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Founder Thought Leadership

Community
shawnpang
founder-thought-leadership

When the user wants to build personal brand, thought leadership, or IP as a founder on Twitter/X or LinkedIn. Also use when the user mentions "founder brand", "personal content", "build audience", or "grow my following".

Overview

Publishershawnpang
Repositorystartup-founder-skills
Skill namefounder-thought-leadership
Stars
368
Forks
43
Bundled files
Instructions only
LicenseMIT
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

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

Installation

Install the Founder Thought Leadership 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/shawnpang/startup-founder-skills/tree/main/skills/founder-thought-leadership
  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/shawnpang/startup-founder-skills.git /tmp/startup-founder-skills
mkdir -p .claude/skills
cp -r /tmp/startup-founder-skills/skills/founder-thought-leadership .claude/skills/founder-thought-leadership
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Founder Thought Leadership 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 Founder Thought Leadership 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 Founder Thought Leadership 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.

Founder Thought Leadership

When to Use

  • Founder wants to build a personal brand that drives pipeline, recruiting, or fundraising
  • Founder wants to establish IP (intellectual property in ideas, not legal) — original frameworks, contrarian takes, or proprietary insights
  • Founder wants to grow a relevant audience on X or LinkedIn
  • Founder wants to turn founder journey into content (building in public, lessons learned)

Context Required

  • Founder's area of expertise and unique perspective
  • Target audience (customers, investors, talent, peers)
  • Platform priority (X, LinkedIn, or both)
  • Current following size and engagement baseline
  • Company stage and what they're optimizing for (pipeline, recruiting, fundraising, awareness)

Workflow

  1. Define the founder's IP territory — identify 2-3 topics where the founder has genuine, earned insight that others don't. These must pass the "why should anyone listen to YOU on this?" test.
  2. Audit existing content — review the founder's last 20 posts on each platform. Identify what got traction, what fell flat, and what's missing from their voice.
  3. Build the content system — create a repeatable framework:
    • Pillar posts (1-2/week): original frameworks, data, or contrarian takes that establish IP
    • Proof posts (2-3/week): behind-the-scenes, customer wins, lessons from failure, building in public
    • Engagement posts (daily): replies, quote tweets, threads on others' content
  4. Create the IP library — document the founder's original frameworks, mental models, and coined terms. These become the building blocks for all content.
  5. Write a 2-week content calendar — draft actual posts with platform-specific formatting.
  6. Set up the feedback loop — define which metrics to track (impressions, profile visits, inbound DMs, pipeline attributed to content).

Output Format

markdown
## Founder Thought Leadership Plan

### IP Territory
- Topic 1: [topic] — why you have authority here
- Topic 2: [topic] — why you have authority here

### Original Frameworks
- [Framework name]: [one-line description]
  - Origin story: [how you discovered/developed this]
  - Post format: [how to present it]

### Platform Strategy
**LinkedIn:** [posting cadence, format preference, audience]
**X/Twitter:** [posting cadence, format preference, audience]

### 2-Week Content Calendar
| Day | Platform | Type | Topic | Hook |
|-----|----------|------|-------|------|
| Mon | LinkedIn | Pillar | ... | ... |
| Tue | X | Proof | ... | ... |
| ... | ... | ... | ... | ... |

### Metrics to Track
- [metric]: [current baseline] → [30-day target]

Frameworks & Best Practices

The IP Test: A post builds IP if people screenshot it, reference your framework by name, or tag you when the topic comes up. If none of that happens, it's content — not IP.

Platform differences:

  • LinkedIn: longer-form, professional framing, storytelling, carousels perform well. Algorithm rewards comments over likes. Post early morning (7-8am local).
  • X/Twitter: shorter, punchier, thread format for depth. Algorithm rewards replies and quote tweets. Contrarian takes travel further. Consistency matters more than timing.

Building in public works when:

  • You share specific numbers (revenue, users, churn), not vague "we're growing"
  • You share failures and what you learned, not just wins
  • You give away frameworks others can use immediately

Common mistakes:

  • Writing for peers instead of customers (founder echo chamber)
  • Posting generic startup advice instead of specific, earned insights
  • Treating both platforms identically (different audiences, different formats)
  • Optimizing for impressions instead of inbound conversations
  • Abandoning after 2 weeks because "nothing happened" — compound effects take 90+ days

Related Skills

  • social-content — for ongoing social media content beyond founder personal brand
  • content-strategy — for broader content planning across blog, SEO, and channels
  • landing-page — to convert audience attention into signups or leads

Examples

Prompt: "I'm a technical founder building a dev tools startup. Help me build thought leadership on X."

Good output includes: Identifying 2-3 IP territories based on the founder's unique technical insights, drafting 10 posts that establish original frameworks (not generic "startups are hard" content), platform-specific formatting for X (thread structure, hook patterns), and a system for turning daily building into content.

Prompt: "I want to grow my LinkedIn to attract enterprise buyers for our security product."

Good output includes: IP territory around security insights the founder has from building the product, pillar posts that demonstrate expertise to CISOs and security engineers, proof posts showing customer outcomes, and a strategy for engaging in security-focused LinkedIn discussions.

Frequently asked questions

What does the Founder Thought Leadership AI skill do?

When the user wants to build personal brand, thought leadership, or IP as a founder on Twitter/X or LinkedIn. Also use when the user mentions "founder brand", "personal content", "build audience", or "grow my following".

Why use Founder Thought Leadership on TypingMind?

Because you install it once and use it with any model. Founder Thought Leadership 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 Founder Thought Leadership in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/shawnpang/startup-founder-skills/tree/main/skills/founder-thought-leadership. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Founder Thought Leadership?

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 Founder Thought Leadership?

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

Is the Founder Thought Leadership AI skill free?

Yes. It is published on GitHub by shawnpang under the MIT license. 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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