Documentation Index
Fetch the complete documentation index at: https://redop.useagents.site/docs/llms.txt
Use this file to discover all available pages before exploring further.
Agent Skills
AI-ready Redop knowledge for assistants that need to explain, design, debug, and build MCP servers with Redop.Redop includes an installable Agent Skill that teaches compatible AI assistants how Redop works. It packages framework knowledge, design guidance, example patterns, and practical prompts so the assistant can help with Redop tasks without depending on a local Redop checkout.
What are Agent Skills?
Agent Skills is an open specification for packaging AI assistant capabilities. Skills can ship:- Framework knowledge: core Redop concepts, lifecycle, transports, and composition patterns
- Design guidance: when to use tools, resources, prompts, middleware, hooks, modules, and plugins
- Implementation help: examples and prompts for building or debugging a Redop server
Available Skill
| Skill | Description |
|---|---|
skills/redop | Portable Redop framework knowledge for understanding, building, debugging, and extending Bun-first TypeScript MCP servers. |
Installing the Skill
Compatible agents can discover and use skills automatically. To install the Redop skill with the skills CLI:[Terminal]
What the Skill Does
Framework Explanation
The skill teaches assistants:- what Redop is and when it is a good fit
- the Redop mental model and explicit composition style
- how tools, resources, and prompts differ
- how the request lifecycle works from
derivethroughafterResponse
Design Guidance
The skill helps assistants answer questions such as:- when to model something as a tool vs a resource vs a prompt
- when to use middleware vs hooks
- when to use
.use(...)with feature modules vs extracting a plugin - when to scaffold with
create-redop-appvs install@redopjs/redopdirectly
Build and Debug Help
The skill includes guidance for:- building a first Redop server
- adding typed input with Zod and other supported schema styles
- choosing HTTP vs stdio transport
- understanding plugin-based typed request context
- debugging transport, lifecycle, and error-handling questions
Example Prompts
Ask your AI assistant:Skill Structure
Reference Documents
The Redop skill ships with focused references:foundations.md
- what Redop is
- the core mental model
- when to choose Redop
- constructor and request-context basics
surfaces.md
- tool, resource, and prompt design
- schema usage
- annotations
- handler contracts
runtime.md
- request execution order
- middleware and hooks
- error behavior
- after-response work
composition.md
- feature modules
- plugins
- typed context propagation
- built-in auth and logging helpers
transports.md
listen()shapes- HTTP vs stdio
/mcp- session behavior and transport caveats
scaffolding.md
create-redop-app- install-vs-scaffold decisions
- starter defaults
- transport, schema, and deploy choices
examples.md
- portable example patterns
- optional deep-dive pointers when a Redop checkout is available