sklp

Write this repo's deploy facts into AGENTS.md so AI agents know how it ships

Follow a remote CI run (status | watch)

Free disk space: rebuildable caches + dead runtime state (--images, --deep widen it)

Full-screen read-first monitor: flow lifecycle + live spaces/services

Emit shell completion script (bash | zsh | fish)

Manage a stack's config + secrets (.sklp/<stack>/config.yaml, Pulumi-style)

Run a stack's local dev environment (.sklp/<stack>/dev.yaml)

Feature lifecycle: open a branch/worktree (start), diff vs target + run CI (end)

Inspect this machine as a Space host

Onboard a repo: detect your AI assistant, install skills or a baseline

Query stack logs (severity, time range, full-text)

Manage the Linux VM sklp runs on macOS (Virtualization.framework)

Manage projects (list)

Manage container registry credentials: login | ls | logout

Run a pipeline from .sklp/pipelines/<name>.yaml (or -file <path>)

Sync project secrets between core and a local dotenv file (push | pull | list | delete)

Generate AI-assistant skills for this repo

Print the sklp binary version (use -short for the bare tag)

Everything an operator or an AI agent needs before acting: API login, projects, deploy contexts, stacks and config keys

Manage closed environments from .sklp/space.yaml (up | ls | get | down | exec | purge | build)

Pilot a node: apply .sklp/<stack>/deploy.yaml to it and inspect what runs

Manage the host ingress gateway (up | down | status | mux | redirect)

Inspect the repo cache / collect the CI tool cache (status, gc)

Build + push an OCI image daemonless (sklp image push)

Build the project runner image from .sklp/space.yaml

Manage project issues (list | new | show | edit | status | promote | gh-*)

Manage CLI authentication against the Skalpai API: login | status | logout