Routines builder

What This Skill Does

Designs, ships, optimizes, and audits recurring automations so the AIOS runs without being asked — the Cadence pillar of the Four Cs. It's part of the builder family (/skill-builder, /agent-builder, /agents-team-builder, /hooks-builder, /plugin-builder, /workflow-builder) — that family picks the mechanism; this one is the cadence/scheduling specialist: decision gate and Discovery Interview first, a mandatory supervised test before anything fires, files/schedules last.

The headline mechanism is Claude Code Routines — saved tasks that run on Anthropic's cloud on a schedule, even with your laptop closed, fully autonomous and acting AS you. That power is exactly why this skill never arms a schedule until a supervised "Run now" has passed. Full mechanics (triggers, environments, network modes, connectors, limits, what won't work) are in reference.md.

Use this whenever:

• Wiring a new recurring trigger (cloud routine, hook, loop, or ritual skill)
• Deciding which cadence mechanism fits a job
• Optimizing or auditing an existing routine
• Closing a Cadence gap surfaced by /aios-audit

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Quick Start: the four cadence mechanisms

Mechanism	Runs on	Needs machine on?	Needs open session?	Min interval	Best for
Cloud Routine (/schedule)	Anthropic cloud	No	No	1 hour	True autonomy — repo-centric work that lands as a reviewable claude/ branch + session
Hook (.claude/settings.json)	Your machine	Yes (at the event)	No	event-driven	React to an event (SessionStart, PreToolUse, file write)
/loop	Your machine	Yes	Yes	1 min	Polling / babysitting within an active session
Ritual skill (daily-*/weekly-*)	Your machine	Yes	Yes (you trigger)	manual	A consistent SOP you run by hand; /aios-audit counts it toward Cadence

Important reality: cloud routines can't reach local MCP, localhost, or your .env, and everything posts as you. They shine on work reachable through a GitHub repo or an API. Anything that needs local-only services or a tool with no API won't ride along until a cloud Connector or API exists.

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Mode 1: Build a Routine

Step 0 — The Decision Gate (FIRST)

Pick the right mechanism before scoping anything:

1. Is the work reachable from a GitHub repo or a plain API, and valuable run unattended? → Cloud Routine (/schedule). This is the default for real autonomy.
2. Does it need local files, localhost, or your local MCP servers? → a cloud routine can't do it. Use a hook, /loop, or a ritual skill locally.
3. Is it reacting to a local event (session start, a file changed)? → hook.
4. Is it polling something during a session you're already in? → /loop.
5. Is it really a manual SOP you just want to run consistently? → a ritual skill named weekly-*/daily-* (no true automation, but /aios-audit credits it).

State one sentence on the chosen mechanism and why. If cloud-routine is chosen, continue below. (For hook/loop/ritual, hand off to /hooks-builder for hooks, /loop, or /skill-builder for a ritual skill — and still do the discovery + test discipline.)

Step 1 — Discovery Interview (cloud routine)

Ask with AskUserQuestion, one round at a time, skipping what's already known.

Round 1: Job & cadence

• What exactly should the routine do, start to finish? (One job. If it's two, that's two routines.)
• How often? (cron preset or natural language; min 1 hour. Respect daily caps: Pro 5 / Max 15 / Team 25 / Enterprise 25 runs/day.)
• Also trigger on a GitHub event or API call? (e.g. "weekly AND on every new PR") Warning: a from-fork / public-PR trigger feeds untrusted input into a routine that runs and posts as you — that's the lethal trifecta (SECURITY.md). For any such trigger, exclude forks (use the from-fork PR filter), keep the routine on Trusted network, and make it draft-only. Loop discipline: references/agent-loops.md.

Round 2: Repo & scope

• Which repo does it clone? (Your own AIOS repo is a good default for self-running rituals.) Consider a lean dedicated repo if the target's CLAUDE.md would drag in irrelevant context.
• What files/dirs is it allowed to touch? What is off-limits?

Round 3: Environment & secrets

• Does it need external APIs or secrets? If yes → those go in cloud env vars at claude.ai (never .env — the fresh clone has none). The prompt must say "read KEY from the environment, don't look for a .env."
• Network mode: Trusted (GitHub + Anthropic + connectors only — the default, fine for repo-only work) or Full (needed for external APIs)?
• Setup script needed before each run? (npm install, pip install.)

Round 4: Output & failure path

• What does success look like, concretely? Success must be a boolean, a metric, or a named artifact (e.g. "push to a claude/audit-YYYY-WW branch, open a draft PR summarizing the score delta"). Reject any "run until satisfied / keep iterating" framing — a routine is single-pass, not iterate-until-done; that's a loop, see references/agent-loops.md.
• Where does output land? (claude/ branch, a connector post, a notes file committed back as a memory trail.)
• What should it do on failure? There are no automatic retries — bake a fallback into the prompt ("if X fails, log it and stop" / "notify me").

Round 5: Identity & safety

• It runs and posts as you. Confirm any comms/connector actions are OK to carry your name. Permanent rule (not a starter setting): anything that sends/posts/deletes/pays/deploys ships as branch or draft output OR behind a per-run human gate — never silent auto-action, no "until trust is established" graduation.

Round 6: Confirmation — summarize:

## Routine Summary: [name]
**Mechanism:** Cloud Routine (/schedule)
**Job (one sentence):** [what it does]
**Triggers:** [schedule + any GitHub/API]
**Repo:** [owner/repo]   **Touches:** [allowed] / **Off-limits:** [forbidden]
**Environment:** [env vars? network mode? setup script?]
**Output:** [claude/ branch / PR / connector / notes]
**On failure:** [fallback]
**Runs as:** you — [comms confirmed Y/N]

Proceed only on confirmation.

