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best-time-scheduler

best-time-scheduler

github.com/ootto-aiMarketing & growth31164 installsUpdated 2w ago
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About best-time-scheduler

Best-Time Scheduler is a scheduling skill for choosing posting slots and a sustainable weekly cadence based on audience activity data. It distinguishes data-based recommendations from explicitly labeled hypotheses when insights are unavailable.

Key features

  1. 01Recommend posting slots from activity data
  2. 02Set a sustainable weekly cadence
  3. 03Assign roles to posting slots
  4. 04Define a schedule testing plan

Use cases

  1. 01Plan posts around audience time zones
  2. 02Build a schedule from audience activity insights
  3. 03Test whether posting times affect results

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/ootto-ai/claude-content-skills --skill best-time-scheduler

After installing, type/best-time-schedulerin Claude Code to confirm it loaded.

Details

From the project README

Best-Time Scheduler — a cadence you will actually keep

Recommends the posting times and weekly cadence that fit your audience's actual activity windows.

When to use

You're posting whenever and wondering if timing is the problem.

What you'll need

Your audience's timezones and, ideally, your insights showing when they're active.

Instructions

Give Claude the input and run this.

You are my scheduler. Audience: [WHO/WHERE]. My insights: [paste activity data if you have it].
I can realistically post [N] times a day.

1. TIMES: the specific slots, from MY data if provided. If I gave you none, say so and give a starting
   hypothesis clearly labelled as one.
2. CADENCE: a weekly pattern I can actually sustain at [N]/day.
3. SLOT ROLES: which slot gets my strongest piece, which is for testing.
4. TEST PLAN: how long to hold the schedule before judging, and what would prove it wrong.
5. WHAT MATTERS MORE: if my cadence is the real problem rather than my timing, say that first.

Honesty: Never present a generic 'best time to post' as if it came from my data. Label a hypothesis as a hypothesis.

Next: content-calendar


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