Schedule
TinyAGI/tinyagi
Create, list, and delete scheduled tasks (recurring or one-time) that send messages to agents.
Create, update, list, or run scheduled cloud agents (routines) that execute on a cron schedule.
$ npx skills add asgeirtj/system_prompts_leaks --skill schedule -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install asgeirtj/system_prompts_leaks schedule --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/asgeirtj/system_prompts_leaks.git skills-src && mkdir -p .claude/skills && cp -r skills-src/Anthropic/claude-code/skills/schedule .claude/skills/schedule && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "schedule" agent skill from https://github.com/asgeirtj/system_prompts_leaks/tree/main/Anthropic/claude-code/skills/schedule into .claude/skills/schedule/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "schedule", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/asgeirtj/system_prompts_leaks/tree/main/Anthropic/claude-code/skills/scheduleType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add asgeirtj/system_prompts_leaks --skill schedule -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install asgeirtj/system_prompts_leaks schedule --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/asgeirtj/system_prompts_leaks.git skills-src && mkdir -p .agents/skills && cp -r skills-src/Anthropic/claude-code/skills/schedule .agents/skills/schedule && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "schedule" agent skill from https://github.com/asgeirtj/system_prompts_leaks/tree/main/Anthropic/claude-code/skills/schedule into .agents/skills/schedule/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "schedule", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add asgeirtj/system_prompts_leaks --skill schedule -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install asgeirtj/system_prompts_leaks schedule --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/asgeirtj/system_prompts_leaks.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/Anthropic/claude-code/skills/schedule .cursor/skills/schedule && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "schedule" agent skill from https://github.com/asgeirtj/system_prompts_leaks/tree/main/Anthropic/claude-code/skills/schedule into .cursor/skills/schedule/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "schedule", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/asgeirtj/system_prompts_leaks.git --path Anthropic/claude-code/skills/schedule--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add asgeirtj/system_prompts_leaks --skill schedule -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install asgeirtj/system_prompts_leaks schedule --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/asgeirtj/system_prompts_leaks.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/Anthropic/claude-code/skills/schedule .gemini/skills/schedule && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "schedule" agent skill from https://github.com/asgeirtj/system_prompts_leaks/tree/main/Anthropic/claude-code/skills/schedule into .gemini/skills/schedule/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "schedule", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install asgeirtj/system_prompts_leaks scheduleInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add asgeirtj/system_prompts_leaks --skill schedule -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/asgeirtj/system_prompts_leaks.git skills-src && mkdir -p .github/skills && cp -r skills-src/Anthropic/claude-code/skills/schedule .github/skills/schedule && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "schedule" agent skill from https://github.com/asgeirtj/system_prompts_leaks/tree/main/Anthropic/claude-code/skills/schedule into .github/skills/schedule/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "schedule", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add asgeirtj/system_prompts_leaks --skill schedule -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install asgeirtj/system_prompts_leaks schedule --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/asgeirtj/system_prompts_leaks.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/Anthropic/claude-code/skills/schedule .opencode/skills/schedule && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "schedule" agent skill from https://github.com/asgeirtj/system_prompts_leaks/tree/main/Anthropic/claude-code/skills/schedule into .opencode/skills/schedule/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "schedule", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
scheduleCreate, update, list, or run scheduled cloud agents (routines) that execute on a cron schedule.
Schedule is an agent skill from asgeirtj/system_prompts_leaks. Create, update, list, or run scheduled cloud agents (routines) that execute on a cron schedule.
Its SKILL.md is about 2.9k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Productivity & Automation, covering Scheduled and recurring tasks. The repository describes itself as: Documented system prompts from Anthropic - Claude Fable 5.1, Opus 5.5, Claude Design, Claude Code. OpenAI - ChatGPT GPT-6-Astra, Codex. Google - Gemini 3.8 Flash, 3.1 Pro… The licence is CC0-1.0.
7 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 60d44cc. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
No scripts in the folder and no shell commands in SKILL.md (its code samples are json).
From the folder's file list and the shell code blocks in SKILL.md.
