Set A Posting Cadence You Can Hold
Most cadence advice optimizes for the algorithm and ignores the person doing the posting, which is why so many accounts go daily for six weeks and then dead for six months. Feeds punish the gap more than they reward the burst, because inconsistent accounts lose the early-engagement audience that determines whether new posts get distributed at all. The right cadence is the highest one you can sustain in your worst month, not your best week.
Use when deciding how often to post, or when an ambitious daily schedule has collapsed into silence after a few weeks.
The skill file
What you need first
- an honest estimate of hours per week you will still have when work gets busy
- a record of what you have actually managed historically, not what you intended
- a source of raw material - published work, client questions, internal notes
Method
- 01 Set the floor from your worst recent month rather than your average. Two posts a week held for a year beats daily for six weeks in every measure that matters.
- 02 Batch writing separately from posting: write in one sitting per week, schedule across days, so a bad Tuesday does not create a gap.
- 03 Keep a buffer of three to five finished posts at all times and treat dipping below three as the signal to write, not the day you run out.
- 04 Post at the times your own analytics show your existing followers active, not at the generic best times - your audience's timezone spread is usually narrower than the published averages.
- 05 Distinguish the cadence per platform: a daily rhythm suits X, a two-or-three-a-week rhythm suits LinkedIn, and posting daily to LinkedIn will visibly fatigue the same audience.
- 06 Review every quarter using median reach per post, and if median is falling while frequency rises, cut frequency rather than pushing harder.
What this produces
A written cadence per platform with a buffer rule and a quarterly review trigger.
Where this goes wrong
- setting the cadence from a good week and then treating the inevitable miss as failure and quitting entirely
- judging cadence by mean reach, which one outlier post inflates for months
- raising frequency to fix falling reach, when falling reach usually means falling per-post quality
Use this skill in your own AI
The download is a plain markdown file with the name and trigger in its frontmatter. Where an assistant supports skills it can load itself, that frontmatter is what it reads to decide this one applies.
Questions about this skill
When should I set cadence this way rather than follow the recommended posting frequency?
When you are choosing a frequency for the first time, or restarting after daily posting collapsed into months of silence. Published advice optimises for the feed and ignores the person doing the writing. Feeds punish the gap more than they reward the burst, because an inconsistent account loses the early-engagement audience that decides whether anything new gets distributed at all.
What do I need before setting the number?
An honest estimate of the hours you will still have in a busy month, a record of what you have actually managed rather than intended, and a supply of raw material such as client questions or internal notes. Set the floor from a good week and the first missed day reads as failure, which is how six weeks daily becomes six months of nothing.
What do I end up with?
A written cadence per platform, a buffer rule and a quarterly review trigger. The buffer is what does the work: three to five finished posts, with dropping below three as the signal to write rather than the day you run out. Writing in one weekly sitting and scheduling across days is what stops a bad Tuesday becoming a visible gap.
What ruins this most often?
Raising frequency when reach falls. Falling reach usually means falling per-post quality, so posting more of it accelerates the decline while consuming the hours the buffer needed. Judging by mean reach is the related error, since one outlier inflates the average for months. Review on median instead, and cut frequency rather than pushing harder.
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