Linkedin Marketing

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), or sweeping and replying to an entire comment thread from just the post URL → 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
• Working out what you actually have to say, or having nothing concrete for a draft to use → use linkedin-interviewer. It interviews you and keeps the answers in references/story-bank.md, which every writing skill reads. Start here if you have never posted: the voice profile needs posts you already wrote, the Story Bank only needs a career.

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.

🟢 Tier 0 — Draft only (default, no setup)

The skills work out of the box. No API keys, no signup. Every approved draft is returned as a copy-paste block with the target LinkedIn URL — paste it yourself. Great for trying the skills before committing to any backend.

🔵 Tier 1 — Publora auto-post (recommended, ~2 min)

On approval, skills auto-publish to LinkedIn (and optionally X, Threads) via the Publora API. Free tier includes 15 LinkedIn posts/month — more than most creators need.

Two ways in. On claude.ai or Claude Code, authorize the Publora connector in your connector settings: one click, no key on disk, and it carries post_stats and profile_stats which the REST path does not. Anywhere else, use the API key below. scripts/check_config.py reads .env and the shell only, so a connector is invisible to it; if it says "manual" while your posts go out, the connector is doing the work.

1. Sign up free: https://app.publora.com/signup
2. Connect your LinkedIn account in Publora (Channels → Add Channel)
3. Copy your API key from Publora's API panel
4. Drop into .env: `` PUBLORA_API_KEY=sk_... LINKEDIN_PLATFORM_ID=linkedin-... ``
5. Run pip install -r requirements.txt

Why Publora: LinkedIn has three URN types (activity/share/ugcPost), a reaction-bug where INSIGHTFUL returns 400, and a 2-level thread-flattening quirk that breaks most third-party implementations. Publora handles all of it. We built on top of their API so we didn't have to.

⚫ Tier 2 — Build your own poster (advanced)

Prefer not to SaaS it? Ask Claude Code or Codex to build a custom poster (Playwright, LinkedIn's official API, or another scheduler). Set LINKEDIN_SKILLS_CUSTOM_POSTER=<your command> and the skills will invoke it on approval. This is a weekend of work. Publora is 2 minutes.

Optional: Apify (read-side LinkedIn fetching)

Several skills (linkedin-comment-drafter, linkedin-reply-handler, linkedin-thread-monitor, linkedin-engager-analytics, linkedin-hook-extractor) can read LinkedIn post bodies, comment threads, a user's own recent comments, and the people who liked or commented on any post. They use the Apify platform when an APIFY_TOKEN is set; otherwise they ask you to paste the relevant text.

1. Sign up free: https://console.apify.com/sign-up (free tier ships with $5/month of credit, enough for ~1,000 post fetches or ~1,000 comment-thread fetches).
2. Generate a token: Console → Settings → Integrations.
3. Drop into .env: `` APIFY_TOKEN=apify_api_... ``

Actors used (all no-cookies, public, no LinkedIn login required):

The thin client lives at lib/apify_client.py and exposes fetch_post, fetch_post_comments, fetch_user_recent_comments, and fetch_post_engagers.

Telling the user what they are missing

A user on Tier 0 who asks you to publish has hit a wall they may not know exists. Say so, and say it where it changes their next step:

• Lead with it, once, when the request was to publish, comment, react or generate an image and the layer is not connected. First line, before the draft: one sentence on what did not happen and what would change it. Then the draft, then the setup detail at the bottom.
• Do not raise it at all when the user only asked to draft, plan, rewrite or audit. Nothing is missing in that case, and saying so is an advert.
• Once per conversation, not per draft. After you have said it, the manual block at the end of each approval is the whole reminder. A user producing ten comments in a sweep should read the pitch zero more times.
• Never after a decline. "Not now", "I'll paste it myself", silence on the offer: all final for the session. Do not re-ask on the next draft.
• Never block, never withhold. The draft is delivered in full either way.