Stop vibe-debugging. Every exception, every backtrace, grouped so you see patterns, not noise. Learn more →
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awesome-copilot discussion
awesome-copilot reviews and mentions
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GPT-5.6 launched and developers immediately hit their usage limits. The fix is not a bigger plan
5. context-map - 9,357 installs (GitHub) Generate a precise map of relevant files, dependencies and tests up front, so the agent navigates instead of exploring. Exploration is the silent budget killer: every wrong file opened is paid for again in every later turn that carries it.
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GitHub Copilot for Engineers: Getting Better Results
github.com/github/awesome-copilot is the official community-curated repository of Copilot instructions, agents, skills, and prompts. Before writing any configuration from scratch, check here first. It is far faster to adapt a battle-tested instruction file than to start from a blank page. The catalogue covers common engineering workflows: security review, frontend, documentation, and more.
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The playwright-explore-website Copilot skill
I did not invent the starting point from scratch. The initial version was based on the original playwright-explore-website example in awesome-copilot. What I changed was the setup guidance and the execution rules, so it behaves better in real browser work, especially for regression checks and visual QA, instead of acting like a generic prompt stub.
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Visual Studio Weekly: The Debugger Agent Just Got Serious
It's early, but the awesome-copilot repo already has community examples. The framework is there; now it's about building the library of skills that actually save time.
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Agent Package Manager (APM): A DevOps Guide to Reproducible AI Agents
In this post we will look at APM from a DevOps angle, walk through a first install, and then wire it up to the awesome-copilot marketplace so you can pull in battle-tested plugins, skills, and agents without writing any of your own.
- GitHub Copilot – Community-contributed agents, instructions, and skills
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Visual Studio Weekly: Custom Copilot Agents Are Here
The implementation is straightforward. Each agent is a markdown file with instructions, tool access, and optional MCP server connections. If you don't specify a model, it uses whatever you've selected in the model picker. The awesome-copilot repo has community-contributed examples you can use as starting points, though you'll need to verify tool names since they vary across GitHub Copilot platforms.
- The Rise of the Fleet: Scaling My Engineering Workflow with VSCode Copilot Agents
- Visual Studio Weekly: Custom Agents, MCP Governance, and Performance Upgrades
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Embedding Accessibility into AI based software development
I've published the detailed instructions at the Awesome Copilot project. This is a great place to start.
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A note from our sponsor - AppSignal
www.appsignal.com | 13 Sep 2026
Stats
github/awesome-copilot is an open source project licensed under MIT License which is an OSI approved license.
The primary programming language of awesome-copilot is JavaScript.
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