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mirrord-quickstart

Guide users from zero to their first working mirrord session — check system requirements, install mirrord via CLI, VS Code, or IntelliJ, run a first session…

Skill by MetalBear

IndexedMIT★ 29
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npx agentmarket install skill/metalbear-co-mirrord-quickstart

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About

Guide users from zero to their first working mirrord session — check system requirements, install mirrord via CLI, VS Code, or IntelliJ, run a first session against a Kubernetes target, and verify the connection. Use when a user is new to mirrord, wants to install it, needs help running their first session, or wants to debug or test a local process against their Kubernetes cluster.

Use cases: testing, devops

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What this skill can do and what it asks for, from its SKILL.md and code. Checked Oct 25, 2026.

Tools
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Secrets
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Install scripts
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Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/mirrord-quickstart

What's inside

Skill name
mirrord-quickstart
Description
Guide users from zero to their first working mirrord session — check system requirements, install mirrord via CLI, VS Code, or IntelliJ, run a first session against a Kubernetes target, and verify the connection. Use when a user is new to mirrord, wants to install it, needs help running their first session, or wants to debug or test a local process against their Kubernetes cluster.
License
MIT
Metadata
author: MetalBear · version: 1.4
Instructions
126 lines in SKILL.md · view on GitHub

Before installing

  • Instructions call the network

Files (2)

  • README.md
  • SKILL.md

SKILL.md (first lines)

# Mirrord Quickstart Skill

## Purpose

Help new users get mirrord running quickly:
- **Check** system requirements
- **Install** mirrord (CLI, VS Code, or IntelliJ)
- **Connect** to their first Kubernetes target
- **Verify** the connection works

Go one step at a time — don't overwhelm a new user with all options at once, and when they first connect, explain what just happened.

## Critical First Steps

**Step 1: Detect user's environment**
Ask or detect:
- Operating system (macOS, Linux, Windows)
- Preferred workflow (CLI, VS Code, IntelliJ)
- Do they have kubectl configured?

**Step 2: Verify requirements**
```bash
# Check kubectl access
kubectl cluster-info
kubectl get pods -A | head -5
```

If kubectl fails, help them configure it first.

**Cluster requirements:** Kubernetes `1.22` or later, with nodes on Linux kernel `5.4`+ and a containerd, CRI-O, or Docker runtime. Some features need a newer Kubernetes version (for example, the agent as an ephemeral container needs `1.23`); point users at [Cluster Requirements](https://metalbear.com/mirrord/docs/installing-mirrord#cluster-requirements) if a specific feature fails on an older cluster.

## Installation Paths

### CLI (recommended for getting started)

**Do not** run remote install scripts that pipe a network download into a shell interpreter. Use only methods your organization approves.

**Official guide:** Follow [mirrord installation documentation](https://mirrord.dev/docs/overview/quick-start/) for supported options (package managers, pinned release binaries with checksum verification, etc.).

**Summary for the agent:**
- **macOS / Linux:** Point the user to the official docs for Homebrew, apt, or pinned binary install steps — do not invent or paste one-liners that fetch and execute remote scripts.
- **Windows:** Point the user to the official docs for supported installers.

> **Security:** Prefer package managers or manually verified binaries from official release artifacts. Never execute installation by piping downloaded content into a shell.

**Verify installation:**
```bash
mirrord --version
```

### VS Code Extension

1. Open VS Code Extensions (Cmd/Ctrl+Shift+X)
2. Search "mirrord"
3. Install "mirrord" by MetalBear
4. Look for mirrord icon in status bar

### IntelliJ Plugin

1. Open Settings → Plugins → Marketplace
2. Search "mirrord"
3. Install and restart IDE
4. Find mirrord in navigation toolbar

## First Session

### CLI approach

```bash
# List available targets
mirrord ls

# Run a local process with mirrord
mirrord exec --target pod/<pod-name> -- <your-command>

# Example: Node.js app
mirrord exec --target pod/api-server-7c8d9 -- node app.js

# Example: Python app
mirrord exec --target pod/backend-abc123 -- python main.py
```

If `mirrord ls` returns no targets, check that the kubeconfig context points at the right cluster (`kubectl config current-context`) and list pods in the expected namespace (`kubectl get pods -n <namespace>`).

### IDE approach

1. Enable mirrord (click status bar icon / toolbar button)
2. Select target pod when prompted
3. Run/debug your application normally
4. mirrord intercepts and connects automatically

## Verification

After running, verify the connection:

1. **Check logs** - mirrord's startup progress (agent started, connected to the target) prints before your app's own output:
```bash
mirrord exec --target pod/<pod-name> -- <your-command>
```
2. **Test environment** - Remote env vars should be available locally:
```bash
mirrord exec --target pod/<pod-name> -- env | grep -i database
```
3. **Test network** - Send a request to the remote service; it should reach the local process (check the local process's output):
```bash
curl http://<remote-service-url>
```

## What's Next

Once the first session works, point users to:
- **`mirrord ui`** — launches a local dashboard showing every active session on the machine, with a live event stream (HTTP requests, file operations, DNS, outgoing connections). See [Local UI](https://metalbear.com/mirrord/docs/using-mirrord/local-ui).
- **`mirrord up`** — for debugging several microservices together from one `mirrord-up.yaml` (compose-style). Point to the **mirrord-up** skill.
- **Browser extension** — routes requests made from Chrome to the local process, for testing an HTTP-filtered session from a browser instead of `curl`. See [Debugging from Browser](https://metalbear.com/mirrord/docs/using-mirrord/incoming-traffic/debug-from-browser).
- **mirrord for Teams features** (DB branching, queue splitting, preview environments, concurrent steal on one target) need the Operator. On a cluster with no license, an AI agent can offer the user a seven-day Enterprise trial and start it once they agree: point to the **mirrord-operator** skill, "Agent-started trial".

## Common First-Timer Issues

| Issue | Solution |

From metalbear-co/skills, MIT.

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Forks
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Last commit (this folder)
Oct 20, 2026 (9 days ago)

From GitHub (fetched Oct 24, 2026).

Details

Version
1.4
License
MIT
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

More from MetalBear

Cite this page

mirrord-quickstart skill. Agent Mart. https://agentmart.dev/skills/metalbear-co-mirrord-quickstart (last updated 2026-10-24)