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内容与媒体 AI 技能

发现 内容与媒体 相关 Skills,比较来源仓库和用途,查看适合你工作流的技能说明。

分类目录: 内容与媒体

显示第 5,713–5,736 个,共 86,635 个

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GitHub

forge-lang-python

benchflow-ai

Python development standards including pytest, ruff, black, and mypy. Use when working with Python files, tests, or dependencies.

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.

GitHub

kcli-testing

karmab

Guides testing and code quality for kcli. Use when writing tests, running linting, or validating changes before committing.

GitHub

kcli-vm-operations

karmab

Guides VM lifecycle operations with kcli. Use when creating, managing, or troubleshooting virtual machines across providers.

默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库,同一仓库的多个技能可能共享相同数值;它反映仓库关注度,不代表单个技能的安装量或质量评分。

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