复制安装命令
用 Codex 或 Claude 安装复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它先审查 Skill 页面再帮你安装。
复制前请先查看来源、License 和安全提示。
Powered by Awesome Copilot GitHub contributors from allcontributors.org
用 Codex 或 Claude 安装复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它先审查 Skill 页面再帮你安装。
复制前请先查看来源、License 和安全提示。
来源文件:README.md
A community-created collection of custom agents, instructions, skills, hooks, workflows, and plugins to supercharge your GitHub Copilot experience.
[!TIP] Explore the full collection on the website → awesome-copilot.github.com
The website offers full-text search and filtering across hundreds of resources, plus the Learning Hub for guides and tutorials.
Using this collection in an AI agent? A machine-readable
llms.txtis available with structured listings of all agents, instructions, and skills.
New to GitHub Copilot customization? The Learning Hub on the website offers curated articles, walkthroughs, and reference material — covering everything from core concepts like agents, skills, and instructions to hands-on guides for hooks, agentic workflows, MCP servers, and the Copilot coding agent.
| Resource | Description | Browse |
|---|---|---|
| 🤖 Agents | Specialized Copilot agents that integrate with MCP servers | All agents → |
| 📋 Instructions | Coding standards applied automatically by file pattern | All instructions → |
| 🎯 Skills | Self-contained folders with instructions and bundled assets | All skills → |
| 🔌 Plugins | Curated bundles of agents and skills for specific workflows | All plugins → |
| 🍳 Cookbook | Copy-paste-ready recipes for working with Copilot APIs | — |
For most users, the Awesome Copilot marketplace is already registered in the Copilot CLI/VS Code, so you can install a plugin directly:
copilot plugin install <plugin-name>@awesome-copilot
If you are using an older Copilot CLI version or a custom setup and see an error that the marketplace is unknown, register it once and then install:
copilot plugin marketplace add github/awesome-copilot
copilot plugin install <plugin-name>@awesome-copilot
See CONTRIBUTING.md · AGENTS.md for AI agent guidance · Security · Code of Conduct
The customizations here are sourced from third-party developers. Please inspect any agent and its documentation before installing.
Thanks goes to these wonderful people (emoji key):
This project follows the all-contributors specification. Contributions of any kind welcome!
This project may contain trademarks or logos for projects, products, or services. Authorized use of Microsoft trademarks or logos is subject to and must follow Microsoft's Trademark & Brand Guidelines. Use of Microsoft trademarks or logos in modified versions of this project must not cause confusion or imply Microsoft sponsorship. Any use of third-party trademarks or logos are subject to those third-party's policies.
name: qdrant-scaling
description: "Guides Qdrant scaling decisions. Use when someone asks 'how many nodes do I need', 'data doesn't fit on one node', 'need more throughput', 'cluster is slow', 'too many tenants', 'vertical or horizontal', 'how to shard', or 'need to add capacity'."
allowed-tools:
- Read
- Grep
- GlobFirst determine what you're scaling for:
After determining the scaling goal, we can choose scaling strategy based on tradeoffs and assumptions. Each pulls toward different strategies. Scaling for throughput and latency are opposite tuning directions.
This becomes relevant when volume of the dataset exceeds the capacity of a single node. Read more about scaling for data volume in Scaling Data Volume
If your system needs to handle more parallel queries than a single node can handle, then you need to scale for query throughput.
Read more about scaling for query throughput in Scaling for Query Throughput
Latency of a single query is determined by the slowest component in the query execution path. It is in sometimes correlated with throughput, but not always. It might require different strategies for scaling.
Read more about scaling for query latency in Scaling for Query Latency
By query volume we understand the amount of results that a single query returns. If the query volume is too high, it can cause performance issues and increase latency.
Tuning for query volume is opposite might require special strategies.
Read more about scaling for query volume in Scaling for Query Volume
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