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Orca Per-Workspace Env

Free

Set up and validate disposable workspace environments easily.

by stablyai41.8k stars on stablyai/orca
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Updated Aug 10, 2026
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Free · Opens the source repo

What Orca Per-Workspace Env does

Orca Per-Workspace Env is a skill designed for developers and designers who need to manage disposable runtimes for their projects. This skill allows you to set up, review, debug, and validate environment recipes specific to each workspace, whether they are cloud sandboxes, virtual machines, or local instances. The focus is on creating fresh environments tailored to individual workspace needs, ensuring that you can work in isolated settings without residual configurations from previous sessions.

The skill covers essential tasks, including the first-time setup of provider prerequisites, reusable base snapshots, and coding-agent authentication snapshots. It also helps in managing credentials and state, which are crucial for maintaining the integrity of your workspace. With Orca, you can easily fix issues in your environmentRecipes entries within the orca.yaml file, scaffold lifecycle scripts for your providers, and troubleshoot failures using the orca vm recipe doctor command. This ensures that your development environment is always in a ready state, minimizing downtime and enhancing productivity.

Orca is designed to be a thin wrapper around your commands, meaning it does not take control of your cloud accounts or billing. Instead, it requires explicit user permission for any resource provisioning, making it a secure choice for managing your environments. The skill is particularly useful for teams that require consistent and repeatable setups across various projects, allowing for better collaboration and efficiency.

In summary, Orca Per-Workspace Env is an essential tool for anyone involved in development or design who needs to manage multiple workspace environments efficiently. It streamlines the process of setting up and maintaining these environments, ensuring that you can focus on your work without the hassle of configuration management.

When to use it

Use this skill when you need to create or manage isolated environments for different projects, ensuring clean and repeatable setups.

When not to use it

This skill may not be suitable for users who require persistent environments or those who do not work with disposable runtimes.

What you can build with it

Setting Up New Projects

Quickly create isolated environments for new projects, ensuring no leftover configurations affect your work.

Debugging Environment Issues

Use the skill to troubleshoot and resolve errors in your workspace setup, enhancing development efficiency.

Managing Multiple Workspaces

Easily switch between different workspace configurations without the risk of cross-contamination.

How to install Orca Per-Workspace Env

View source

1. Install with the skills CLI

npx skills add stablyai/orca/orca-per-workspace-env --agent claude-code

2. Or install it manually

Download the skill folder and drop it into ~/.claude/skills/ for all projects, or .claude/skills/ to scope it to one repo. Restart Claude Code so it picks up the new skill.

Anthropic's agentic coding CLI, and the reference implementation of Agent Skills. Drop a skill folder into ~/.claude/skills and Claude Code loads it automatically whenever a task matches the skill's description. Claude Code docs

Inside SKILL.md

Written by stablyai

Per-Workspace Environments

This file is a discovery stub, not the usage guide. The full, version-matched per-workspace environment reference is served by the orca binary itself — kept out of this file on purpose so it can never drift from the binary that will actually run your commands.

Engage Orca whenever you set up, review, debug, or validate a per-workspace environment recipe — the on-demand, disposable runtimes (cloud sandboxes, VMs, or local) created fresh for each workspace. This covers first-time setup (provider prerequisites, the reusable base snapshot, the coding-agent auth snapshot, credentials, and state), not just the per-workspace lifecycle scripts. Use it to stand up per-workspace environments, fix an environmentRecipes entry in orca.yaml, scaffold provider lifecycle scripts, or resolve an orca vm recipe doctor failure. Orca is a thin wrapper: you guide, detect, and scaffold; you never own the user's cloud account, billing, images, or credentials, and never spend money without an explicit user OK.

Resolve the CLI for this session

Choose the executable once and reuse it for every later command:

  • If the ORCA_CLI_COMMAND environment variable is set, use its value. Orca exports this for managed WSL sessions.
  • Otherwise, in a dev checkout whose session exposes ORCA_DEV_REPO_ROOT, use orca-dev.
  • Otherwise, on Linux outside an Orca-managed terminal, use orca-ide. Never run bare orca there — outside Orca's terminals it normally resolves to the GNOME Orca screen reader (/usr/bin/orca) and starts speech on the user's machine.
  • Otherwise, use orca.

Below, ORCA is a placeholder for the executable you resolved. Substitute it before running anything; do not create a shell variable or run ORCA literally. This works the same way in POSIX shells, PowerShell, and cmd.exe.

If the selected executable cannot run, report its exact error and stop. Do not fall through to another executable, which could silently target a different Orca build.

Load the full guide before running Orca commands

ORCA skills get orca-per-workspace-env

That prints the complete, version-matched guide for the exact binary that will handle your next commands — provider setup, base and auth snapshots, environmentRecipes in orca.yaml, lifecycle scripts, and orca vm recipe doctor. Read it first, then run the specific command you need.

Don't guess subcommands or flags from memory or from a cached copy of this stub. They change between Orca releases, and this file deliberately no longer lists them. Confirm the app is up with ORCA status --json (start it with ORCA open --json if needed), and prefer --json for agent-driven calls.

If an older Orca does not recognize skills get

Use this fallback only when the selected binary explicitly reports that skills get is an unknown command. Another failure is not proof of an older binary; report it rather than guessing or changing executables. For a confirmed pre-guide binary, use only this bounded, read-only bootstrap to orient. Do not dead-end and do not invent commands:

ORCA status --json
ORCA vm recipe doctor <recipe-id> --repo-path <repo> --json

The doctor command above is the free static check. Never add --provision without the user's explicit approval because it creates provider resources and may spend money.

Then tell the user that updating Orca restores the full, version-matched guide via ORCA skills get orca-per-workspace-env. Beyond these commands, ask the user rather than guessing a command surface this older binary may not support.

Frequently asked questions about Orca Per-Workspace Env

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