Step 2 — Write the routine prompt

The prompt IS the routine. Write it as a one-shot the agent can finish without you:

• Be specific; name files/dirs; state what success looks like.
• Set boundaries ("only modify X, don't touch Y").
• Include the output format ("push to claude/..., open a draft PR with a summary").
• Tell it where secrets live ("API key is an env var — use it directly, no .env").
• Say what to do on failure.
• Design the verification into the prompt: a functional boolean/metric self-check the run does first (did the artifact get produced? did tests pass?) → where judgment is needed, route the check to a different-lineage judge (not the model that did the work, to dodge same-blind-spot self-review) → land the result behind a human gate (draft PR / claude/ branch). A routine that can't state its own done-check shouldn't be armed. See references/agent-loops.md (the observe beat).
• Put stable rules in the repo's CLAUDE.md (read automatically on the fresh clone); keep run-specific instructions in the prompt. Don't duplicate.

Step 3 — Environment setup (manual, at claude.ai — flag clearly)

If the routine needs env vars, a network mode change, or a setup script, those are configured in the claude.ai web UI before creating the routine — the AIOS cannot set these programmatically. Hand the user the exact list of env-var names and network mode to set, and pause until confirmed. Repo-only routines (e.g. the self-audit) need none of this.

Step 4 — Create + the MANDATORY supervised test

Create the routine via the /schedule skill (the terminal path to Routines). For event-triggered routines (GitHub/API), create them with the triggers DISABLED so a real event can't fire before you've watched a supervised run. Then, before the schedule is armed:

1. "Run now" and watch one execution live.
2. Verify it read CLAUDE.md, stayed in scope, produced the agreed output on the claude/ branch / session.
3. Test the failure path, not just the happy path.
4. Confirm secrets resolved from env vars (if any) and the network mode was sufficient.

This test is a hard gate. Do not arm a recurring schedule until a supervised run passes. (This is the one place routines-builder never skips, even when asked to "just schedule it.")

Step 5 — Arm the schedule

Once the supervised run passes, set the recurring schedule via /schedule — and now enable any GitHub/API triggers you created disabled in Step 4. Confirm back to the user: cadence, repo, next fire time, daily-cap headroom, and how to review/pause it.

Step 6 — Document & register

Write the routine's definition to routines/<name>.md — the single source of truth, matching routines/README.md's schema: what it does, when it fires (cadence + any GitHub/API triggers), what it produces (output location), plus repo and the verification/human-gate from Step 2. Then add just a one-line cross-link to that file in CLAUDE.md's "Your routines / cadence" area — don't duplicate the body. The routines/<name>.md file is what lets /aios-audit credit the Cadence pillar.

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Mode 2: Optimize a Routine

• Burning the daily cap / tokens → widen the interval, narrow the prompt scope, or split into a leaner repo.
• Stops to ask questions → the prompt isn't one-shot; make it self-sufficient with explicit success criteria.
• Fails silently → add a failure fallback ("if X, log and notify me").
• .env errors → move secrets to cloud env vars; tell the prompt to read them directly.
• Blocked outbound calls → switch Trusted → Full (and weigh the exfiltration risk for untrusted inputs).
• Bloated context → trim the repo's CLAUDE.md or point at a dedicated lean repo.

Mode 3: Audit Cadence

• At least one real recurring trigger exists (routine / hook / loop / ritual skill)
• Each cloud routine has passed a supervised "Run now"
• Secrets are in cloud env vars, never committed .env
• Network mode is the minimum needed (Trusted unless an external API requires Full)
• Every routine prompt is one-shot with an explicit failure path
• Comms/connector actions that post as you were tested before being wired
• Routines push only to claude/-prefixed branches; bearer tokens not leaked
• Each routine has a routines/<name>.md definition (cross-linked from CLAUDE.md) so /aios-audit can see it

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Reference Recipe: Weekly Self-Audit

The canonical first routine (closes the Cadence gap):

• Repo: your own AIOS repo Cadence: weekly Network: Trusted (repo-only) Env vars: none
• Prompt (one-shot): "Run the /aios-audit skill on this repo. Then do decisions-log housekeeping: flag any decision older than 30 days with no follow-up. Write the audit report to audits/audit-<YYYY-MM-DD>.md. Push to a claude/weekly-audit-<YYYY-WW> branch and open a draft PR titled 'Weekly audit <date>' summarizing the score and the delta vs the previous audit. If /aios-audit can't run, log why in the PR body and stop. Do not modify any file outside audits/."
• Output: reviewable claude/ branch + draft PR each week. Nothing merges without you.

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Important Notes

• Decision gate is not optional — most "schedule this" asks for local work belong to a hook, /loop, or a ritual skill, not a cloud routine.
• The supervised "Run now" test is a hard gate before arming any schedule, even on "just schedule it."
• Everything runs as you. Branch/draft output (or a per-run human gate) is the permanent rule for any send/post/delete/pay/deploy; test before wiring any comms connector.
• Secrets → cloud env vars, never .env. Never commit .env to "solve" a missing-key error.
• Cloud routines can't reach local MCP, localhost, or local files — only what's in the repo or an API.
• For the full triggers / environments / network / connectors / limits reference, see reference.md.