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Linkedin Authority Builder

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BrianRWagner
linkedin-authority-builder

Build a LinkedIn content system for thought leadership. Use when someone needs to establish authority, attract inbound leads, or build a consistent content presence. Covers positioning, content pillars, formats, and posting rhythm.

Overview

PublisherBrianRWagner
Repositoryai-marketing-claude-code-skills
Skill namelinkedin-authority-builder
Stars
449
Forks
103
Bundled files
1
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by BrianRWagner on GitHub. Read the source before you install it.

Installation

Install the Linkedin Authority Builder AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/BrianRWagner/ai-marketing-claude-code-skills/tree/main/linkedin-authority-builder
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/BrianRWagner/ai-marketing-claude-code-skills.git /tmp/ai-marketing-claude-code-skills
mkdir -p .claude/skills
cp -r /tmp/ai-marketing-claude-code-skills/linkedin-authority-builder .claude/skills/linkedin-authority-builder
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Linkedin Authority Builder in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Linkedin Authority Builder on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Linkedin Authority Builder is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

LinkedIn Authority Builder

Here's what most people get wrong about LinkedIn: they're trying to go viral.

Viral doesn't pay your bills. Being remembered by the right 500 people when they need what you do — that pays your bills.

This skill builds a content system around consistent positioning and clear pillars — not hacks.


Mode

Detect from context or ask: "Starter plan, full content system, or 90-day build?"

ModeWhat you getBest for
quick3 content pillars + 1-week posting starter planGetting unstuck, first week of consistency
standardFull content system: pillars, formats, posting rhythm + first week writtenBuilding a repeatable presence
deepFull system + 90-day calendar + 10 posts written + engagement playbookSerious authority-building campaign

Default: standard — use quick if they just need to start posting. Use deep if they're committing to LinkedIn as a growth channel.


Context Loading Gates

Before generating any strategy, load:

  • Current positioning: One-liner, ICP, key differentiator (load from positioning-basics output if available)
  • Target audience on LinkedIn: Specific titles, company stages, industries
  • Posting history: What have they tried? What worked? What didn't?
  • Content goals: Leads / job offers / speaking / partnerships / audience growth
  • Available time per week: Hours they can realistically commit

Sequencing gate: If positioning isn't clear yet, stop and ask:

"Before building a content strategy, I need your one-liner: 'I help [specific audience] with [specific outcome] through [unique approach].' Do you have this locked, or should we nail positioning first with positioning-basics?"

Do not build a content system for an unclear position — the content will be unfocused.

Also suggest:

"Run linkedin-profile-optimizer if you haven't — the content we build needs a profile that converts the traffic."


Phase 1: Positioning Alignment Analysis

Before recommending any content, reason through:

  1. Positioning check: Is the one-liner specific enough to anchor content pillars? If it's "I help businesses grow," that's too vague — push for specificity before proceeding.
  2. Audience clarity: Are we targeting a specific title + company stage, or a demographic? Specific is better.
  3. Time-to-output match: If they have 2 hours/week, don't recommend 5 posts/week. Sustainability matters more than ambition.
  4. Goal alignment: Content for lead generation looks different from content for speaking gigs. Confirm goal before building pillars.

Output a brief strategy assessment:

"You're a [role] targeting [audience] with [X hours/week] and a goal of [outcome]. I'll build a [3/5 post/week] strategy anchored to [X] pillars. The main gap in your current approach: [specific gap]."


Phase 2: Content Pillars (3–5 Required)

Each pillar must pass all 4 tests:

  1. You have genuine expertise (not just interest)
  2. Your target audience actively cares about it
  3. You can produce content on it consistently for 6+ months
  4. It connects to what you sell or want to be known for

Pillar ratio:

  • 70% core expertise → builds authority
  • 20% adjacent insights → makes you interesting
  • 10% personal → makes you relatable

Output format per pillar:

Pillar: [Name]
Ratio: [%]
Content types: [frameworks / stories / case studies]
Example hook: "[First line of a real post]"
Connection to goal: [how this drives the stated outcome]

Phase 3: Format Selection & Post Templates

Format-to-Goal Mapping

FormatBest ForEngagement Level
StoryConnection, memorabilityHigh
Framework/ListAuthority, credibilityHigh
Hot takeReach, visibilityVariable
Case study/proofCredibility, late-stage trustMedium
Behind-the-scenesRelatability, trustMedium

