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.
npx skills add https://github.com/google/adk-samples --skill 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.
lhart-<id>), never the user's — so itcannot see their workspace, other projects, or undeclared secrets.
secrets: — that list IS theblast-radius boundary. Declare the minimum the task needs (check the "Available
secret env vars" line for the names).
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.
the user's workspace.
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 chatand 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.
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.
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>).
Guide users through a structured workflow for co-authoring documentation. Use when user wants to write documentation, proposals, technical specs, decision docs, or similar structured content. This workflow helps users efficiently transfer context, refine content through iteration, and verify the doc works for readers. Trigger when user mentions writing docs, creating proposals, drafting specs, or similar documentation tasks.
Intelligently organizes your files and folders across your computer by understanding context, finding duplicates, suggesting better structures, and automating cleanup tasks. Reduces cognitive load and keeps your digital workspace tidy without manual effort.
Generates creative domain name ideas for your project and checks availability across multiple TLDs (.com, .io, .dev, .ai, etc.). Saves hours of brainstorming and manual checking.
You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.
Implements Manus-style file-based planning for complex tasks. Creates task_plan.md, findings.md, and progress.md. Use when starting complex multi-step tasks, research projects, or any task requiring >5 tool calls.
Creative research ideation and exploration. Use for open-ended brainstorming sessions, exploring interdisciplinary connections, challenging assumptions, or identifying research gaps. Best for early-stage research planning when you do not have specific observations yet. For formulating testable hypotheses from data use hypothesis-generation.
Comprehensive GitHub project management with swarm-coordinated issue tracking, project board automation, and sprint planning
Interview the user relentlessly about a plan or design until reaching shared understanding, resolving each branch of the decision tree. Use when user wants to stress-test a plan, get grilled on their design, or mentions "grill me".
Take google/routines from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
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.
The instructions reference pip.
Without those the skill loads but fails at the first command.