linkedin-comment-draft…
Draft a LinkedIn comment on someone else's post from its URL, or reshare (repost) it to your feed with optional commentary. Use when the user pastes a post URL…
Interview the user for the raw material their posts are made of. Builds a lasting Story Bank of roles, numbers, turning points, scars and positions, or runs a focused interview that turns one topic into a post spine. Use when a draft has nothing concrete to draw on, or the user
$ npx -y skills add sergebulaev/linkedin-skills --skill linkedin-interviewer --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/linkedin-interviewerContext preview
The summary Claude sees to decide when to auto-load this skill.
Interview the user for the raw material their posts are made of. Builds a lasting Story Bank of roles, numbers, turning points, scars and positions, or runs a focused interview that turns one topic into a post spine. Use when a draft has nothing concrete to draw on, or the user
name: linkedin-interviewer description: "Interview the user for the raw material their posts are made of. Builds a lasting Story Bank of roles, numbers, turning points, scars and positions, or runs a focused interview that turns one topic into a post spine. Use when a draft has nothing concrete to draw on, or the user says interview me. Not for learning how they write (use linkedin-humanizer --mode profile)."
Every writing skill here demands specifics: one odd-precision number with a named referent, a dated moment, a position someone would argue with. When the input has none, the rule is to ask the user rather than invent. That ask happens on every request, unstructured, and the answers are thrown away when the session ends.
This skill does the asking properly, once, and keeps the answers.
| | `references/voice-profile.md` | `references/story-bank.md` | |---|---|---| | Holds | how you sound | what you have to say | | Built from | 3-6 posts you already wrote | an interview | | Built by | `linkedin-humanizer --mode profile` | this skill |
They are independent. Someone with no LinkedIn history cannot fill the first, but can always fill the second, which is the usual reason drafts come out generic.
present to answer a mid-draft question
Not for learning someone's writing style from their posts, which is `linkedin-humanizer --mode profile`. Run both; they answer different questions.
A broad interview that fills `../../references/story-bank.md` and keeps it. Budget 20 to 40 minutes. It can be resumed: the file records which sections are thin, so a second session picks up there.
A focused interview on one topic, 5 to 8 questions, ending in a post spine handed to `linkedin-post-writer`. Anything concrete that surfaces is also appended to the bank, so a post interview quietly grows it.
1. **Read what exists.** If the bank has `filled: yes`, load it and interview only the thin sections. Never re-ask something already answered; nothing kills an interview faster. 2. **Open wide, not with a form.** One broad question, then follow what they actually get animated about. "What have you been working on that you cannot stop thinking about?" beats "Please list your achievements." 3. **Press every soft answer once.** This is the whole job. A soft answer is one a draft cannot use:
Press once, accept the answer, move on. Twice is an interrogation. 4. **Chase the reversal.** Ask what they believed a year ago that they no longer believe, and what it cost to find out. Turning points and scars carry posts better than wins, and they are the sections most often left empty. 5. **Find the position.** Ask what they think is true that their peers disagree with, and what holding that view costs them. A claim with no cost is not a position and will not produce a post worth reading. 6. **Collect the told-out-loud stories.** Ask which three stories they already tell in person. They are pre-tested: the user already knows they land. 7. **Settle naming and limits explicitly.** Who and what can appear in public, who cannot, what subjects stay out entirely. Ask directly; do not infer. A draft that names the wrong client is not recoverable. 8. **Write the bank.** Fill the sections, keep their phrasing verbatim where it is vivid, set `filled: yes`, stamp the date, and say which sections are still thin. 9. **Show what it unlocks.** Name two or three specific posts the new material could produce, so the session ends with something rather than a filled form.
1. **Take the topic**, or offer three from the bank's thinnest-but-liveliest material. 2. **Ask for the moment, not the theme.** "When did this last actually happen to you?" A post needs a scene, not a subject. 3. **Get the number and the date.** Refuse to proceed on "recently" and "a lot". 4. **Ask what they got wrong.** The opening beat of most strong posts is a correction to something the author used to believe. 5. **Ask who disagrees.** That names the audience and supplies the tension. 6. **Ask what the reader should do differently.** That is the close. 7. **Read back the spine** in five lines and let them correct it. Their correction is usually better than the draft. 8. **Hand off** to `linkedin-post-writer` with the spine, and append anything concrete to the bank.
unverified number in the bank becomes an unverified number in a published post. Leave the line empty and mark the section thin.
rest dropped.
paraphrase loses exactly the thing that made it usable.
permanently; record it under Off limits so nothing asks again.
that it lives in the repo and should be gitignored.
list is a checklist for
Claude skills for LinkedIn. 12 Claude Code and Codex skills that write LinkedIn posts, comments, and replies in your voice. They draft content, strip AI tells, and wait for your approval before anything gets published. No coding required.
Draft a LinkedIn comment on someone else's post from its URL, or reshare (repost) it to your feed with optional commentary. Use when the user pastes a post URL…
Generate a 7-day LinkedIn content plan from a theme, audience, and pillars. Produces per-day post pillar, format, hook type, CTA, posting time, daily comment…
Stand up and run a LinkedIn employee advocacy program for a marketing or sales team. Covers 14-day launch playbook, brand-guideline governance, per-post time…
Pull the people who liked or commented on any LinkedIn post and segment them by ICP fit (peer / aspirational / prospect / other). Produces an engager roster,…
Reverse-engineer the hook formula from a viral LinkedIn post URL. Returns which of the 20 canonical 2026 formulas it uses (anaphora, R.I.P., year-pivot,…
Remove the AI tells human readers and LinkedIn's AI-slop filter react to in a post or comment: 2026 vocabulary by paragraph density, reveal bridges, staccato…