API Architect
Your role is that of an API architect. Help mentor the engineer by providing guidance, support, and working code.
- Type
- Subagent
- Repository
- github/awesome-copilot
- GitHub stars
- 39.4k
- License
- MIT
- Repo last updated
- Sep 27, 2026
- Source file
- agents/api-architect.agent.md
What API Architect is
API Architect is a subagent published in the github/awesome-copilot repository on GitHub, which has about 39.4k stars. The repository describes itself as: “Community-contributed instructions, agents, skills, and configurations to help you make the most of GitHub Copilot.”
A subagent is a specialist assistant that Claude can hand part of a task to. It is a markdown file whose frontmatter sets a name, a description that tells Claude when to delegate, and optionally the tools and model it may use; the body becomes the subagent's own system prompt.
Because a subagent works in its own context, it keeps the main conversation focused: Claude can send a narrow job, such as a review or a specialised analysis, to API Architect and get back a compact result.
How to install API Architect
Claude Code
- Download api-architect.agent.md from the repository.
- Save it to ~/.claude/agents/ to use it in every project, or to .claude/agents/ inside one project to share it through version control.
- Claude Code watches these folders, so the subagent is usually available right away. Ask Claude to use it by name, or @-mention it to make sure it runs.
Claude Cowork
- Cowork loads subagents through plugins. If the repository is packaged as a plugin marketplace, add it under Customize → Plugins → Add marketplace and install the plugin that contains this subagent.
- Otherwise, bundle the file into your own plugin's agents/ folder and upload it from Customize → Plugins.
New to extending Cowork? Our plugins guide and Customize guide explain how skills, plugins, and connectors fit together.
Inside the source file
An excerpt from agents/api-architect.agent.md, shared under the repository's MIT license. Read the full file on GitHub.
Your primary goal is to act on the mandatory and optional API aspects outlined below and generate a design and working code for connectivity from a client service to an external service. You are not to start generation until you have the information from the developer on how to proceed. The developer will say, "generate" to begin the code generation process. Let the developer know that they must say, "generate" to begin code generation.
Your initial output to the developer will be to list the following API aspects and request their input.
The following API aspects will be the consumables for producing a working solution in code:
- Coding language (mandatory)
- API endpoint URL (mandatory)
- DTOs for the request and response (optional, if not provided a mock will be used)
- REST methods required, i.e. GET, GET all, PUT, POST, DELETE (at least one method is mandatory; but not all required)
- API name (optional)
- Circuit breaker (optional)
- Bulkhead (optional)
- Throttling (optional)
- Backoff (optional)
- Test cases (optional)
When you respond with a solution follow these design guidelines:
- Promote separation of concerns.
- Create mock request and response DTOs based on API name if not given.
- Design should be broken out into three layers: service, manager, and resilience.
- Service layer handles the basic REST requests and responses.
- Manager layer adds abstraction for ease of configuration and testing and calls the service layer methods.
- Resilience layer adds required resiliency requested by the developer and calls the manager layer methods.
- Create fully implemented code for the service layer, no comments or templates in lieu of code.
- Create fully implemented code for the manager layer, no comments or templates in lieu of code.
- Create fully implemented code for the resilience layer, no comments or templates in lieu of code.
- Utilize the most popular resiliency framework for the language requested.
- Do NOT ask the user to "similarly implement other methods", stub out or add comments for code, but instead implement ALL code.
- Do NOT write comments about missing resiliency code but instead write code.
Before you install
- Read the whole file first. Skills, commands, and subagents are instructions Claude will follow, so make sure they match what you want.
- Check which tools, scripts, or MCP servers it uses. Local servers and scripts run with your permissions.
- Try it in a test project or a copy of your files before pointing it at real work.
- Pin the version you tested, and review changes before updating.
- Watch for instructions that fetch web content or run shell commands; those are where prompt injection risks start. See our prompt injection guide.
FAQ
What is API Architect?
API Architect is a subagent for Claude Code and Claude Cowork from the github/awesome-copilot repository on GitHub. Your role is that of an API architect. Help mentor the engineer by providing guidance, support, and working code.
How do I install API Architect in Claude Code?
Download api-architect.agent.md from the repository. Save it to ~/.claude/agents/ to use it in every project, or to .claude/agents/ inside one project to share it through version control. Claude Code watches these folders, so the subagent is usually available right away. Ask Claude to use it by name, or @-mention it to make sure it runs.
Can I use API Architect in Claude Cowork?
Cowork loads subagents through plugins. If the repository is packaged as a plugin marketplace, add it under Customize → Plugins → Add marketplace and install the plugin that contains this subagent. Otherwise, bundle the file into your own plugin's agents/ folder and upload it from Customize → Plugins.
Is API Architect safe to install?
It is a third-party community resource, not reviewed by Anthropic or this site. Read the source file first, check which tools and connectors it uses, and install only from sources you trust.
Similar resources
- Devops Oncall A focused set of prompts, instructions, and a chat mode to help triage incidents and respond quickly with DevOps tools and Azure resources. Plugin · github/awesome-copilot
- Doublecheck Three-layer verification pipeline for AI output. Extracts claims, finds sources, and flags hallucination risks so humans can verify before… Plugin · github/awesome-copilot
- DiffblueCover Expert agent for creating unit tests for java applications using Diffblue Cover. Subagent · github/awesome-copilot
- DevOps Expert DevOps specialist following the infinity loop principle (Plan → Code → Build → Test → Release → Deploy → Operate → Monitor) with focus on automation, collaboration, and continuous improvement Subagent · github/awesome-copilot
- Apify Integration Expert Expert agent for integrating Apify Actors into codebases. Handles Actor selection, workflow design, implementation across JavaScript/TypeScript and Python, testing, and production-ready deployment. Subagent · github/awesome-copilot
- Amplitude Experiment Implementation This custom agent uses Amplitude's MCP tools to deploy new experiments inside of Amplitude, enabling seamless variant testing capabilities and rollout of product features. Subagent · github/awesome-copilot
- Arch Linux Expert Arch Linux specialist focused on pacman, rolling-release maintenance, and Arch-centric system administration workflows. Subagent · github/awesome-copilot
- Agent Governance Reviewer AI agent governance expert that reviews code for safety issues, missing governance controls, and helps implement policy enforcement, trust scoring, and audit trails in agent systems. Subagent · github/awesome-copilot