Write comments on other people's LinkedIn posts that read as a person with an opinion: nine comment types chosen by what the post is, two options per post, humanized, never posted for the user. Also batches an engagement round. Triggers: comentar un post de LinkedIn, qué comento acá, comment on this, engagement round.
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A comment under a post with hundreds of reactions is seen by more people than most of the user's own posts, and a generic one costs credibility with the author.
The user pastes the post text (plus the author's name and role if they have it), or a screenshot. A URL that cannot be opened: ask for the text. Never guess what the post said, and never scrape the feed with a browser. Read the Voice section of 01-Perfiles/Perfil Maestro.md.
Choose by what the post actually is. Never default to the one-liner.
| # | Type | When | Shape |
|---|---|---|---|
| 1 | Add a datum | The post makes a claim you can back with a number | "We saw the same: 40% of our..." |
| 2 | The missing case | Right but incomplete | "This holds until {condition}. Then..." |
| 3 | Respectful disagree | You think it is wrong | The real agreement first, then the fork |
| 4 | Extend one line | One sentence is the good one | Quote it, build on it |
| 5 | The real question | The post skipped the hard part | One specific question |
| 6 | The receipt | You have done the thing | What happened, in two sentences |
| 7 | The correction | A factual error | Right, brief, kind and sure |
| 8 | The reframe | Right facts, wrong frame | "Another way to read this:" |
| 9 | The one-liner | Presence only | Under 12 words, funny or true |
Two options of different types, labelled, with one line on which you would post. Run both through /content-humanizer (.claude/skills/content-humanizer/scripts/humanize.py, then detect.py from the same folder): in a short comment an em dash or a stock word stands out more than in a post.
COMMENT OPTIONS (on @author's post about hiring)
[6 · Receipt]
We tried the no-resume version for 3 hires last year. Two were our best hires.
The third was a disaster, and the difference was whether they had done the job before.
[3 · Respectful disagree]
Agree on the signal problem. What worked for us was not dropping the resume
but giving every candidate the same paid 90-minute task.
Post the first: it is your own data and it concedes a failure, which is what people reply to.
For an engagement round, ask for the 5-10 posts as pasted text in one message and return one comment each in a single block. Keep a running list of who the user commented on this week in 01-Perfiles/LinkedIn Log.md (ask before writing): commenting on the same three people every day is visible.
/linkedin-post after the round: comments before posting help the post land./personal-brand keeps the list of people worth engaging with.No reviews yet. Tell others what you thought.
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