القائمة
Use this skill to create Cursor Automations.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
| name | automate |
| description | Use this skill to create Cursor Automations. |
| environments | ["local"] |
Use this skill when the user explicitly wants to make, build, set up, or create a new Cursor Automation — for example "create a Cursor automation", "open the Automations editor with this draft", or "set up a scheduled Cursor agent".
Disambiguation. "Automation" in a user workspace can mean many things (.github/workflows, CI pipelines, scheduled jobs, scripts, dbt, browser automation, shell scripts, workflow engines). Do not assume generic phrases like "automate this", "help me automate my deploys", or "make an automation" mean Cursor Automation. Route to the named surface when the user mentions one, use normal repo/product exploration when the context points elsewhere, or ask a short clarifying question when the target surface is ambiguous. Start this spine only when the user explicitly asks for Cursor Automations or confirms that Cursor Automations is the intended surface.
gh repo view on cwd; Slack MCP channels; PagerDuty MCP services; Linear/Sentry MCP teams/projects. Use the results to skip questions later.AskQuestion for (a) the tools multi-select and (b) integration discovery candidate lists with 3+ matches.@file mention) in any draft field — prompt, instructions, name, or description — when both are true: (1) the automation will run in that same repo (its git trigger scope or workflow.gitConfig.repo is the chat's repo) and (2) the file is committed to that repo (tracked by git on the branch the automation will check out, not just present in the working tree). If either condition fails, paraphrase the intent instead, or ask the user to commit and push the file first — do not embed the path or content. Untracked / staged-only / dirty-only files, files outside the automation's repo, and files in a different repo from the chat's checkout never qualify.Use these checks to keep the draft complete before opening the editor. Do not show the ids to the user.
| Id | Scope |
|---|---|
| PCD:slack-trigger | slackTrigger channel selection. Ask whether to specify channel(s) now or pick them in the Automations UI; discovery or explicit UI deferral must happen before the draft table. |
| PCD:slack-actions | slack / readSlack actions. Ask for the destination or explicit editor deferral before the draft table. |
| PCD:git-scope | git PR / push / CI triggers. Repo/org/branch scope must be resolved or explicitly deferred to the editor. |
| PCD:universal | Every intentional gap appears in the draft table's "To finish in editor" row and is repeated in the final handoff note. |
| Scope | Before opening editor unless deferred |
|---|---|
| PCD:slack-trigger | Slack channel ids are resolved, or user chose to pick channels in the Automations UI. Empty channels are valid only for explicit UI deferral. |
| PCD:slack-actions | slack.channel / readSlack scope is resolved, or user chose Select channels in the editor. IDs must be C… / G… / D…, never U…. |
| PCD:git-scope | PR triggers have repos/orgs; push triggers have repo + branch; CI triggers have repo scope. Use scoped repo discovery only after the user identifies the target. |
mcp is enabled, the server must pass the MCP existence gate and MCP auth gate below. Prefer discovering and selecting the exact catalog server name yourself; ask the user only when multiple usable catalog matches fit the request or the requested integration is ambiguous. Do not call it a Cursor plugin. Do not invent server names.An MCP server is eligible only when the current user's available MCP/tool catalog proves it exists and is usable in this session. Before using an MCP for integration discovery or adding an mcp action to the draft, inspect the actual catalog exposed to the agent session and pick the right value to put into mcp.server.name.
Read the right field from the catalog. Each agent-side catalog entry lives at ~/.cursor/mcps/<folder>/SERVER_METADATA.json and carries two distinct values:
serverIdentifier — the scoped folder name the agent runtime uses (e.g. dashboard-team-1-Linear, plugin-pagerduty-pagerduty-mcp, cursor-app-control).serverName — the plain name the user configured on cursor.com (e.g. Linear, pagerduty-mcp, Databricks SQL).Write serverName into workflow.actions[].mcp.server.name and any @[MCP: ...] prompt mentions. Never write serverIdentifier / the folder name, never invent or paraphrase a prefix (team-…, user-…, <orgId>-…), and never hand-strip prefixes from the folder name — many serverNames contain spaces (e.g. Databricks SQL, statsig read only console), so string-munging the identifier is fragile. The Automations editor matches on trim + lowercase, so casing does not matter, but pass the exact serverName from SERVER_METADATA.json anyway. When you have a useful URL, you may also pass templateMcpHints: [{ name: <serverName>, url: <serverUrl> }] so a URL match can rescue a name drift.
