LinkedIn Marketing Skills

LinkedIn Marketing Skills

A bundle of 11 focused skills for LinkedIn content ops in 2026, built for Claude Code and Codex. Each skill is single-purpose, follows the draft → approval → publish pattern, and uses the Publora API for posting.

When to use this bundle

• Writing a viral post → use linkedin-post-writer
• Commenting on someone else's post → use linkedin-comment-drafter
• Replying to a comment (yours or someone else's) → use linkedin-reply-handler
• Reviewing a draft before publishing, removing AI tells, scoring AI emoji density, defending a flagged rule, or running 5 AI detectors in parallel → use linkedin-humanizer (rewrite + --mode audit pre-publish review; folds in the former post-audit, emoji-detector, rules-explainer, and detector-tester sub-tools)
• Extracting a hook formula from a viral post → use linkedin-hook-extractor
• Planning a week of LinkedIn content → use linkedin-content-planner
• Tracking which of your comments got author replies → use linkedin-thread-monitor
• Analyzing who liked / commented on any post (audience segmentation) → use linkedin-engager-analytics
• Auditing / rewriting a LinkedIn profile → use linkedin-profile-optimizer
• Running an employee advocacy program across a marketing team → use linkedin-employee-advocacy
• Adapting content from another platform (tweet, video, blog) into a native LinkedIn post → use linkedin-repurposer

Founders edition

For founders building trust with investors, hires, and design partners, the bundle ships a dedicated founder layer:

• references/founder-topics.md — 10 founder content angles (A1-A10) as fill-in templates: reprice the category, content-to-pipeline, audience of one, the scarce-shots math, the unglamorous bet, the limit of delegation, designed serendipity, the evasive-sentence test, the delegation line, the learning gate. Each maps to a primary goal and a hook formula.
• 4 structural formulas (F17-F20) in references/hook-formulas.md — controlled A/B anecdote, false-binary dissolve, anecdote-meets-evidence bridge, diverging-curves close. They shape a post's logic rather than its topic and back the founder angles.
• A founders-edition pillar set (Conviction / Building in public / The math / Proof) in linkedin-content-planner.

linkedin-post-writer offers a founder angle before picking a formula when the writer is a founder; linkedin-content-planner asks "founder plan or general plan?" and swaps the pillar set. The founder angles compound trust with a narrow, high-value audience instead of chasing broad reach.

Core pattern

Every action-taking skill follows three steps:

1. Parse the input. User provides a LinkedIn URL (post or comment). The skill uses lib/url_parser.py to extract the post URN and any comment ID.
2. Draft the content. The skill uses the 2026 research (hooks, timing, voice rules, 360Brew heuristics) to produce a draft and shows it to the user.
3. Wait for approval. The user replies with "post", "yes", or suggests edits. Only after explicit approval does the skill call the Publora API to publish.

Prerequisites

Three tiers — pick one.