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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.

GitHub

kcli-provider-development

karmab

Guides implementation of new virtualization providers for kcli. Use when adding support for a new cloud platform, hypervisor, or infrastructure provider.

GitHub

kcli-cluster-deployment

karmab

Guides deployment and management of Kubernetes clusters with kcli. Use when deploying OpenShift, k3s, kubeadm, or other Kubernetes distributions.

GitHub

kcli-configuration

karmab

Guides kcli configuration and provider setup. Use when setting up ~/.kcli/config.yml, configuring providers (KVM, AWS, GCP, Azure, etc.), or managing profiles.

GitHub

kcli

karmab

Comprehensive guide for kcli usage. Use when creating VMs, deploying plans, managing clusters, or performing any kcli operations. Covers all common user workflows.

GitHub

managed-package-architecture

benchflow-ai

This skill should be used when the user asks to "design package structure", "create managed package", "configure 2GP", "set up namespace", "version management", or mentions managed package topics like "LMA", "s...

GitHub

legacy-code-reviewer

benchflow-ai

Expert system for identifying deprecated patterns, suggesting refactoring to modern standards (Python 3.12+, ES2024+), checking test coverage, and leveraging AI-powered tools. Proactively applied when users req...

GitHub

browser-testing

benchflow-ai

VERIFY your changes work. Measure CLS, detect theme flicker, test visual stability, check performance. Use BEFORE and AFTER making changes to confirm fixes. Includes ready-to-run scripts: measure-cls.ts, detect...

GitHub

python-dev

benchflow-ai

Python development guidance with code quality standards, error handling, testing practices, and environment management. Use when writing, reviewing, or modifying Python code (.py files) or Jupyter notebooks (.i...

GitHub

vuln-patterns-core

benchflow-ai

Universal vulnerability detection patterns applicable across all programming languages. Includes hardcoded secrets, SQL/command injection, path traversal, and configuration file patterns.

GitHub

memory-debugging

benchflow-ai

This skill should be used when debugging memory-related issues in the Breenix kernel including page faults, double faults, frame allocation problems, page table issues, heap allocation failures, stack overflows...

GitHub

assisting-reverse-engineering

benchflow-ai

Provides reverse engineering analysis support including function identification, data structure analysis, and behavior understanding. Use when analyzing unknown binaries, understanding program structure, or inv...

GitHub

ripgrep

benchflow-ai

Efficient text search using ripgrep (rg) with one-shot patterns that minimize iterations by getting files, line numbers, and context in a single call

GitHub

log-analyze

benchflow-ai

Parse and analyze system and application logs. Use when the user says "find errors in logs", "analyze logs", "check journalctl", "what's in the logs", "debug from logs", or asks to investigate log files.

GitHub

binary-analysis

benchflow-ai

Analyze binary files (exe, dll, sys, bin, ocx, scr, cpl, drv) to assess if they are malicious, perform decompilation, extract strings/imports/exports, detect malware, and provide threat assessment. Use this ski...

GitHub

sql-optimization

benchflow-ai

SQL query optimization patterns including EXPLAIN plan analysis, index strategies, query rewriting, and N+1 query prevention. Use when optimizing slow database queries, analyzing query performance, designing in...

GitHub

web-interface-guidelines

benchflow-ai

Vercel's comprehensive UI guidelines for building accessible, performant web interfaces. Use this skill when reviewing or building UI components for compliance with best practices around accessibility, performa...

Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.

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