Eligibility — dashboard-backed servers only. Only dashboard-backed servers appear in the Automations editor's GetAvailableMcpServers response, which is what the editor uses to resolve a prefilled mcp action to a connected server. Their serverIdentifier always begins with one of these prefixes:
dashboard-team-<teamId>- (team-shared servers)dashboard- (personal user-configured servers on cursor.com)plugin-<slug>- (marketplace plugin servers)Everything else in the agent catalog — cursor-ide-browser, cursor-app-control, extension-…, project mcp.json servers, and other local servers — does NOT appear in the dashboard catalog. Treat those as ineligible for the mcp action: do not add them to workflow.actions, do not reference them in @[MCP: ...] prompt mentions, and do not assume they will resolve when the editor opens. Prefilling an ineligible server lands the row in the blocked "Set up MCP" state and prevents the user from saving.
If one usable, dashboard-eligible catalog server clearly matches the user's requested integration, use it without asking the user to spell the server name. A name from the user prompt, a screenshot, a skill file, a workflow template, marketplace docs, or company convention is not proof.
If the catalog does not contain a usable, dashboard-eligible server, do not call that MCP, do not add an mcp action for it, and do not include @[MCP: ...] prompt mentions. Servers that are missing, disabled, or still need setup count as unavailable for prefill. Ask the user to set it up first, or leave the MCP out of the draft and record "Set up/select in the Automations editor" in To finish in editor. Unknown MCP server names are not valid deferred tool rows because prefilled missing MCPs block save.
Why this exists. The Automations editor can prompt for MCP OAuth, but that flow navigates away from the draft and the user loses in-progress changes. Authenticate MCPs here in chat before you add an mcp action, show the draft table, or open the editor.
When it applies. Run this gate whenever you plan to add an mcp action or @[MCP: ...] prompt mention for a dashboard-eligible server — including after integration discovery for picker-backed values.
Detect unauthenticated servers from the current session catalog (do not guess). STATUS.md is written for both auth and generic error states, so its mere existence is not an auth signal — read the file and check its content:
~/.cursor/mcps/<folder>/STATUS.md exists and its content says the server needs authentication (e.g. "needs authentication" / instructs calling mcp_auth). A STATUS.md that only reports a generic error is not an auth signal.GetMcpTools (or equivalent catalog inspection) reports serverStatus: "needsAuth" for that server's serverIdentifier.mcp_auth (no other usable tools yet).A server that passes the existence gate but matches any auth signal above is not authenticated — treat it separately from "missing", "not set up", or generic error.
Hard stop until authed. If the target MCP is not authenticated:
mcp action, do not include @[MCP: ...] mentions, do not show the draft table, and do not open the Automations editor.serverName, never internal ids). Explain that connecting it now keeps their draft safe; deferring auth to the Automations editor can discard unsaved work.mcp_auth (via GetMcpTools, the server's tool list, or STATUS.md), ask whether you should start the connection flow now. When they agree, authenticate one server at a time by calling mcp_auth for that server's serverIdentifier (empty args through the MCP tool interface, or the session's McpAuth tool with server_identifier when that is what is listed). Wait for success, re-check auth, then resume drafting.mcp_auth tool in this session), direct them to connect the integration in Cursor Settings → MCP, then return here and confirm when ready. Do not open the editor while the MCP is still unauthenticated.Never defer MCP OAuth to the Automations editor. Do not put "Authenticate/connect in the Automations editor" in To finish in editor for an MCP you intend to prefill. Unauthenticated prefilled MCP rows block save and the editor auth redirect loses draft state.
After auth succeeds, re-run the auth gate, then continue integration discovery and drafting. Only include the mcp tool in the draft once the server is authenticated and usable.
Finish availability (check once per run; this is the agent-internal decision — never quote tool names back to the user). Do not mention this check to the user. Do not say anything like "I'll first check whether the Automations editor handoff is available in this session." Do not inspect Cursor backend automation tools. Do not inspect Cursor backend automation tool descriptors to recover an old finish path.
| Bucket | Signal | Default finish |
|---|---|---|
| Automations editor | cursor-app-control.open_automation listed | Open the Automations editor with the reviewed draft |
| Agents Window required | Neither cursor-app-control.open_automation nor cursor-app-control.open_resource listed | Stop immediately — say "Please use this skill in the Agents Window." |
The Automations editor path uses open_automation directly with the reviewed draft. Do not inspect or call backend automation finish tools, build or paste a browser prefill URL, call open_resource, or build a cursor:// deeplink.