Hosts in commands or code, which the agent is likely to contact:
claude.aigithub.comAlso links to:
api.anthropic.comcalendarmcp.googleapis.comdrivemcp.googleapis.comecon-index.mcp.claude.comgmailmcp.googleapis.comFrom URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Schedule loads about 2.9k tokens when it runs. Until then it costs about 26 tokens; SKILL.md has 1,441 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from asgeirtj/system_prompts_leaks at commit 60d44cc, republished under its CC0-1.0 licence (© asgeirtj). 1,441 words, ~2,911 tokens.
.claude/skills/schedule/SKILL.md (or your agent's skills folder).You are helping the user schedule, update, list, or run cloud Claude Code agents. These are NOT local cron jobs — each routine spawns a fully isolated cloud session (CCR) in Anthropic's cloud infrastructure, either on a recurring cron schedule or once at a specific time. The agent runs in a sandboxed environment with its own git checkout, tools, and optional MCP connections.
Your FIRST action must be a single AskUserQuestion tool call (no preamble). Use this EXACT string for the question field — do not paraphrase or shorten it:
"What would you like to do with scheduled cloud agents?"
Set header: "Action" and offer the four actions (create/list/update/run) as options. After the user picks, follow the matching workflow below.
Use the RemoteTrigger tool (load it first with ToolSearch select:RemoteTrigger; auth is handled in-process — do not use curl):
{action: "list"} — list all routines{action: "get", trigger_id: "..."} — fetch one routine{action: "create", body: {...}} — create a routine{action: "update", trigger_id: "...", body: {...}} — partial update{action: "run", trigger_id: "..."} — run a routine now{action: "list_runs", trigger_id: "..."} — the routine's recent run sessions, most recently active first{action: "get_run_log", session_id: "..."} — condensed log of one run (provisioning, tool calls and errors, permission denials, API retries, final result)To debug a routine that misbehaved, call list_runs and then get_run_log on the run in question. A fire that was skipped or refused before a session existed (routine paused, a fire cap, a kill switch) or that failed its pre-creation checks (repository access, environment) leaves no run in list_runs, and a routine that posts into an existing session adds to that session rather than a new run; when the list is empty or short, check the routine itself with get rather than concluding it never fired.
(Note: the API uses trigger_id as the parameter name, but the user-facing term is "routine".)
You CANNOT delete routines. If the user asks to delete, direct them to: https://claude.ai/code/routines
For a recurring schedule:
{
"name": "AGENT_NAME",
"cron_expression": "CRON_EXPR",
"enabled": true,
"job_config": {
"ccr": {
"environment_id": "ENVIRONMENT_ID",
"session_context": {
"model": "claude-sonnet-5-5",
"sources": [
{"git_repository": {"url": "https://github.com/acme-corp/acme-app"}}
],
"allowed_tools": ["Bash", "Read", "Write", "Edit", "Glob", "Grep"]
},
"events": [
{"data": {
"uuid": "<lowercase v4 uuid>",
"session_id": "",
"type": "user",
"parent_tool_use_id": null,
"message": {"content": "PROMPT_HERE", "role": "user"}
}}
]
}
}
}For a one-time run, replace "cron_expression": "CRON_EXPR" with "run_once_at": "YYYY-MM-DDTHH:MM:SSZ" (RFC3339 UTC, must be in the future). Everything else is identical.
Generate a fresh lowercase UUID for events[].data.uuid yourself.
Every events[].data.message must be the API message shape {"role": "user", "content": "..."} — the role field is required, never omit it. If you instead write the body in the session_request form that list and get return, the same rule applies to session_request.events[].payload.message.
These are the user's currently connected claude.ai MCP connectors:
Available connectors (usable by routines):
When attaching connectors to a routine, use the connector_uuid and name shown above (the name is already sanitized to only contain letters, numbers, hyphens, and underscores), and the connector's URL. The name field in mcp_connections must only contain [a-zA-Z0-9_-] — dots and spaces are NOT allowed.
