ranbot-ai/awesome-skills - Page 28

protocol-reverse-engineering

Comprehensive techniques for capturing, analyzing, and documenting network protocols for security research, interoperability, and debugging.

Langue du texte source : anglais

pydantic-models-py

Create Pydantic models following the multi-model pattern for clean API contracts.

Langue du texte source : anglais

python-packaging

Comprehensive guide to creating, structuring, and distributing Python packages using modern packaging tools, pyproject.toml, and publishing to PyPI.

Langue du texte source : anglais

python-patterns

Python development principles and decision-making. Framework selection, async patterns, type hints, project structure. Teaches thinking, not copying.

Langue du texte source : anglais

quality-nonconformance

Codified expertise for quality control, non-conformance investigation, root cause analysis, corrective action, and supplier quality management in regulated manufacturing.

Langue du texte source : anglais

rag-engineer

I bridge the gap between raw documents and LLM understanding. I know that retrieval quality determines generation quality - garbage in, garbage out. I obsess over chunking boundaries, embedding dimens

Langue du texte source : anglais

react-best-practices

Comprehensive performance optimization guide for React and Next.js applications, maintained by Vercel. Use when writing new React components or Next.js pages, implementing data fetching (client or ser

Langue du texte source : anglais

react-flow-architect

Build production-ready ReactFlow applications with hierarchical navigation, performance optimization, and advanced state management.

Langue du texte source : anglais

react-flow-node-ts

Create React Flow node components following established patterns with proper TypeScript types and store integration.

Langue du texte source : anglais

react-modernization

Master React version upgrades, class to hooks migration, concurrent features adoption, and codemods for automated transformation.

Langue du texte source : anglais

react-native-architecture

Production-ready patterns for React Native development with Expo, including navigation, state management, native modules, and offline-first architecture.

Langue du texte source : anglais

readme

You are an expert technical writer creating comprehensive project documentation. Your goal is to write a README.md that is absurdly thorough—the kind of documentation you wish every project had.

Langue du texte source : anglais

receiving-code-review

Code review requires technical evaluation, not emotional performance.

Langue du texte source : anglais

red-team-tools

Implement proven methodologies and tool workflows from top security researchers for effective reconnaissance, vulnerability discovery, and bug bounty hunting. Automate common tasks while maintaining t

Langue du texte source : anglais

referral-program

You are an expert in viral growth and referral marketing with access to referral program data and third-party tools. Your goal is to help design and optimize programs that turn customers into growth e

Langue du texte source : anglais

remotion-best-practices

Best practices for Remotion - Video creation in React

Langue du texte source : anglais

returns-reverse-logistics

Codified expertise for returns authorisation, receipt and inspection, disposition decisions, refund processing, fraud detection, and warranty claims management.

Langue du texte source : anglais

saga-orchestration

Patterns for managing distributed transactions and long-running business processes.

Langue du texte source : anglais

salesforce-development

Use @wire decorator for reactive data binding with Lightning Data Service or Apex methods. @wire fits LWC's reactive architecture and enables Salesforce performance optimizations.

Langue du texte source : anglais

sam-altman

Agente que simula Sam Altman — CEO da OpenAI, ex-presidente da Y Combinator, arquiteto da era AGI.

Langue du texte source : portugais

sast-configuration

Static Application Security Testing (SAST) tool setup, configuration, and custom rule creation for comprehensive security scanning across multiple programming languages.

Langue du texte source : anglais

scanning-tools

Master essential security scanning tools for network discovery, vulnerability assessment, web application testing, wireless security, and compliance validation. This skill covers tool selection, confi

Langue du texte source : anglais

scanpy

Scanpy is a scalable Python toolkit for analyzing single-cell RNA-seq data, built on AnnData. Apply this skill for complete single-cell workflows including quality control, normalization, dimensionali

Langue du texte source : anglais

scientific-writing

This is the core skill for the deep research and writing tool—combining AI-driven deep research with well-formatted written outputs. Every document produced is backed by comprehensive literature sea

Langue du texte source : anglais

screen-reader-testing

Practical guide to testing web applications with screen readers for comprehensive accessibility validation.

Langue du texte source : anglais

astro

Build content-focused websites with Astro — zero JS by default, islands architecture, multi-framework components, and Markdown/MDX support.

Langue du texte source : anglais

goldrush-api

Query blockchain data across 100+ chains: wallet balances, token prices, transactions, DEX pairs, and real-time OHLCV streams via the GoldRush API by Covalent.

Langue du texte source : anglais

hono

Build ultra-fast web APIs and full-stack apps with Hono — runs on Cloudflare Workers, Deno, Bun, Node.js, and any WinterCG-compatible runtime.

Langue du texte source : anglais

pydantic-ai

Build production-ready AI agents with PydanticAI — type-safe tool use, structured outputs, dependency injection, and multi-model support.

Langue du texte source : anglais

data-scientist

Expert data scientist for advanced analytics, machine learning, and statistical modeling. Handles complex data analysis, predictive modeling, and business intelligence.

Langue du texte source : anglais

progressive-web-app

Build Progressive Web Apps (PWAs) with offline support, installability, and caching strategies. Trigger whenever the user mentions PWA, service workers, web app manifests, Workbox, 'add to home screen

Langue du texte source : anglais

seaborn

Statistical visualization with pandas integration. Use for quick exploration of distributions, relationships, and categorical comparisons with attractive defaults. Best for box plots, violin plots, pa

Langue du texte source : anglais

ai-native-cli

Design spec with 98 rules for building CLI tools that AI agents can safely use. Covers structured JSON output, error handling, input contracts, safety guardrails, exit codes, and agent self-descriptio

Langue du texte source : anglais

k6-load-testing

Comprehensive k6 load testing skill for API, browser, and scalability testing. Write realistic load scenarios, analyze results, and integrate with CI/CD.

Langue du texte source : anglais

recallmax

FREE — God-tier long-context memory for AI agents. Injects 500K-1M clean tokens, auto-summarizes with tone/intent preservation, compresses 14-turn history into 800 tokens.

Langue du texte source : anglais

electron-development

Master Electron desktop app development with secure IPC, contextIsolation, preload scripts, multi-process architecture, electron-builder packaging, code signing, and auto-update.

Langue du texte source : anglais

llm-structured-output

Get reliable JSON, enums, and typed objects from LLMs using response_format, tool_use, and schema-constrained decoding across OpenAI, Anthropic, and Google APIs.

Langue du texte source : anglais

privacy-by-design

Use when building apps that collect user data. Ensures privacy protections are built in from the start—data minimization, consent, encryption.

Langue du texte source : anglais

ai-md

Convert human-written CLAUDE.md into AI-native structured-label format. Battle-tested across 4 models. Same rules, fewer tokens, higher compliance.

Langue du texte source : anglais

local-llm-expert

Master local LLM inference, model selection, VRAM optimization, and local deployment using Ollama, llama.cpp, vLLM, and LM Studio. Expert in quantization formats (GGUF, EXL2) and local AI privacy.

Langue du texte source : anglais