If neither cursor-app-control.open_automation nor cursor-app-control.open_resource is available, do not continue the automation-drafting flow, do not generate a browser prefill URL, and do not ask follow-up questions. Immediately tell the user: "Please use this skill in the Agents Window."
Run this stage only after the finish availability check passes. If the user's prompt is thin, send one short plain-chat message and wait:
"Before we dive in, what do you want this automation to do? What kicks it off, what should happen, and what's the outcome? A sentence or two is plenty. Let me know if you want some examples of what you can build."
Skip when the prompt already covers trigger + action + outcome, or the user said something similar to "walk me through it". The answer is freeform — never wrap this question in AskQuestion. Don't run repo discovery before Stage 1 fires or is deliberately skipped.
Existing automation edits are not supported in this flow. Do not list, get, inspect, update, or search existing automations through backend automation tools. Do not search by automation name or description. If the user wants to change an existing automation, ask them to edit it directly in the Automations UI or create a new replacement automation. Do not claim changes were saved from chat.
Work in Automations UI order: trigger → tools → prompt → name/description → draft table. Fill gaps from prior messages. Do not jump straight to YAML unless the user's prompt already covers the needed fields and PCD gates are satisfied or explicitly deferred.
Use the Appendix — Trigger selection tables to pick the trigger and follow-ups. Resolve picker-backed values via integration discovery before asking; ask only for fields not already answered. A cron trigger without a resolved schedule is invalid for direct save; webhook triggers always come back to the editor after save for URL / auth.
Cron stores a single expression, not a separate timezone field. If the user gives a schedule that maps cleanly to cron fields (for example "every weekday at 3am", "daily at 9am", or "Mondays at 9am"), include the cron trigger in the editor prefill. Treat "my timezone" or "local time" as the user's desired display-time intent when the hour/day pattern itself is expressible as cron. Do not put a schedule only in the prompt while leaving workflow.triggers empty.
For user-stated local times that cannot be encoded exactly as the Automations editor will display, do not pass a raw cron plus a timezone hint. Ask one more schedule question before opening the editor; do not open a scheduled automation with no trigger. Do not prefill cron: {}. It is invalid.
Valid cron examples:
# Every hour
cron: { cron: "0 * * * *" }
# Every day at 9:00
cron: { cron: "0 9 * * *" }
# Every Monday at 9:00
cron: { cron: "0 9 * * 1" }
# Weekdays at 9:00
cron: { cron: "0 9 * * 1-5" }
Ask with structured multi-select when the tools are not obvious:
| Label | YAML |
|---|---|
| Comment on PRs | prComment |
| Post to Slack | slack |
| Read Slack | readSlack |
| Request reviewers | requestReviewers |
| Manage check runs | manageCheckRun |
| Use MCP server | mcp |
When slack / readSlack is enabled, resolve the channel via Slack MCP discovery before drafting or document UI deferral. When mcp is enabled, run the MCP existence gate and MCP auth gate first; only exact, authenticated, usable catalog matches may be added to workflow.actions, and mcp.server.name MUST be the serverName value from the matched entry's SERVER_METADATA.json — never the folder / serverIdentifier. If a requested MCP is missing or not set up, do not prefill it — ask the user to set it up or defer setup/selection to the editor. If it exists but is not authenticated, stop per the MCP auth gate — do not prefill it and do not defer OAuth to the editor.
Ask "What should the agent do when [trigger]?" Default one tight paragraph; match the user's length if they gave more. Cloud compute is configured in the Cloud Agent dashboard. Suggest a name + 1–2 sentence description from prior answers.
If confidence is high and required fields are present, you may skip straight to the draft table. Do not use fast-path to skip Slack channel choices, Git repo/branch scope, mcp.server.name, an unresolved schedule, or the MCP auth gate — fast-path never bypasses the Hard stop until authed rule, and the draft table cannot appear while a prefilled MCP is still unauthenticated. When uncertain, ask one focused question rather than replaying the full questionnaire.
