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Skills IA Tests et sécurité

Découvrez les skills Tests et sécurité, comparez leurs dépôts et consultez leurs instructions.

Catégories: Tests et sécurité

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GitHub

zellij-control

cuipengfei

使用 Zellij 终端复用器控制交互式 CLI 程序。当需要运行需要键盘交互的 TUI 应用(htop、btop、lazygit、fzf)、REPL(python、bun repl)或分页器(less、bat)时使用此技能。不适用于非交互式命令(直接用 Bash)或文件编辑...

GitHub

programming-workflow

cuipengfei

编程工作流 - 统一的测试驱动开发(TDD)工作流程。包含准备、设计、测试实现、代码实现和审查五个阶段。

GitHub

planning-workflow

cuipengfei

规划工作流 - 从想法到实现计划的结构化流程。通过迭代细化单个 Markdown 文档将模糊想法转化为清晰实现计划。

GitHub

memory-bank

cuipengfei

记忆库 - 跨会话知识持久化管理。作为项目上下文的唯一真实来源。

GitHub

response-guidelines

cuipengfei

响应指南 - 简洁响应 + 按需提示词增强。核心铁律:简洁优先,保真原意,禁止扩展范围。

GitHub

foundational-principles

cuipengfei

基础原则 - AI 助手的核心思维原则和指令框架概述。包含系统思维、辩证思维、创新思维和批判思维四大核心原则。

GitHub

shortcut-system

cuipengfei

快捷命令系统 - 快捷命令定义和使用指南。定义以 ! 结尾的短命令触发特定响应。

GitHub

ba-collaboration

cuipengfei

BA 协作 - 与业务分析师协作的专业化工作流。帮助 BA 编写高质量用户故事和验收标准。

GitHub

testing-guidelines

cuipengfei

测试指南 - 测试设计和实现的原则与最佳实践。包含测试设计模板和断言最佳实践。

GitHub

quality-standards

cuipengfei

质量标准 - 代码质量、设计模式和反模式的统一指南。包含 SOLID 原则、代码异味识别和最佳实践。

GitHub

nixtla-explain-analyst

intent-solutions-io

Analyze and explain TimeGPT forecast results in plain English. Generates executive summaries with driver analysis. Use when stakeholders need forecast explanations, board presentations, or compliance documentat...

GitHub

nixtla-arbitrage-detector

intent-solutions-io

Detects arbitrage opportunities between Polymarket and Kalshi prediction markets. Use when a user wants to find price discrepancies for the same event on different platforms. Trigger with "find arbitrage", "det...

GitHub

nixtla-experiment-architect

intent-solutions-io

Generate production-ready forecasting experiments with StatsForecast and TimeGPT. Use when setting up model benchmarking or cross-validation. Trigger with 'scaffold experiment' or 'compare models'.

GitHub

nixtla-mcp-server-builder

intent-solutions-io

Generate production-ready MCP server implementations from PRD tool specifications with schema validation, error handling, and testing infrastructure. Use when building MCP servers for Nixtla plugins, implementi...

GitHub

org-verification-pipeline

intent-solutions-io

Produces verified datasets, verified evaluation results, and a deployable contract bundle for a workflow. Use when you need provable correctness at data and evaluation boundaries. Trigger with 'verify workflow'...

GitHub

nixtla-liquidity-forecaster

intent-solutions-io

Forecasts orderbook depth and spreads to optimize trade execution timing. Use when needing to estimate market liquidity for large orders. Trigger with "forecast liquidity", "predict orderbook", "estimate depth"...

GitHub

nixtla-contract-schema-mapper

intent-solutions-io

Transforms prediction market data to Nixtla format (unique_id, ds, y). Maps arbitrary column names to required schema. Validates date and numeric types. Use when preparing prediction market datasets for Nixtla...

GitHub

nixtla-usage-optimizer

intent-solutions-io

Audits Nixtla library usage and recommends cost-effective routing strategies. Scans TimeGPT, StatsForecast, and MLForecast patterns, identifies cost optimization opportunities, generates comprehensive usage rep...

GitHub

nixtla-baseline-review

intent-solutions-io

Analyze Nixtla baseline forecasting results (sMAPE/MASE on M4 or other benchmark datasets). Use when the user asks about baseline performance, model comparisons, or metric interpretation for Nixtla time-series...

GitHub

nixtla-skills-bootstrap

intent-solutions-io

Installs and updates Nixtla Skills in current project using nixtla-skills CLI. Manages skill installation, updates existing skills, and guides through setup process. Activates when user needs to install Nixtla...

GitHub

nixtla-timegpt2-migrator

intent-solutions-io

Analyze and transform code for TimeGPT-1 to TimeGPT-2 migration. Use when upgrading TimeGPT version. Trigger with 'migrate to TimeGPT-2' or 'upgrade TimeGPT'.

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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