docs/ai_builder/integrations/skills.md
import reflex as rx
def _summary_card(kicker: str, title: str, body: str) -> rx.Component:
return rx.el.div(
rx.el.div(kicker, class_name="text-xs font-semibold uppercase text-primary-10"),
rx.el.h3(title, class_name="text-base font-semibold text-secondary-12"),
rx.el.p(body, class_name="text-sm leading-6 text-secondary-11"),
class_name="flex flex-col gap-2 rounded-lg border border-secondary-a4 bg-white-1 p-4",
)
def skills_summary_cards() -> rx.Component:
return rx.el.div(
_summary_card(
"Docs",
"Current Reflex guidance",
"Point agents to the right Reflex docs for state, vars, components, routing, styling, deployment, and more.",
),
_summary_card(
"Setup",
"Python environment workflow",
"Teach agents how to create a virtual environment, install Reflex, and initialize a new project safely.",
),
_summary_card(
"Runtime",
"Process management",
"Give agents a repeatable way to compile, run, restart, and debug Reflex apps without guessing at processes.",
),
_summary_card(
"Context",
"Pairs well with MCP",
"Use skills for durable local instructions and MCP for structured lookup of current docs and component data.",
),
class_name="grid grid-cols-1 gap-3 md:grid-cols-2 my-6",
)
Reflex Agent Skills give AI coding assistants up-to-date guidance for building Reflex applications. They package Reflex-specific knowledge, setup steps, and process-management workflows into reusable SKILL.md files that agents can load when the conversation or codebase calls for them.
The skills are maintained in the reflex-dev/agent-skills repository and are designed for agents that support the Agent Skills standard, including Claude Code, Cursor, OpenCode, OpenAI Codex, and Pi.
skills_summary_cards()
Use Reflex Agent Skills when you want an AI assistant to follow Reflex-specific workflows instead of relying only on general training data. They are especially useful when an assistant needs to:
Skills load contextually. For example, when an assistant sees a Python file importing reflex as rx, it can load the Reflex docs skill. When you ask it to start a new app, it can load the Python environment setup skill before running project commands.
Skills and MCP solve related but different problems. For the best experience, use both.
# Skills
Local instruction packs that tell the agent how to work with Reflex, which workflows to follow, and which references matter for common development tasks.
# MCP
Structured runtime access to Reflex documentation and component information through a hosted server. Use it when an agent or editor can call MCP tools directly.
# Use Skills for durable local guidance. Use MCP for structured documentation lookup and richer tool-assisted context.
Choose the install path that matches your assistant.
## Claude Code
Install the plugin from the Claude Code plugin marketplace:
```text
/plugin marketplace add reflex-dev/agent-skills
/plugin install reflex@reflex-agent-skills
```
Restart or refresh Claude Code after installation if the skills do not appear immediately.
## Cursor
Install from the Cursor Marketplace, or add the repository manually from:
```text
reflex-dev/agent-skills
```
In Cursor, add it through **Settings > Rules > Add Rule > Remote Rule (GitHub)**.
## CLI
If your environment supports the `skills` CLI, install the package with:
```bash
npx skills add reflex-dev/agent-skills
```
Use the CLI's update command later to keep the skill pack current.
## Manual
Clone the repository:
```bash
git clone https://github.com/reflex-dev/agent-skills.git
```
Then copy the folders inside `skills/` into the appropriate location:
| Agent | Skill Directory |
| --- | --- |
| Claude Code | `~/.claude/skills/` |
| Cursor | `~/.cursor/skills/` |
| OpenCode | `~/.config/opencode/skills/` |
| OpenAI Codex | `~/.codex/skills/` |
| Pi | `~/.pi/agent/skills/` |
Copy the skill folders themselves, not the parent `skills/` directory.
The Reflex skill pack includes three core skills.
## Docs
The `reflex-docs` skill gives the assistant a Reflex-specific reference map and a summary of the framework's core concepts.
### Use this skill when the assistant is:
- Building full-stack Python web apps with Reflex.
- Writing files that import `reflex` or use the `rx` namespace.
- Creating components.
- Managing state, vars, computed vars, or event handlers.