Recap the draft as a compact Markdown table in plain language. Don't write a planning document, checklist, or "steps I'll take":
| Draft field | What will open in the editor |
|---|---|
| Name / description | Short plain-language value |
| Trigger | What starts the automation |
| Tools | Enabled capabilities |
| Instructions | The prompt behavior, summarized |
| Resolved settings | Repo / branch, Slack channel, service / project, schedule, and other picker-backed values |
| To finish in editor | Settings deferred to the Automations UI; write "None" if nothing is deferred |
End with "Does this look correct?" Do not append a YAML or JSON block. After approval, run the internal Validation check, then send the finish handoff confirmation. A plain "yes" to the draft approves the draft, but it does not replace the final readiness confirmation.
When cursor-app-control.open_automation is available, there is exactly one finish path:
Do not offer save, browser, paste-link, skip, or fallback choices.
Before opening the editor or otherwise moving the user away from chat, send one short final handoff note with every deferred field and caveat the user needs after the handoff. Include all "To finish in editor" rows, integration setup notes, webhook/auth follow-ups, Slack DM/channel picker confirmations, Cloud compute notes, and any schedule that was intentionally left for the editor picker. End with a direct readiness question, such as "Are you ready for me to open it for you?" When the user says yes, use the selected finish path. Do not put these reminders after the open step; the user may not see chat once they leave.
cursor-app-control.open_automation with the reviewed WorkflowData JSON as prefillWorkflowData. Do not call backend automation tools, open_resource, a browser URL builder, or a cursor:// URL for this bucket. If open_automation fails, explain the failure in plain language and stop.cursor-app-control.open_automation nor cursor-app-control.open_resource is available, say "Please use this skill in the Agents Window." Do not draft, submit, paste a browser prefill URL, or switch paths automatically.Before asking the user for a picker-backed value (repo, Slack channel / DM, GitHub/GitLab PR / comment scope, PagerDuty service, Linear team, Sentry project, …), proactively check whether the associated integration MCP or CLI is available and authenticated, then fetch the relevant records. For MCP-backed integrations, the availability check must be the current user's actual MCP/tool catalog, not a remembered or guessed server name. Use the result to inform the next question: 1 match → inline confirm; 2 → inline either/or; 3+ → AskQuestion single-select. Only ask freeform after scoped integration discovery is exhausted or the user picks deferral to the automations editor.
Auth boundary. Call integration list / search / read tools, gh, or glab when connected and authenticated. Do not use this path to list, get, inspect, create, update, finish, or prefill Cursor Automations.
mcp automation action follow the MCP auth gate above — stop, explain, and authenticate in chat before prefilling. Inline mcp_auth is supported in the Agents Window when listed for that server.gh / glab, etc.): if missing or unavailable, ask whether the user wants to set it up before continuing. If they say yes, guide setup and retry discovery after they confirm it is ready. If they say no, continue with the draft and say the user will need to finish that integration setup in the Automations editor afterwards. For these non-MCP-action integrations only, do not call mcp_auth without an explicit Retry after setup confirmation.Accept natural repo nicknames; do not ask for owner/repo format first, and do not ask the user to list repos before trying scoped CLI discovery. Order:
owner/repo, said "this repo", or the current checkout is the obvious target, use gh repo view owner/repo --json defaultBranchRef,nameWithOwner or gh repo view --json defaultBranchRef,nameWithOwner to fetch repo + default branch. For GitLab, use the equivalent glab repo view / project view command when available. Run auth status only if the exact lookup fails due to auth.owner/repo candidates with lookup, or run scoped discovery only when a shared owner/org/namespace, current checkout, or product context narrows the search. If no scoped lookup is available, use AskQuestion over the user-named repos plus Pick in Automations UI before any CLI lookup.gh search repos "<nickname> in:name" --json fullName,description --limit 10, scoped gh repo list <owner-or-org> --json nameWithOwner,description --limit 20, or the equivalent scoped glab repo list / project search. Do this even when the next step is asking the user to pick one.AskQuestion over the returned or named repos plus Pick in Automations UI. When repo choice is ambiguous after search/list discovery, use AskQuestion over partial matches + UI deferral instead of a freeform repo question.gh / glab is missing, unauthenticated, unavailable, or the scoped lookup/search/list fails, then ask the user what repo and branch to use or whether to pick them in the Automations UI. Do not block on CLI setup unless the user chooses Retry after setup.Guardrails: do not run broad private repo inventory or unscoped account/org sweeps. Keep gh repo list / glab repo list scoped to an owner/org/namespace or similarly narrow context. Do not use raw git remote output as the only source of truth.