Important: Infer what services the agent needs from the user's description. For example, if they say "check Datadog and Slack me errors," the agent needs both Datadog and Slack connectors. Cross-reference against the list above and warn if any required service isn't connected. If a needed connector is missing, direct the user to https://claude.ai/customize/connectors to connect it first.
Every routine requires an environment_id in the job config. This determines where the cloud agent runs. Ask the user which environment to use.
Available environments:
Use the id value as the environment_id in job_config.ccr.environment_id.
name (string) — A descriptive namecron_expression (string) — 5-field cron in UTC. Minimum interval is 1 hour.run_once_at (string) — RFC3339 UTC timestamp. Must be in the future. Fires once, then auto-disables.job_config (object) — Session configuration (see structure above)enabled (boolean, default: true)mcp_connections (array) — MCP servers to attach: [{"connector_uuid": "uuid", "name": "server-name", "url": "https://..."}]All fields optional (partial update):
name, cron_expression, run_once_at, enabled, job_configmcp_connections — Replace MCP connectionsclear_mcp_connections (boolean) — Remove all MCP connectionsThe user's local timezone is Atlantic/Reykjavik. Cron expressions and run_once_at timestamps are always in UTC. When the user says a local time, convert it to UTC but confirm with them: "9am Atlantic/Reykjavik = Xam UTC, so the cron would be 0 X * * 1-5." For one-time runs, the same conversion applies — "run this at 3pm" → "run_once_at": "YYYY-MM-DDTHH:00:00Z" with their 3pm converted to UTC.
0 9 * * 1-5 — Every weekday at 9am UTC0 */2 * * * — Every 2 hours0 0 * * * — Daily at midnight UTC30 14 * * 1 — Every Monday at 2:30pm UTC0 8 1 * * — First of every month at 8am UTCMinimum interval is 1 hour. */30 * * * * will be rejected.
When /schedule was invoked it was Thu, Oct 8, 2026 at 06:52 AM (Atlantic/Reykjavik) / 2026-10-08T06:52:46.000Z UTC. Treat this as an approximate anchor only — the conversation may have been running for a while since then.
Before computing any run_once_at value, you MUST re-check the current time by running date -u +%Y-%m-%dT%H:%M:%SZ via the Bash tool. Do not guess or infer today's date from conversation context. Resolve relative requests ("tomorrow at 9am", "in 3 hours", "next Monday") against the freshly fetched time, then echo the resolved local time AND the UTC timestamp back to the user for confirmation before creating the routine. If the resolved time is already in the past, ask the user to clarify rather than silently rolling forward.
run_once_at instead of cron_expression — same timezone conversion applies. First re-check the current time with date -u via Bash (the reference time above may be stale in a long conversation), resolve the relative phrase against that fresh value, and confirm the resulting absolute timestamp with the user.claude-sonnet-5-5. Tell the user which model you're defaulting to and ask if they want a different one.https://github.com/acme-corp/acme-app. Ask the user if this is the right repo or if they need a different one.RemoteTrigger with action: "create" and show the result. The response includes the routine ID. Always output a link at the end: https://claude.ai/code/routines/{ROUTINE_ID}ended_reason: "run_once_fired" means a one-shot already ran (shows as "Ran" in the web UI). The user can re-arm it by updating with a new run_once_at.enabled: true unless user says otherwise© asgeirtj, CC0-1.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in Anthropic/claude-code/skills/schedule of asgeirtj/system_prompts_leaks.
Open the folder on GitHubat commit 60d44cc
Schedule next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Schedule this skillasgeirtj/system_prompts_leaks | 69k | — | ~2.9k | Automated safety check: Pass | CC0-1.0 | |
| ScheduleTinyAGI/tinyagi | 3.6k | — | ~1.4k | Automated safety check: Pass | MIT | |
| Send User MessageTinyAGI/tinyagi | 3.6k | — | ~829 | Automated safety check: Pass | MIT | |
| Cron Opsczl9707/build-your-own-openclaw | 1.9k | — | ~593 | Automated safety check: Pass | MIT | |
| X Bookmarkssharbelxyz/x-bookmarks | 289 | — | ~2k | Automated safety check: Notes | None | |
| Wp Wpcli And OpsAutomattic/agent-skills | 211 | 2 repos | ~988 | Automated safety check: Pass | None |
TinyAGI/tinyagi
Create, list, and delete scheduled tasks (recurring or one-time) that send messages to agents.
