Linkedin Comment Drafter

LinkedIn Comment Drafter

Produce conversation-provoking comments on any LinkedIn post from a URL. The skill targets the patterns that actually got author replies in 2026 testing (the missing-piece and specific-objection patterns) and avoids the thesis-restatement patterns that die with zero engagement.

When to use

• User pastes a LinkedIn post URL and says "comment on this", "draft me a comment", "engage with this post"
• User wants to be among the first 3 commenters on a viral post
• User wants to reply to a closing question the author asked

Input

A LinkedIn post URL in any of the standard shapes (see the top-level SKILL.md URL table).

Output

1-3 draft comment variants, each with:

• 200-350 char body, 1-2 short paragraphs, no em dashes, no hashtags
• Assigned reaction type: LIKE, PRAISE, EMPATHY, INTEREST, APPRECIATION, or ENTERTAINMENT
• Pattern label (which of the 7 templates was used)
• Estimated engagement fit based on what the author typically responds to

Then waits for user approval. On "post", posts the reaction + comment through whatever publishing backend the user has configured — or returns a copy-paste block when none is (the default).

Steps

1. Parse the URL. Use lib.url_parser.parse_linkedin_url to get post_urn and, if present, the post's activity ID.
2. Fetch the post body. HarvestAPI-клиент (corporate-knowledge repo) в этом окружении ОТСУТСТВУЕТ — fallback по умолчанию: попроси пользователя вставить текст поста + топ-3 существующих комментария (чтобы не дублировать takes), либо вытяни пост через ScraperVendor/browser (skill dev-browser).
3. Detect the author's closing question. If the post ends with a "?" line, the Answer-the-Closing-Question template usually wins.
4. Draft comment variants. Pick 2-3 templates from references/comment-templates.md that fit the post's topic. Fill them with user-voice phrasing.
5. Run the humanizer pass. Strip em dashes, AI vocab, uniform sentence rhythm. Add a specific number or named entity if missing.
6. Present drafts for approval using lib.approval.render_approval_card. Include: target URL, each variant, reaction suggestion, a one-line "why this template fits".
7. On approval — adapt to the posting setup. Автопостер LinkedIn в пак не входит — подключай свой; без него skill работает в ручном режиме:
   • manual (ничего не настроено — дефолт) → output the approved draft as a copy-paste block: текст варианта, целевой URL, рекомендованная реакция. Do NOT attempt to post programmatically.
   • diy (LINKEDIN_SKILLS_CUSTOM_POSTER set) → invoke the user's configured custom poster command with the draft text + target URL as arguments.
   • свой API-публикатор (например, Postiz self-hosted или собственный клиент LinkedIn API) → react to the post with the chosen reaction type, pause 8-15s, then post a top-level comment (no parent). Return the comment URN.

Templates (see references/comment-templates.md for full list)

• T1 Missing-Piece (highest hit rate): [Name] the [their-thesis] argument misses one piece.. [what-moved]. when [their-condition], the real differentiator is [specific-skill], not [their-focus].
• T2 Answer-the-Closing-Question: direct answer + one concrete example + why it matters
• T3 Data-First: half the [population] I see now [behavior]. the [old-assumption] broke around [date]. [new-rule].
• T4 Practitioner Observation: when X the system does Y, when X' it does Y'. that's when [outcome] kicks in.
• T5 Counter-with-Concession: agree on point 1, push back on point 2 with one rooted reason
• T6 Quotable-Reframe: one line under 12 words + expansion
• T7 Ask-a-Sharper-Question: the harder version of this question is..

Hard rules

• 200-350 chars. Don't exceed.
• Always capitalize the author's name (e.g., "Dharmesh", not "dharmesh").
• No em dashes, no hashtags, no emoji unless the post itself uses them.
• No mention of the user's own product by name. Describe what they do instead.
• Never paste generic praise ("Great post!", "This.", "100%"). The skill refuses.
• Skip the comment if the post is sponsored, a generic listicle, or the author has already deleted it.

Example invocation

User: "Comment on this: https://www.linkedin.com/posts/dharmesh_activity-7448808898326654978-iW20"

Skill: [parses URL, fetches post, detects closing question "Seen this in your market?", drafts 3 variants]

Skill returns: T2 Answer-the-Closing-Question variant as primary pick, with T1 Missing-Piece as backup, reaction INTEREST, one-line rationale, and approval prompt.

Files in this skill

• SKILL.md — this file
• references/comment-templates.md — the 7 templates with fill-in slots and real examples
• references/voice-rules.md — the specific voice rules from user feedback memories

Related skills

• references/linkedin-reply-handler/ — if you're replying to a comment (not posting top-level)
• linkedin-humanizer — for aggressive AI-tell scrubbing
• ../linkedin-post-writer/references/linkedin-hook-extractor/ — if you want to use the author's own hook as the basis for your reply