Slack MCP discovery before channel question, every time slackTrigger / slack / readSlack is involved. Specify now means the agent runs discovery first — not "ask the user for IDs". 1 channel → inline confirm; 2 → inline either/or; 3+ → AskQuestion over returned channels (+ Pick in Automations UI). Do not prefill with empty channels after Specify now without discovery or continue-without. If discovery is blocked → Retry after setup / Continue without MCP / Pick in Automations UI inline.
Slack channel accepts C… / G… / D… IDs only — never U… member IDs. For Slack replies, offer respond in the triggering thread separately from send to a specific channel or DM. Empty {} actions are valid when the user picks Select channels in the editor; record the deferral in the draft table.
PagerDuty MCP list services before serviceIds scope: 1/2 inline; 3+ → AskQuestion over services. Optional serviceIds — otherwise defer to UI. Linear teams / projects and Sentry projects follow the same pattern: discover when MCP is connected; otherwise defer to the editor.
Wire format matches the reviewed Automations draft passed to open_automation as prefillWorkflowData — canonical proto JSON with full enum names (e.g. GIT_PULL_REQUEST_ACTION_OPENED). PR scope lives on git.pullRequest (repos / orgs); workflow.gitConfig holds repo + branch for non-git triggers that need a checkout. Use ignoreDraftPrs, not ignoreDraftPr. Slack channel / DM IDs: C… / G… / D….
Skeleton:
name: "My automation"
description: "Optional description"
workflow:
triggers: []
actions: []
prompts: []
model: ""
agentOptions:
skipInstall: false
memoryEnabled: true
Prompts use | block scalar (>- folding breaks bullets). Empty {} actions are valid when the field is UI-only. mcp.server.name is required when mcp is enabled, and the name must be the serverName field from the matched entry's SERVER_METADATA.json — not the folder / serverIdentifier. See the MCP existence gate for the eligibility filter and the no-prefix-invention rule.
Trigger oneof keys are exhaustive. Every entry in workflow.triggers must use exactly one of these top-level proto keys: cron, git, slackTrigger, slackReactionAdded, slackChannelCreated, microsoftTeamsTrigger, microsoftTeamsChannelCreated, linear, webhook, pagerduty, sentry. Never invent or paraphrase (slackReaction, slack_reaction, slack, reactionAdded, etc.) — the editor decodes triggers with ignoreUnknownFields: true, silently drops unknown keys, and renders the result as an unconfigurable "Configure trigger" card that blocks save. Empty {} trigger entries hit the same failure mode; never prefill a trigger you cannot fully name.
After draft table approval: validate YAML vs checklist + proto (PR enums, ignoreDraftPrs, Slack ID prefixes, gitConfig presence when needed, mcp.server.name when mcp is enabled, MCP actions backed by authenticated usable catalog matches, and description text free of __securitybot_metadata__ / customInstruction metadata markers). Do not invent inline JSON-schema validators or shell snippets for automation YAML — they drift from proto shape and can falsely fail valid drafts. If validation fails, explain the issue in plain language and ask what to change; do not paste the full YAML unless the user explicitly asked. Do not use backend automation tools and do not shell out to repo-local scripts — use open_automation for Automations editor handoff only.
These labels are agent-only — never show ids to users. If a future structured picker is used, split rows before any option cap.