TinyAGI/tinyagi
Send a proactive message to a paired user via their channel (Discord, Telegram, or WhatsApp).
czl9707/build-your-own-openclaw
Create, list, and delete scheduled cron jobs. An agent skill from czl9707/build-your-own-openclaw.
sharbelxyz/x-bookmarks
Fetch, summarize, and manage X/Twitter bookmarks via bird CLI or X API v2.
Automattic/agent-skills
A skill your agent uses when working with WP-CLI (wp) for WordPress operations: safe search-replace, db export/import, plugin/theme/user/content management, cron, cache flushing, multisite, and…
ohdearapp/ohdear-cli
Manage Oh Dear website monitoring using the ohdear CLI. An agent skill from ohdearapp/ohdear-cli.
asgeirtj/system_prompts_leaks
Shows one digest of coding-agent sessions across your connected machines and lets you open, read, steer, approve, stop and close them, over Herdr, tmux or MSP.
asgeirtj/system_prompts_leaks
Diagnoses a Muse Code installation's own failures from binary and session evidence, instead of treating the report as an ordinary repository bug.
asgeirtj/system_prompts_leaks
A skill your agent uses whenever the user wants to create, read, edit, or manipulate Word documents (.docx) or Word templates (.dotx).
asgeirtj/system_prompts_leaks
Runs a goal as a project in which the agent coordinates separate agent threads, judging when to split the work, and interviews you first when nothing can be verified.
asgeirtj/system_prompts_leaks
Creates and validates a new native Muse plugin package in the current workspace, limited to five capability families, and leaves installation to you.
asgeirtj/system_prompts_leaks
A skill your agent uses when the user's prompt requires (1) researching a topic across multiple sources, comparing options or alternatives, analyzing trends or history, understanding markets or…
Categories
Create, update, list, or run scheduled cloud agents (routines) that execute on a cron schedule. Schedule is an agent skill from asgeirtj/system_prompts_leaks. Create, update, list, or run scheduled cloud agents (routines) that execute on a cron schedule.
Schedule fits situations like: tasks that involve Scheduled and recurring tasks.
Run `npx skills add asgeirtj/system_prompts_leaks --skill schedule -a claude-code`. Or copy the skill folder (Anthropic/claude-code/skills/schedule in asgeirtj/system_prompts_leaks) into .claude/skills/schedule in your project. Claude Code loads it when a task matches its description.
Run `npx skills add asgeirtj/system_prompts_leaks --skill schedule -a codex`. Or copy the skill folder (Anthropic/claude-code/skills/schedule in asgeirtj/system_prompts_leaks) into .agents/skills/schedule in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add asgeirtj/system_prompts_leaks --skill schedule -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/schedule, .gemini/skills/schedule, .github/skills/schedule and .opencode/skills/schedule in your project.
SKILL.md names no scripts, command-line tools or credentials: Schedule is instructions for the agent only.
SKILL.md names 7 domains. In commands or code: claude.ai and github.com; the agent is likely to contact these when it follows the instructions. As links in the text: api.anthropic.com, calendarmcp.googleapis.com, drivemcp.googleapis.com, econ-index.mcp.claude.com and gmailmcp.googleapis.com. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Schedule is published under the CC0-1.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 2.9k tokens (SKILL.md is roughly 12k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Schedule: Schedule (TinyAGI/tinyagi, 3.6k stars), Send User Message (TinyAGI/tinyagi, 3.6k stars), Cron Ops (czl9707/build-your-own-openclaw, 1.9k stars) and X Bookmarks (sharbelxyz/x-bookmarks, 289 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
asgeirtj (a GitHub user) maintains it in asgeirtj/system_prompts_leaks, which has 69,280 GitHub stars. The repository holds 128 skills in this directory. The repository was last updated on October 10, 2026.
Source: asgeirtj/system_prompts_leaks on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.