Recommended weekly mix:

  • 2–3 frameworks (authority)
  • 1–2 stories (connection)
  • 1 proof point (credibility)

Post Templates

Story Post:

[Hook — the moment or realization]
[Setup — quick context]
[Tension — what was hard or went wrong]
[Turn — the insight]
[Lesson — the takeaway]
[Question — drives engagement]

Framework Post:

[Hook — bold claim or problem statement]
[Why this matters — 1-2 sentences]
[The X-step framework:]
1. [Step + brief explanation]
2. [Step + brief explanation]
3. [Step + brief explanation]
[Key insight or summary]
[CTA or discussion question]

Hot Take:

[Controversial statement]
[Your reasoning — 2-3 sentences]
[The nuance people miss]
[What to do instead]
[Question to drive comments]

Phase 4: Content Calendar with Real Dates

Generate a 4-week calendar with actual dates (not generic day names):

DatePillarFormatHook (first line)Status
[YYYY-MM-DD][Pillar]Framework"[First line]"Draft
[YYYY-MM-DD][Pillar]Story"[First line]"Draft

Fill 4 full weeks. Generic "Week 1, Monday" output is not sufficient.

Also output 5 starter post hooks ready to write immediately — these break the blank-page problem:

1. [Hook]
2. [Hook]
3. [Hook]
4. [Hook]
5. [Hook]

Phase 5: Self-Critique Pass (REQUIRED)

After generating the strategy, evaluate:

  • Is the positioning one-liner specific enough to anchor the pillars?
  • Are the 5 starter hooks actually strong — would they stop the scroll?
  • Does the time commitment match the user's stated available hours?
  • Is at least one pillar directly tied to the revenue/goal outcome?
  • Does the calendar have actual dates, or just generic "Day 1/Day 3" placeholders?
  • Would this content system still work in 6 months if the user stays consistent?

Flag issues: "Pillar 3 ('general business tips') doesn't connect to your stated goal of attracting SaaS founders. Replace with something more specific."


Phase 6: 30-Day Iteration Protocol

After 30 days, review with these questions:

  • Which posts got the most comments? What pillar did they fall under?
  • Which posts drove DMs or profile views?
  • Which posts got the most impressions regardless of engagement?

Adjust based on data:

  • If case study posts outperform frameworks → increase case study ratio
  • If stories drive DMs but frameworks drive impressions → use both intentionally

Output Structure

markdown
## LinkedIn Strategy: [Name] — [Date]

### Positioning Alignment
[One-liner + assessment of clarity]

### Content Pillars
[3-5 pillars with ratio, examples, connection to goal]

### Weekly Rhythm
- Posts/week: [X]
- Best times: [e.g., Tue/Thu 8am EST]
- Active commenting: [X min/day]

### Format Mix
[Breakdown with rationale]

### 4-Week Content Calendar
[Table with real dates + hooks]

### 5 Starter Posts (Write These First)
[Hooks with format labels]

### Engagement Plan
[Who to engage with, how much time, what to say]

### Self-Critique Notes
[Issues flagged + recommended fixes]

### 30-Day Review Triggers
[What to measure and when to adjust]

### Cross-References
- linkedin-profile-optimizer (run before publishing)
- content-idea-generator (for ongoing idea generation)
- voice-extractor (to ensure posts sound authentic)

Skill by Brian Wagner | AI Marketing Architect | brianrwagner.com

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Linkedin Authority Builder AI skill do?

Build a LinkedIn content system for thought leadership. Use when someone needs to establish authority, attract inbound leads, or build a consistent content presence. Covers positioning, content pillars, formats, and posting rhythm.

Why use Linkedin Authority Builder on TypingMind?

Because you install it once and use it with any model. Linkedin Authority Builder is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Linkedin Authority Builder in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/BrianRWagner/ai-marketing-claude-code-skills/tree/main/linkedin-authority-builder. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Linkedin Authority Builder?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Linkedin Authority Builder?

As many as you like. As long as a model supports skills, you can use Linkedin Authority Builder with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Linkedin Authority Builder AI skill free?

It is published on GitHub by BrianRWagner. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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