- Working with routing, styling, database models, assets, authentication, client storage, API routes, custom components, or wrapped React components.
### It points the assistant to docs for:
- Core app structure: getting started, components, state and vars, events, pages, and routing.
- UI and styling: styling, assets, the component library, and recipes.
- Backend features: database models, authentication, client storage, API routes, and API reference.
- Advanced integrations: custom components and wrapped React components.
It also reminds the assistant to prefer current Reflex documentation over pre-trained knowledge when there is a conflict.
## Setup
The `setup-python-env` skill guides the assistant through setting up a Python environment for a Reflex app.
### Use this skill when:
- Starting a new Reflex project.
- Setting up a development environment.
- There is no `.venv` directory.
- Reflex imports fail because dependencies are missing.
### Preferred workflow:
```bash
uv venv .venv
source .venv/bin/activate
uv add reflex
reflex init
```
If `uv` is not available, the skill falls back to:
```bash
python3 -m venv .venv
source .venv/bin/activate
pip install --upgrade pip
pip install reflex
reflex init
```
The workflow checks for an existing `.venv`, verifies Python 3.10 or newer, and installs Reflex only when needed.
## Process
The `reflex-process-management` skill teaches the assistant how to compile, run, reload, and debug Reflex apps.
### Use this skill when:
- Testing that a Reflex app compiles.
- Starting a local Reflex server.
- Restarting a server after code changes.
- Reading logs to diagnose app errors.
### Validation command:
```bash
reflex compile --dry
```
### Run command:
```bash
reflex run --env prod --single-port 2>&1 | tee reflex.log
```
Production mode does not hot reload. To apply code changes, the assistant should stop the listening process for the app port and restart the server:
```bash
lsof -i :<port> -sTCP:LISTEN -t
kill -INT $(lsof -i :<port> -sTCP:LISTEN -t)
```
Using `-sTCP:LISTEN` helps the assistant target the server process instead of browser connections.
## New App
1. Install Reflex Agent Skills in your assistant.
2. Ask the assistant to create or initialize a Reflex app.
3. The assistant should load `setup-python-env`.
4. After the environment is ready, the assistant can run `reflex init`.
5. As the app is built, the assistant should use `reflex-docs` for current framework guidance.
6. Before handing the app back, the assistant should use `reflex-process-management` to compile or run the project.
## Existing
1. Open your Reflex project in an agent-enabled editor.
2. Ask for the feature, bug fix, or refactor you want.
3. The assistant should load `reflex-docs` when it sees Reflex code.
4. For local verification, the assistant should compile the app with `reflex compile --dry` or run it with the process-management workflow.
## Debugging
1. Ask the assistant to inspect the error.
2. The assistant should read `reflex.log` if the app was started through the process-management workflow.
3. The assistant should identify the failing import, component, event handler, route, or state update.
4. After applying a fix, the assistant should restart the app if it is running in production mode.
Because Reflex evolves quickly, update the skill pack regularly.
If you installed through a marketplace or skills CLI, update through that same tool. If you cloned the repository manually, pull the latest changes:
cd agent-skills
git pull
Then copy the updated skill folders back into your assistant's skills directory if your setup does not read directly from the cloned repository.
## Loading
Check that:
- Your assistant supports Agent Skills.
- The skill folders are in the correct skills directory.
- Each skill folder contains a `SKILL.md` file.
- The assistant was restarted or refreshed after installation if required.
## Outdated Advice
Ask the assistant to use the Reflex docs skill, or pair the skill pack with the Reflex MCP integration for structured access to current docs and component information.
## Commands
Ask the assistant to follow the `setup-python-env` skill again and verify:
- The virtual environment is active.
- Python is version 3.10 or newer.
- Reflex is installed in the active environment.
- The command is being run from the project root.
## App Updates
If the app was started with `--env prod`, it will not hot reload. Restart the server with the `reflex-process-management` workflow.
Each skill lives in skills/<name>/ and contains a SKILL.md manifest. To contribute new guidance, update or add a skill in the reflex-dev/agent-skills repository and follow the Agent Skills spec for the skill format.