claude

linkedin

Organic LinkedIn presence, end to end, with LinkedIn's own rules enforced in code. Orchestrator (context: fork) gates every request against User Agreement §8.2 — refusing automation, scraping, engagement pods, bulk DMs, fake identity and fabricated proof, each with a compliant substitute — then routes to profile / strategy / content / engagement / analytics. Headline and whole-profile scoring with fixes ranked by points per hour; positioning brief with a mandatory exclusion list; cadence priced against real hours with a 90-minute floor; newsletter eligibility + six-month sustainability gate; post linter blocking on engagement bait and screen-reader-hostile Unicode pseudo-bold; repurposing with a reuse ledger; capped commenting roster and template-refusing outreach; analytics that test patterns against a seeded permutation null and refuse to conclude below 10 posts. 17 stdlib tools, 15 references with per-claim confidence levels. No credentials, no API calls, nothing auto-sent. Answers discussion #934.

29,725 on GitHubby Alireza Rezvaniv2.14.6MITupdated yesterdaymarketing
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Plugin linkedin from marketplace claude-code-skills in alirezarezvani/claude-skills. Commands read from the repo's manifest — today.

What it installs

Skills (6)

  • linkedin-analytics

    Use when someone asks why their LinkedIn reach dropped, which posts worked, whether a pattern is real or how to test one. Analyzes posts with post_performance_analyzer.py, mines patterns with pattern_miner.py and plans tests with experiment_planner.py.

  • linkedin-content

    Write, edit or review a LinkedIn post: story, how-to, carousel, video script or poll. Use whenever the user wants a LinkedIn post, asks if their draft is good, or wants a blog or talk turned into posts.

  • linkedin-engagement

    Use for LinkedIn comments, connection notes, DMs or outreach plans, or checking outreach volume is safe. Plans targets with comment_target_planner.py, drafts notes with outreach_message_builder.py and checks limits with outreach_volume_guard.py.

  • linkedin-profile

    Use when auditing or rewriting a LinkedIn profile (headline, About, experience, Featured). Scores the headline with headline_scorer.py, audits completeness with profile_completeness_auditor.py and drafts About with about_section_builder.py.

  • linkedin-skills

    Use for any organic LinkedIn growth request (strategy, profile, posts, cadence, outreach, analytics). Checks it against LinkedIn's rules with linkedin_policy_gate.py and routes with linkedin_goal_router.py. No automation or scraping.

  • linkedin-strategy

    Build a LinkedIn plan rather than a post: content pillars, positioning, a sustainable cadence, whether to start a newsletter. Use whenever the user asks what to post about, how often, or how to grow.

Slash commands (8)

  • /linkedin:cs-grill-linkedin

    /cs-grill-linkedin — Interrogate a LinkedIn plan one forcing question at a time, each with a recommended answer anchored in the plugin's canon. Refuses to start the work until the objective, the audience, the hours, the proof, and the exclusion list survive the questions.

  • /linkedin:cs-linkedin-analyze

    /cs-linkedin-analyze — Read your own exported LinkedIn post data, report medians and outlier bands rather than misleading means, test candidate patterns against a seeded permutation null with multiple-comparisons accounting, and size a real experiment. Refuses to conclude anything below 10 posts.

  • /linkedin:cs-linkedin-outreach

    /cs-linkedin-outreach — Build a weekly commenting roster inside a real time budget, and write one outreach message at a time that refuses to be a template. Caps volume against LinkedIn's observed invitation limits and refuses automation-shaped plans. Nothing is ever sent.

  • /linkedin:cs-linkedin-plan

    /cs-linkedin-plan — Build the positioning brief (objective, audience, 2-4 proof-backed pillars, exclusion list), size a weekly cadence against the hours that actually exist, and gate a newsletter against eligibility and a six-month commitment.

  • /linkedin:cs-linkedin-post

    /cs-linkedin-post — Pick the format the material actually supports, draft to the ~140-character mobile fold, and lint 0-100 across mechanics, hook, integrity, and accessibility. Blocking findings for the 3,000-character cap, engagement bait, and Unicode pseudo-bold.

  • /linkedin:cs-linkedin-profile

    /cs-linkedin-profile — Audit a LinkedIn profile 0-100, rank every fix by points per hour, score the headline on five dimensions against the 220-character cap, and assemble an About section that survives the '…see more' fold.

  • /linkedin:cs-linkedin-repurpose

    /cs-linkedin-repurpose — Split an article, talk transcript, README, or write-up into standalone LinkedIn units, score each on whether it survives without its context, and skip anything already in the reuse ledger so the same idea never goes out twice.

  • /linkedin:cs-linkedin

    /cs-linkedin — Route any organic LinkedIn goal to the right lane (profile / strategy / content / engagement / analytics) after gating it against LinkedIn's User Agreement. Refuses automation, scraping, engagement pods, bulk DMs, fake identity, and fabricated proof before a word is drafted. Nothing i

Subagents (2)

  • cs-linkedin-editor

    Drafts, edits, and lints LinkedIn posts to a publishable standard — hook that survives the ~140-character mobile fold, one idea, real numbers, no engagement bait, no Unicode pseudo-bold, alt text and captions written. Runs post_linter.py to a clean exit rather than declaring a draft done, picks the

  • cs-linkedin-orchestrator

    Routes any LinkedIn organic-growth request to the right lane and gates it against LinkedIn's User Agreement before a word is drafted. Runs the policy gate (ALLOW / CONSTRAIN / REFUSE against §8.2 — automation, scraping, engagement pods, bulk DMs, fake identity, fabricated proof, prohibited third-par

View source on GitHub alirezarezvani.medium.com

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