
orca-per-workspace-env
★ 12,449by stablyai · part of stablyai/orca
Set up, review, debug, or validate Orca per-workspace environment recipes — on-demand, disposable runtimes (cloud sandboxes, VMs, or local) created fresh for each workspace. 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 to stand up per-workspace environments, fix a `environmentRecipes` entry in `orca.yaml`, scaffold provider lifecycle scripts, or resolve an `o
This is the playbook your agent receives when the skill activates — you don't need to read it to use the skill, but it's here to audit before installing.
Per-Workspace Environments
This discovery stub loads the version-matched guide from the Orca executable used for this session.
Resolve the CLI for this session
Choose the executable once and reuse it for every later command:
- If the
ORCA_CLI_COMMANDenvironment 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, useorca-dev. - Otherwise, on Linux outside an Orca-managed terminal, use
orca-ide. Never run bareorcathere — 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.
npx skills add stablyai/orca --skill "orca-per-workspace-env" --full-depthRun this in your project — your agent picks the skill up automatically.
Load the version-matched guide before running Orca commands
ORCA skills get orca-per-workspace-envPrefer --json. Use the selected executable's --help for commands or flags the guide does
not cover. If a command reports that Orca is not running, start it with ORCA open --json
and retry. If skills get is unknown, explain that updating Orca restores the guide; use
--help for read-only discovery and do not guess unsupported commands.
No common issues documented yet. If you hit a problem, the repository's GitHub Issues page is the best place to look.
Licensed under MIT— you can use, modify, and redistribute it under that license's terms.
View the full license file on GitHub →