Prompt: "When should this automation run?"
| Option label | Option id | Proto / YAML |
|---|---|---|
| On a schedule | cron | cron |
| On a GitHub / GitLab event | git | git → specific event |
| On a Slack event | slack | specific event: slackTrigger vs slackChannelCreated |
| On a Linear event | linear | linear → specific event |
| On a PagerDuty incident event | pagerduty | pagerduty → specific event |
| On a Sentry issue event | sentry | sentry → specific event |
| On an incoming HTTP webhook | webhook | webhook |
cron — Prompt: "Which schedule shape?"
| Option label | Option id | Notes |
|---|---|---|
| Every hour | cron_every_hour | UI preset |
| Every day | cron_every_day | preset |
| Every week | cron_every_week | preset |
| Custom cron expression | cron_custom | user supplies full cron |
git — Prompt: "Which Git event?"
| Option label | Option id | Maps to |
|---|---|---|
| Draft pull request opened | git_draft_opened | DRAFT_OPENED |
| Pull request opened | git_pr_opened | OPENED |
| Code pushed to a pull request | git_pr_pushed | PUSHED |
| Pull request merged | git_pr_merged | MERGED |
| Comment added on pull request | git_pr_commented | COMMENTED |
| Label change | git_label | label trigger |
| New push to branch | git_push | push |
| Checks completed | git_ci | ciCompleted |
slack — Prompt: "Which Slack trigger?"
| Option label | Option id | YAML |
|---|---|---|
| New message in channel | slack_message | slackTrigger |
| Reaction added to message | slack_reaction_added | slackReactionAdded |
| Channel created | slack_channel_created | slackChannelCreated |
slackReactionAdded payload — { channels: ["C…"], emojiName: "<name>" }. emojiName is the Slack short name without surrounding colons (e.g. thumbsup, not :thumbsup:); the server normalizes Unicode emoji to the matching alias on save. Completion reactions are not supported on slackReactionAdded triggers (would recurse) and are silently dropped.
Completion reaction on a Slack message trigger. "React with :foo: when the agent finishes" is a completion-reaction option on slackTrigger, not a separate trigger. Put slackCompletionReactionMode: SLACK_COMPLETION_REACTION_MODE_CUSTOM and slackCompletionReactionCustomEmoji: ":foo:" (with surrounding colons) on the same slackTrigger entry. Do not create a slackReactionAdded trigger to express completion behavior.
Disambiguate "react with …". When the user says "react with X to trigger" the trigger is slackReactionAdded (emojiName: "x", no colons). When the user says "react with X when done" / "upon completion" / "after success" the trigger is slackTrigger with the completion-reaction fields above. Ask one focused question when intent is ambiguous instead of guessing.
linear — Prompt: "Which Linear event?"
| Option label | Option id | Proto JSON |
|---|---|---|
| Issue created | linear_created | linear.issueCreated |
| Issue status changed | linear_status | linear.statusChanged |
| End of cycle | linear_cycle | linear.endOfCycle |
pagerduty — Prompt: "Which PagerDuty incident event?"
| Option label | Option id | Proto JSON |
|---|---|---|
| Incident triggered | pagerduty_triggered | incidentTriggered: {} |
| Incident acknowledged | pagerduty_ack | incidentAcknowledged: {} |
| Incident resolved | pagerduty_resolved | incidentResolved: {} |
| Any incident event | pagerduty_any | incidentAny: {} |
Optional serviceIds. Proto may include incidentEscalated — only if user asks.
sentry — Prompt: "Which Sentry issue event?"
| Option label | Option id | Proto JSON |
|---|---|---|
| Issue created | sentry_created | issueCreated: {} |
| Issue resolved | sentry_resolved | issueResolved: {} |
| Issue assigned | sentry_assigned | issueAssigned: {} |
| Issue archived | sentry_archived | issueArchived: {} |
| Issue unresolved | sentry_unresolved | issueUnresolved: {} |
| Any issue event | sentry_any | issueAny: {} |
Optional projectIds.
webhook — skip specific-event; webhook: {}; user gets URL/auth after save.
A Cursor Canvas is a live React app that the user can open beside the chat. You MUST use a canvas when the agent produces a standalone analytical artifact — quantitative analyses, billing investigations, security audits, architecture reviews, data-heavy content, timelines, charts, tables, interactive explorations, repeatable tools, or any response that benefits from visual layout. Especially prefer a canvas when presenting results from MCP tools (Datadog, Databricks, Linear, Sentry, Slack, etc.) where the data is the deliverable — render it in a rich canvas rather than dumping it into a markdown table or code block. If you catch yourself about to write a markdown table, stop and use a canvas instead. You MUST also read this skill whenever you create, edit, or debug any .canvas.tsx file.
Run a prompt or skill in this session on a recurring or variable interval (e.g. /loop 5m /foo).
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