CPython internal headers and structs used in the codebase, particularly for profiling functionality. Use this when adding support for a new Python version to identify what CPython internals we depend o...

GitHub

releasenote

DataDog

Create or update release notes for changes in the current branch using Reno, following dd-trace-py's conventions and the guidelines in docs/releasenotes.rst.

GitHub

compare-cpython-versions

DataDog

Compare CPython source code between two Python versions to identify changes in headers and structs. Use this when adding support for a new Python version to understand what changed between versions.

GitHub

kcli-plan-authoring

karmab

Guides creation of kcli plan files for deploying VMs, networks, and infrastructure. Use when writing YAML plans with Jinja2 templating or debugging plan execution issues.

The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.

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