Agent skill

Prime Work Schedules

by am-will in am-will/gooey-pi

Create, inspect, edit, pause, resume, run, and delete durable GooeyPi scheduled tasks.

MITAuto-check passedProductivity & Automation

Install Prime Work Schedules

skills CLI
$ npx skills add am-will/gooey-pi --skill prime-work-schedules -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install am-will/gooey-pi prime-work-schedules --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/am-will/gooey-pi.git skills-src && mkdir -p .claude/skills && cp -r skills-src/assets/skills/prime-work-schedules .claude/skills/prime-work-schedules && rm -rf skills-src

Use ~/.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/

Facts

Skill name
prime-work-schedules
GitHub stars
943
Token cost
~425 tokens
SKILL.md length
84 words
Files
3
Skills in repo
8
Repo updated
First seen
Licence
MIT

At a glance

Create, inspect, edit, pause, resume, run, and delete durable GooeyPi scheduled tasks.

  • The user asks to schedule recurring
  • Runs Python scripts from its folder
  • One-time work in the current project

What it does

Prime Work Schedules is an agent skill from am-will/gooey-pi. Create, inspect, edit, pause, resume, run, and delete durable GooeyPi scheduled tasks. Use when the user asks to schedule recurring or one-time work in the current project or thread. Use rlm-heartbeat instead for temporary internal polling while actively working.

Its SKILL.md is about 430 tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files (for example `src/prime_work_schedules/__init__.py`).

It sits in Productivity & Automation, covering Scheduled and recurring tasks. The repository describes itself as: Desktop workspace for Pi, OMP, and Prime Agent. The licence is MIT.

When your agent uses it

  • The user asks to schedule recurring
  • One-time work in the current project

Example prompts

  • “/prime-work-schedules”

Requirements

  • Python 3

What it can do on your machine

Read from SKILL.md and the folder at commit 459c996. It shows what the files ask for, not the result of running them.

  • Tool permissions

    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.

  • Runs code

    Ships script files (Python), which the agent can run.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Prime Work Schedules loads about 425 tokens when it runs. Until then it costs about 71 tokens; SKILL.md has 84 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~71
When it runs · the whole SKILL.md, loaded when a task matches
~425

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.

Safety

Auto-check passed

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.

SKILL.md

The full file from am-will/gooey-pi at commit 459c996, republished under its MIT licence (© am-will). 84 words, ~425 tokens.

Download SKILL.mdSave it as .claude/skills/prime-work-schedules/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.
name
prime-work-schedules
description
Create, inspect, edit, pause, resume, run, and delete durable GooeyPi scheduled tasks. Use when the user asks to schedule recurring or one-time work in the current project or thread. Use rlm-heartbeat instead for temporary internal polling while actively working.

GooeyPi Schedules

Use this capability for durable, user-visible tasks. GooeyPi must be running.

  • current_project: each run creates a fresh top-level session in this project.
  • current_session: each run returns to this thread and keeps its context.
  • Use rlm_heartbeat instead for short-lived agent-internal checks such as watching a test command.

Call from IPython:

python
await prime_work_schedules.create_recurring(
    prompt="Review open issues and report blockers",
    rrule="FREQ=WEEKLY;BYDAY=MO,TU,WE,TH,FR;BYHOUR=9;BYMINUTE=0",
    dtstart_local="2026-08-07T09:00:00",
    time_zone="America/Los_Angeles",
    target="current_project",
    title="Morning issue review",
    model="auto",
    thinking="high",
    fast=False,
)

Other calls:

python
await prime_work_schedules.create_once(prompt="...", at="2026-08-08T18:00:00Z", target="current_session")
await prime_work_schedules.list()
await prime_work_schedules.update(task_id, title="New title", prompt="...")
await prime_work_schedules.pause(task_id)
await prime_work_schedules.resume(task_id)
await prime_work_schedules.run_now(task_id)
await prime_work_schedules.delete(task_id)

RRULE must be RFC 5545 without DTSTART; pass local start and IANA timezone separately. Never invent another project path or session ID: this capability is intentionally restricted to the current project/thread.

© am-will, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 2 other files in assets/skills/prime-work-schedules of am-will/gooey-pi.

  • SKILL.md
  • pyproject.toml
  • src/prime_work_schedules/__init__.py

Open the folder on GitHubat commit 459c996

Compare with similar skills

Prime Work Schedules 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.

Prime Work Schedules compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Prime Work Schedules this skillam-will/gooey-pi943—~425Automated safety check: PassMIT
ScheduleTinyAGI/tinyagi3.6k—~1.4kAutomated safety check: PassMIT
Send User MessageTinyAGI/tinyagi3.6k—~829Automated safety check: PassMIT
Cron Opsczl9707/build-your-own-openclaw1.9k—~593Automated safety check: PassMIT
X Bookmarkssharbelxyz/x-bookmarks289—~2kAutomated safety check: NotesNone
Wp Wpcli And OpsAutomattic/agent-skills2112 repos~988Automated safety check: PassNone

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Questions about Prime Work Schedules

What does Prime Work Schedules do?

Create, inspect, edit, pause, resume, run, and delete durable GooeyPi scheduled tasks. Prime Work Schedules is an agent skill from am-will/gooey-pi. Create, inspect, edit, pause, resume, run, and delete durable GooeyPi scheduled tasks.

When should I use Prime Work Schedules?

Prime Work Schedules fits situations like: the user asks to schedule recurring; one-time work in the current project.

How do I install Prime Work Schedules in Claude Code?

Run `npx skills add am-will/gooey-pi --skill prime-work-schedules -a claude-code`. Or copy the skill folder (assets/skills/prime-work-schedules in am-will/gooey-pi) into .claude/skills/prime-work-schedules in your project. Claude Code loads it when a task matches its description.

How do I install Prime Work Schedules in Codex?

Run `npx skills add am-will/gooey-pi --skill prime-work-schedules -a codex`. Or copy the skill folder (assets/skills/prime-work-schedules in am-will/gooey-pi) into .agents/skills/prime-work-schedules in your project. Codex loads it when a task matches its description.

Can I use Prime Work Schedules in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add am-will/gooey-pi --skill prime-work-schedules -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/prime-work-schedules, .gemini/skills/prime-work-schedules, .github/skills/prime-work-schedules and .opencode/skills/prime-work-schedules in your project.

What does Prime Work Schedules need to run?

Going by SKILL.md and its folder, Prime Work Schedules needs Python for the scripts in its folder. Our summary lists: Python 3.

Does Prime Work Schedules access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Prime Work Schedules safe to install?

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.

What licence does Prime Work Schedules use?

Prime Work Schedules is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Prime Work Schedules use?

About 425 tokens (SKILL.md is roughly 1.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Prime Work Schedules?

Skills that share tags, products or a category with Prime Work Schedules: 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.

Who maintains Prime Work Schedules?

am-will (a GitHub user) maintains it in am-will/gooey-pi, which has 943 GitHub stars. The repository holds 8 skills in this directory. The repository was last updated on September 9, 2026.

Source: am-will/gooey-pi on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.