By sergebulaev
Automate LinkedIn marketing workflows in Claude Code: generate viral posts, comments, replies, and 7-day content plans; humanize AI drafts against detectors; audit posts and profiles against 2026 algorithms; monitor engagement via likers and replies; extract hooks from virals; run employee advocacy programs with playbooks and metrics—integrating Apify for scraping and Publora for scheduling.
npx claudepluginhub sergebulaev/linkedin-skills --plugin linkedin-skillsDraft a high-quality LinkedIn comment on any post from a URL. Use when the user gives a LinkedIn post URL and asks to comment on it. The skill parses the URL, reads the post context, drafts 1-3 comment variants in the user's voice using 2026 hook patterns (first-commenter, data-first, answer-the-closing-question, quotable-reframe), picks a reaction type, and waits for approval before posting via Publora. Keywords: linkedin comment, engage post, comment draft, first commenter, linkedin reply strategy.
Generate a 7-day LinkedIn content plan given a theme, audience, and content pillars. Produces per-day recommendations (pillar, format, hook, angle, CTA type, best time), daily comment targets, and a weekly inbound-readiness check. Use when the user wants to plan a week of posts and comments instead of ad-hoc shipping. Keywords: content plan, weekly calendar, content pillars, LinkedIn strategy, founder schedule.
Plan, launch, and operate a LinkedIn employee advocacy program for a marketing team. Covers 14-day launch playbook, authentic-voice posting at scale, brand guideline governance with optional review, per-post time budgeting, team posting cadence benchmarks, and ROI measurement (team reach, engagement, pipeline impact). Triggers on "employee advocacy", "team posting program", "scale LinkedIn across marketing team", "brand amplification", "advocacy ROI", "get the team posting", "employee-generated content".
Monitor LinkedIn engagement on two surfaces. (1) Author replies to your comments (the highest-value inbound signal, with the 6-24h Kevin Payne window). (2) Likers and commenters on any post, grouped by ICP fit, seniority, company, peer / aspirational / prospect tier. Drafts timely follow-ups for warm threads and produces ICP-segmented engager reports for outbound. Powered by Apify (no LinkedIn login required). Keywords thread monitoring, author reply, inbound tracking, comment follow-up, engagement compound, likers analysis, post engagers, ICP segmentation, audience analytics, who engaged.
Reverse-engineer the hook formula from any viral LinkedIn post. Use when the user finds a post they want to learn from. Paste the URL and get a structural breakdown. Identifies which of the 10 canonical 2026 formulas it uses (anaphora, R.I.P. obituary, year-over-year pivot, time-anchor confession, self-proving meta, odd-precision money, paid-vs-free reversal, curiosity-gap, contrarian historical, comment-gate). Returns a blank template you can fill with your own voice. Keywords: hook formula, viral teardown, reverse engineer, post structure, 2026 formulas.
Remove AI tells from any LinkedIn post or comment draft and audit the rules behind every flag. Tier-based scrubber (forensic / strict / aesthetic / all) plus three bundled sub-tools: emoji-pattern detector, AI-detector spread tester (GPTZero, Originality.ai, ZeroGPT, Sapling, Copyleaks), and a rule-explainer reference. Use before publishing any AI-drafted content, or to defend a stylistic choice when a single detector flags it. Keywords humanizer, AI detection, OriginalityAI, GPTZero, scrub AI tells, rewrite human, forensic, strict, aesthetic, emoji detector, rule explainer.
Audit a LinkedIn post draft against 2026 algorithm heuristics and voice rules before publishing. Use when the user has a draft and wants to catch AI tells, algorithm penalties, or structural issues before shipping. Returns a pass/fail report with specific fixes and optional auto-rewrites. Keywords: post audit, linkedin review, algorithm check, 360Brew, humanizer, AI detection, pre-publish check.
Draft a viral-ready LinkedIn post using a 2026 hook formula. Use when the user wants to write a new LinkedIn post, needs help with a hook, or wants to pick a proven format (platform-risk anaphora, R.I.P. obituary, year-over-year pivot, time-anchor confession, self-proving meta, paid-vs-free reversal, curiosity-gap teaser, odd-precision money ledger, contrarian historical receipts). The skill drafts the post, runs the humanizer pass, shows an approval card, and schedules via Publora on confirmation. Keywords: linkedin post, viral hook, personal brand, founder post, content draft, thought leadership, 2026 algorithm.
Audit and rewrite a LinkedIn profile end-to-end for 2026. Covers headline formula, About section 7-step structure, Featured section strategy, banner design, photo rules, Experience metrics, Skills pinning, custom URL, recommendations. Triggers on requests like "review my LinkedIn profile", "rewrite my headline", "fix my About section", "optimize banner", "profile audit", "LinkedIn bio", "Featured section", "profile conversion", "profile keywords". Converts default/resume-style profiles into one that converts visitors 3-5x better.
Draft a reply to any existing LinkedIn comment from a URL. Use when the user wants to reply to a comment on someone else's post, reply to a reply on their own post, or follow up in a thread where the author just responded. The skill parses the commentUrn from the URL, figures out the correct parentComment target (LinkedIn flattens threads to 2 levels), drafts the reply in the user's voice, and waits for approval before posting via Publora. Keywords: linkedin reply, reply to comment, thread continuation, comment URL, parent comment URN.
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