Examples of prompts for Microsoft Copilot
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Updated
Sep 7, 2026 - PowerShell
Prompt engineering is the practice of designing and optimizing prompts to effectively guide large language models (LLMs) and generative AI systems. It improves AI responses by using clear instructions, relevant context, examples, and constraints to achieve accurate and reliable outputs.
Examples of prompts for Microsoft Copilot
138 bilingual AI marketing skills (69 VN + 69 Global) for Claude Code, OpenCode, Codex, VS Code. Four role SOP packs — content, design, performance, leader ops — plus strategy, personal brand, AI avatar, dropshipping, design master, knowledge library. 4 regions (US/EU/SEA/LATAM) + Vietnam 2025-2026. Companion: opa-kit.
Boring Is All You Need: a Codex Desktop workflow replacement with transactional migration, audit-only managed hooks, risk-based review, scoped checkpoint commits, and release evidence.
天命 · AI长篇小说协同创作/写作Skill — 模块化提示词工程系统 (Claude Skill / Prompt Engineering for Novel Writing)
OpenCode skill suite for MiniMax H3 directing, routing, multishot planning, prompt generation, and review.
Master AI prompting for business innovation. O'Reilly Live Learning course by Tim Warner covering ChatGPT, Claude, Copilot, and enterprise prompt engineering with MCP implementation.
Operational doctrine for practical AI systems design.
Multi-agent engineering framework: evidence packs, runtime validation, task decomposition, cross-window worker execution, and CI artifact verification for Codex.
AI skill for rewriting machine-generated text to sound human-written across 9 languages - 5-stage pipeline: cleanup → specificity → tone → rhythm → proofread.
Interactive AI tutor built as a Claude Code skill — teaches with spaced repetition, personalized project examples, and a visual progress dashboard
A skills & discipline framework for Microsoft 365 Copilot Cowork — for knowledge workers using AI as a coworker.
🪢 Local-first, agent-agnostic R&D harness — persistent memory, domain SOPs, contract handoffs & quality gates for PM + Engineering | 本地优先、工具无关的 AI 研发治理与交付框架
十三希诺通用 Agent 工作流——把任何工程任务强制按「三级跑道(L1 快速通道/L2-S 短工作流/L2-F 完整 11 步)+ L1/L2/L3 封闭清单速判 + 三模式」推进的可审计工程治理 Skill。场景化单发豁免、场景判定不清默认按持续、细则三层 T1·T2·T3、Steer 纠偏续跑、Parallel 依赖协议、回指理解强制、跨会话留档一档制、设计前先调研成熟设计、283 条/17 类落地细则症状索引、审计修复门禁。
针对中文AI编程的Top 20 提示词,做skill用于辅助codex/claude生成代码
Battle-tested Claude Code skills for relentless AI delivery
A portable library of reusable AI skills, prompts, workflows, schemas, and automation patterns designed for ChatGPT, Claude, Copilot, and local LLM workflows.
Multi-agent orchestration system for GitHub Copilot with specialized agents, reusable skills/prompts, and validation tooling.
🎬 超级导演系统 · A director's judgment installed into Claude — 光影/分镜/调度图/节奏/美学全套导演工艺,输出六段式视频提示词 (Sora/Kling/Veo/Seedance)。13 skills incl. 11 master-director styles. Bilingual 中/EN.
⚗️ AI Agent 生态每天海量资讯,99% 是噪音。这个仓库只做一件事:把最新碎片信号提纯为你能直接用的架构导轨、设计模式和工程实践。
The definitive Claude Code setup, configuration, and mastery skill — CLAUDE.md engineering, MCP servers, agent teams, hooks, CI/CD, and self-updating knowledge base