Create or register a canvas extension in the awesome-copilot repository. Use when asked to scaffold a new canvas extension, create its plugin.json, add a reusable extension to one or more plugins, or migrate extension metadata. Extensions are reusable source under extensions/; shippable plugin manifests belong under plugins/.
aspire
aspire is an open-source integrations skill for Claude Code and compatible agents, published by github. Its author describes it as: “Aspire skill covering the Aspire CLI, AppHost orchestration, service discovery, integrations, MCP server, VS Code extension, Dev Containers, GitHub Codespaces, templates, dashboard, and deployment. Use when the user a…”. The project has 38k stars on GitHub and is available under the MIT license. Add it to your setup with `git clone https://github.com/github/awesome-copilot ~/.claude/skills/aspire`.
What aspire does
Aspire is a **code-first, polyglot toolchain** for building observable, production-ready distributed applications. It orchestrates containers, executables, and cloud resources from a single AppHost project — regardless of whether the workloads are C#, Python, JavaScript/TypeScript, Go, Java, Rust, Bun, Deno, or PowerShell.
Installation
Add aspire to your agent with:
git clone https://github.com/github/awesome-copilot ~/.claude/skills/aspireAlways review a skill's source before installing it. This command comes from the skill's public repository; the linked repo is the source of truth for exact setup steps.
What's inside
The SKILL.md for aspire is organised into these sections:
- References
- 1. Researching Aspire Documentation
- Aspire CLI 13.2+ (recommended — has built-in docs search)
- Aspire CLI 13.1 (integration tools only)
- Fallback: Context7
- Fallback: GitHub search (when Context7 is also unavailable)
- 2. Prerequisites & Install
- 3. Project Templates
- 4. AppHost Quick Start (Polyglot)
- 5. Core Concepts (Summary)
- 6. CLI Quick Reference
- 7. Common Patterns
When to use it
Reach for aspire when you want integrations help from your agent without writing the same instructions every session. Load the skill and the agent picks it up automatically for relevant tasks.
Strengths
- Clear MIT license — safe to read and adapt
- Ships in github/awesome-copilot, an established project with 37,982 GitHub stars
- Actively maintained (recent commits)
Topics
Frequently asked questions
- What does aspire do?
- Aspire skill covering the Aspire CLI, AppHost orchestration, service discovery, integrations, MCP server, VS Code extension, Dev Containers, GitHub Codespaces, templates, dashboard, and deployment. Use when the user asks to create, run, debug, configure, deploy, or troubleshoot an Aspire distributed application.
- How do I install aspire?
- Run git clone https://github.com/github/awesome-copilot ~/.claude/skills/aspire in your agent, then reload your skills. Review the source at https://github.com/github/awesome-copilot before installing.
- Is aspire free to use?
- Yes. aspire is free and open source under the MIT license, so you can read, run, and adapt it within that license's terms.
- Where does aspire come from?
- aspire ships inside github/awesome-copilot, a repository that contains 41 catalogued skills in total. The repository's 37,982 GitHub stars apply to that whole collection, not to this skill on its own.
Related skills
More Integrations →Run the AgentRC readiness assessment on the current repository and produce a static HTML dashboard at reports/index.html. Wraps `npx github:microsoft/agentrc readiness` and hands off rendering to the @ai-readiness-reporter custom agent. Supports policies (--policy) for org-specific scoring. Use when asked to assess, audit, or score the AI readiness of a repo.
Generate tailored AI agent instruction files via AgentRC instructions command. Produces .github/copilot-instructions.md (default, recommended for Copilot in VS Code) plus optional per-area .instructions.md files with applyTo globs for monorepos. Use after running /acreadiness-assess to close gaps in the AI Tooling pillar.
Help the user pick, write, or apply an AgentRC policy. Policies customise readiness scoring by disabling irrelevant checks, overriding impact/level, setting pass-rate thresholds, or chaining org baselines with team overrides. Use when the user asks about strict mode, AI-only scoring, custom weights, CI gating, or wants org-wide standardisation.
Add educational comments to the file specified, or prompt asking for file to comment if one is not provided.