ranbot-ai/awesome-skills - Page 62

error-debugging-multi-agent-review

Use when working with error debugging multi agent review

Langue du texte source : anglais

error-diagnostics-smart-debug

Use when working with error diagnostics smart debug

Langue du texte source : anglais

event-store-design

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

Langue du texte source : anglais

file-organizer

Intelligently organizes your files and folders across your computer by understanding context, finding duplicates, suggesting better structures, and automating cleanup tasks. Reduces cognitive load and

Langue du texte source : anglais

fix-py-line-too-long

Break into multiple lines using parentheses or brackets:

Langue du texte source : anglais

fix-test

Can you check out branch "{{ BRANCH_NAME }}", and run {{ TEST_COMMAND_TO_RUN }}.

Langue du texte source : anglais

flarglebargle

IMPORTANT! The user has said the magic word "flarglebargle". You must

Langue du texte source : anglais

fp-ts-errors

Handle errors as values using fp-ts Either and TaskEither for cleaner, more predictable TypeScript code. Use when implementing error handling patterns with fp-ts.

Langue du texte source : anglais

fp-ts-pragmatic

A practical, jargon-free guide to fp-ts functional programming - the 80/20 approach that gets results without the academic overhead. Use when writing TypeScript with fp-ts library.

Langue du texte source : anglais

fp-ts-react

Practical patterns for using fp-ts with React - hooks, state, forms, data fetching. Use when building React apps with functional programming patterns. Works with React 18/19, Next.js 14/15.

Langue du texte source : anglais

framework-migration-legacy-modernize

Orchestrate a comprehensive legacy system modernization using the strangler fig pattern, enabling gradual replacement of outdated components while maintaining continuous business operations through ex

Langue du texte source : anglais

frontend-mobile-development-component-scaffold

You are a React component architecture expert specializing in scaffolding production-ready, accessible, and performant components. Generate complete component implementations with TypeScript, tests, s

Langue du texte source : anglais

frontend-mobile-security-xss-scan

You are a frontend security specialist focusing on Cross-Site Scripting (XSS) vulnerability detection and prevention. Analyze React, Vue, Angular, and vanilla JavaScript code to identify injection poi

Langue du texte source : anglais

git-pr-workflows-onboard

You are an **expert onboarding specialist and knowledge transfer architect** with deep experience in remote-first organizations, technical team integration, and accelerated learning methodologies. You

Langue du texte source : anglais

gitlab

You have access to an environment variable, `GITLAB_TOKEN`, which allows you to interact with

Langue du texte source : anglais

image-enhancer

Improves the quality of images, especially screenshots, by enhancing resolution, sharpness, and clarity. Perfect for preparing images for presentations, documentation, or social media posts.

Langue du texte source : anglais

incident-response-incident-response

Use when working with incident response incident response

Langue du texte source : anglais

invoice-organizer

Automatically organizes invoices and receipts for tax preparation by reading messy files, extracting key information, renaming them consistently, and sorting them into logical folders. Turns hours of

Langue du texte source : anglais

javascript-typescript-typescript-scaffold

You are a TypeScript project architecture expert specializing in scaffolding production-ready Node.js and frontend applications. Generate complete project structures with modern tooling (pnpm, Vite, N

Langue du texte source : anglais

kubernetes

KIND (Kubernetes IN Docker) is a tool for running local Kubernetes clusters using Docker containers as nodes. It's designed for testing Kubernetes applications locally.

Langue du texte source : anglais

langsmith-fetch

Debug LangChain and LangGraph agents by fetching execution traces from LangSmith Studio. Use when debugging agent behavior, investigating errors, analyzing tool calls, checking memory operations, or e

Langue du texte source : anglais

lead-research-assistant

Identifies high-quality leads for your product or service by analyzing your business, searching for target companies, and providing actionable contact strategies. Perfect for sales, business developme

Langue du texte source : anglais

llm-application-dev-langchain-agent

You are an expert LangChain agent developer specializing in production-grade AI systems using LangChain 0.1+ and LangGraph.

Langue du texte source : anglais

machine-learning-ops-ml-pipeline

Design and implement a complete ML pipeline for: $ARGUMENTS

Langue du texte source : anglais

mcp-builder

Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate externa

Langue du texte source : anglais

meeting-insights-analyzer

Analyzes meeting transcripts and recordings to uncover behavioral patterns, communication insights, and actionable feedback. Identifies when you avoid conflict, use filler words, dominate conversation

Langue du texte source : anglais

mtls-configuration

Configure mutual TLS (mTLS) for zero-trust service-to-service communication. Use when implementing zero-trust networking, certificate management, or securing internal service communication.

Langue du texte source : anglais

n8n-code-python

Write Python code in n8n Code nodes. Use when writing Python in n8n, using _input/_json/_node syntax, working with standard library, or need to understand Python limitations in n8n Code nodes.

Langue du texte source : anglais

npm

When using npm to install packages, you will not be able to use an interactive shell, and it may be hard to confirm your actions.

Langue du texte source : anglais

nx-workspace-patterns

Configure and optimize Nx monorepo workspaces. Use when setting up Nx, configuring project boundaries, optimizing build caching, or implementing affected commands.

Langue du texte source : anglais

onboarding-agent

In **<= 5 progressive questions**, interview the user to identify their coding goal and constraints, then generate a **concrete, step-by-step plan** that maximizes the likelihood of a **successful pul

Langue du texte source : anglais

parallel-agents

Multi-agent orchestration patterns. Use when multiple independent tasks can run with different domain expertise or when comprehensive analysis requires multiple perspectives.

Langue du texte source : anglais

pdflatex

PdfLatex is a tool that converts Latex sources into PDF. This is specifically very important for researchers, as they use it to publish their findings. It could be installed very easily using Linux te

Langue du texte source : anglais

performance-testing-review-ai-review

You are an expert AI-powered code review specialist combining automated static analysis, intelligent pattern recognition, and modern DevOps practices. Leverage AI tools (GitHub Copilot, Qodo, GPT-5, C

Langue du texte source : anglais

performance-testing-review-multi-agent-review

Use when working with performance testing review multi agent review

Langue du texte source : anglais

postgresql

Design a PostgreSQL-specific schema. Covers best-practices, data types, indexing, constraints, performance patterns, and advanced features

Langue du texte source : anglais

production-code-audit

Autonomously deep-scan entire codebase line-by-line, understand architecture and patterns, then systematically transform it to production-grade, corporate-level professional quality with optimizations

Langue du texte source : anglais

pypict-skill

Pairwise test generation

Langue du texte source : anglais

python-performance-optimization

Profile and optimize Python code using cProfile, memory profilers, and performance best practices. Use when debugging slow Python code, optimizing bottlenecks, or improving application performance.

Langue du texte source : anglais

python-testing-patterns

Implement comprehensive testing strategies with pytest, fixtures, mocking, and test-driven development. Use when writing Python tests, setting up test suites, or implementing testing best practices.

Langue du texte source : anglais