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lingxling

5.681 skills 801.021 estrelas no total GitHub ↗

Skills publicadas

Mostrando 12 de 5.681

skill-audit

141

Pre-install security scanner for AI agent skills. 7.5% of 14,706 skills are malicious. Audit before you trust.

Design e Frontend #ai por lingxling

Eventbrite Automation

141

Automatize o gerenciamento de eventos do Eventbrite, o rastreamento de participantes, a descoberta de organizações e a navegação por categorias através de comandos de linguagem natural.

Design e Frontend por lingxling

fp-pragmatic

141

A practical, jargon-free guide to functional programming - the 80/20 approach that gets results without the academic overhead

Design e Frontend por lingxling

monte-carlo-monitor-creation

141

Guides creation of Monte Carlo monitors via MCP tools, producing monitors-as-code YAML for CI/CD deployment.

DevOps e Infra #deploy #mcp por lingxling

event-store-design

141

Design and implement event stores for event-sourced systems. Use when building event sourcing infrastructure, choosing event store technologies, or implementing event persistence patterns.

Design e Frontend por lingxling

php-pro

141

'Write idiomatic PHP code with generators, iterators, SPL data

Design e Frontend por lingxling

workflow-automation

141

Workflow automation is the infrastructure that makes AI agents

Design e Frontend #ai por lingxling

revolt-automation

141

Automatize tarefas do Revolt via Rube MCP (Composio). Sempre procure ferramentas primeiro para os esquemas atuais.

Design e Frontend #mcp por lingxling

fal-image-edit

141

AI-powered image editing with style transfer and object removal

Design e Frontend #ai por lingxling

bazel-build-optimization

141

Optimize Bazel builds for large-scale monorepos. Use when configuring Bazel, implementing remote execution, or optimizing build performance for enterprise codebases.

Design e Frontend por lingxling

api-documentation-generator

141

Generate comprehensive, developer-friendly API documentation from code, including endpoints, parameters, examples, and best practices

Design e Frontend #api por lingxling

machine-learning-ops-ml-pipeline

141

Design and implement a complete ML pipeline for: $ARGUMENTS

Design e Frontend por lingxling