mcpbeat

Routines

google/routines

Use when the user wants a recurring task done automatically on a schedule (daily/weekly/cron) that DOES WORK unattended — pull data and summarize, open a PR, post a digest — rather than just a time-based reminder ping, OR when the user wants to test/dry-run/"run now" a routine before scheduling it. Explains how to author a routine, test it once on demand, and schedule it to run in an isolated sandbox with only declared credentials, via the routine tool.

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on the repository, not the skill itself

Install

one command, takes just this skill from the repository
npx skills add https://github.com/google/adk-samples --skill routines

What it tells the agent to use

found in the instruction text
Bash runs shell commands — read the instruction before connecting

The instruction itself

5 sections, as written by the author

Scheduling routines

A routine is a recurring task that runs unattended on a cron schedule, in

a fresh sandbox isolated from the user's workspace, holding **only the secrets

the routine declares**. Use it for "every morning, summarize X and report" /

"weekly, bump deps and open a PR" — work that should happen without the user

present. For a plain "remind me at 9pm" message, use reminder instead.

The isolation model (why this is safe)

  • The routine runs in its OWN sandbox (lhart-<id>), never the user's — so it

cannot see their workspace, other projects, or undeclared secrets.

  • It receives ONLY the secret env vars listed in secrets: — that list IS the

blast-radius boundary. Declare the minimum the task needs (check the "Available

secret env vars" line for the names).

  • It is headless (nobody to approve mid-run): shell commands run normally in

the isolated sandbox — git clone, pip install, build, commit/push all

work, since the sandbox is the blast radius. Secret-exfiltration and

known-destructive commands are still refused, and any *non-shell* action that

would need approval is auto-denied — design the task to avoid those, or do an

irreversible external step as a draft for the user to confirm later.

  • Outputs come back as artifacts in the routine's session — it cannot write into

the user's workspace.

How to author one

Call routine(action="create", name=..., schedule=..., task=..., secrets=[...]):

  • schedule: a 5-field cron expression ("0 8 * * *" = daily 08:00 UTC).
  • task: a self-contained instruction — the routine has no memory of this chat

and no access to the user's files, so state everything it needs.

  • secrets: the exact secret env names the task requires (e.g.

["GITHUB_PAT"]), or omit for none.

Test it before scheduling

ALWAYS dry-run a routine before you create it:

routine(action="test", name=..., task=..., secrets=[...])

This runs the task ONCE right now under the routine's real isolation — its own

lhart- sandbox, headless (shell runs; non-shell approvals denied), only the declared secrets

and blocks until it finishes, returning {success, status, output, ...}. Read the

output: if the task didn't work (missing secret, needed an approval, wrong

assumption), fix task/secrets and test again. A test schedules nothing (no

schedule row, no chat session) — but it does provision the routine's real

lhart- sandbox, which the scheduled routine then reuses, so pass the same name

you'll create with. Then create.

Scheduling it

The tool asks the user to confirm before scheduling. On the first call it

returns status: "awaiting_user_response" — stop, let the user decide, and do

NOT claim the routine is scheduled until you get success: true with an id.

Use routine(action="list") to show scheduled routines and

routine(action="cancel", id=...) to remove one (the user can also type

/routines / /routines remove <id>).

How to use it

Copy the folder

Take google/routines from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.

Install what it needs

The instructions reference pip. Without those the skill loads but fails at the first command.