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X Longform Post

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ericosiu
x-longform-post

Write long-form X (Twitter) posts and threads in a founder/CEO voice. Use when drafting X articles, long tweets, thought leadership threads, or viral content. Produces contrarian, data-backed posts with ASCII diagrams and code block visuals. Includes mandatory AI humanizer pass (24-pattern detector) before finalizing.

Overview

Publisherericosiu
Repositoryai-marketing-skills
Skill namex-longform-post
Stars
3.5K
Forks
685
Bundled files
3
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.

  • 3 bundled files

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

  • Open source

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

Installation

Install the X Longform Post 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.
  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/ericosiu/ai-marketing-skills.git /tmp/ai-marketing-skills
mkdir -p .claude/skills
cp -r /tmp/ai-marketing-skills/x-longform-post .claude/skills/x-longform-post
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable X Longform Post 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 X Longform Post 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 X Longform Post 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.

X Long-Form Post Writer

Write posts for X in your founder/CEO's authentic voice. Every post should feel like a real person wrote it — not a content team, not a bot.

See references/founder-voice.md for the founder voice template. Customize it with your founder's real patterns.


Voice Rules

  • Simple declarative sentences. Short paragraphs.
  • Contrarian angles backed by specific numbers and real examples.
  • No corporate speak. No "I'm excited to share." No emoji in body text.
  • Open with a hook that stops the scroll — contrarian claim, surprising number, or uncomfortable truth.
  • End with a payoff: uncomfortable truth → "worth it" resolution.

Structure

  1. Hook (1-2 lines) — Contrarian claim or surprising stat
  2. Setup (2-3 lines) — Establish credibility/context fast
  3. Sections — Each follows: problem → what actually happened → fix/lesson
  4. ASCII diagram — At least one per post (see below)
  5. Uncomfortable truth — The insight most people avoid
  6. Payoff — Was it worth it? Yes, and here's why.

ASCII Diagrams (MANDATORY)

Every post MUST include at least one ASCII diagram in a code block. These break up walls of text and make complex systems visual.

Use box-drawing characters:

┌─────────┐    ┌─────────┐    ┌─────────┐
│  Input  │───►│ Process │───►│ Output  │
└─────────┘    └─────────┘    └─────────┘

Diagram types to use:

  • System architecture — boxes connected by arrows showing how components relate
  • Before/after — side-by-side comparison of old vs new state
  • Flow diagrams — decision trees, pipelines, sequences
  • Hierarchy — org charts, priority stacks, dependency trees
  • Metrics — simple bar charts using block characters (█ ▓ ░)

Keep diagrams:

  • Under 40 chars wide (mobile rendering)
  • Simple enough to parse in 3 seconds
  • Labeled clearly — no ambiguous boxes

Example — system flow:

Input (60s)
┌──────────┐
│ Process  │ step 1
└────┬─────┘
┌──────────┐
│ Dispatch │ step 2
└────┬─────┘
  Output

Example — metrics visualization:

Performance by Category:
Category A   ████████████ 100%
Category B   ████████░░░░  67%
Category C   ░░░░░░░░░░░░   0%

Formatting for X

  • X articles support markdown-like formatting in long posts
  • Use code blocks (```) for ASCII art — they render in monospace on X
  • Bold with asterisks where supported
  • Keep paragraphs to 1-3 sentences max
  • Line breaks between every thought

Content Sources

Pull from real data whenever possible:

  • Real metrics from your business
  • Specific incidents and debugging stories
  • Actual decisions made and why

Never fabricate metrics. Use real numbers or don't use numbers.


Analytics Feedback Loop

If X/Twitter analytics are available, use them before drafting and after publishing.

Before drafting:

  • Pull recent post performance for similar topics and formats.
  • Compare impressions, engagement rate, replies, reposts, bookmarks, profile clicks, follower delta, post length, hook style, proof number, CTA type, and topic bucket.
  • Prefer hooks and structures that have actually worked. Do not worship cleverness. Cleverness without distribution is theater with better fonts.

After publishing:

  1. Log post URL/id, publish time, hook, title, proof number, structure, CTA, and topic bucket.
  2. Pull analytics after the readback window.
  3. Compare against a baseline cohort of similar posts.
  4. Patch the title formulas, hook patterns, CTA rules, or section structure only if the candidate beats baseline or produces a clearly better audience signal.

Judgment metrics:

  • impressions
  • engagement rate
  • replies
  • reposts
  • bookmarks
  • profile clicks
  • follower delta
  • quality of replies

Every promoted format change should include a baseline window, candidate window, metric winner, caveats, and rollback rule.


Input Format

User provides:

  • Topic: What the post is about
  • Angle: The contrarian or unique framing
  • Source material: Real examples, data, incidents (optional)

Output

Deliver the complete post ready to paste into X. No preamble, no "here's your post" — just the post itself.

If the post would work better as a thread (>1500 chars), split into numbered tweets with each one standalone valuable.


Reference

See references/founder-voice.md for extended voice examples and patterns. Customize with your founder's real voice.


Humanizer Checklist (MANDATORY — Run Before Finalizing)

Before returning any X article draft, check against ALL 24 humanizer patterns. If any pattern is detected, rewrite that section.

For the full humanizer expert scoring rubric, see: ../content-ops/experts/humanizer.md

CRITICAL: No "Not X, It's Y" Constructions

Never write "This is not X. This is Y." or "That is not X, that is Y." or any variant. These are the #1 AI slop tell. Say what something IS directly. Don't define by negation.

Banned Vocabulary (never use these)

delve, tapestry, landscape (abstract), leverage, multifaceted, nuanced, pivotal, realm, robust, seamless, testament, transformative, underscore (verb), utilize, whilst, keen, embark, comprehensive, intricate, commendable, meticulous, paramount, groundbreaking, innovative, cutting-edge, synergy, holistic, paradigm, ecosystem, Additionally, crucial, enduring, enhance, fostering, garner, highlight (verb), interplay, intricacies, showcase, vibrant, valuable, profound, renowned, breathtaking, nestled, stunning

Pattern Checklist

  1. ☐ No significance inflation ("pivotal moment", "stands as", "is a testament")
  2. ☐ No undue notability claims (listing media mentions without context)
  3. ☐ No superficial -ing phrases ("highlighting", "showcasing", "underscoring")
  4. ☐ No promotional language ("boasts", "vibrant", "profound", "commitment to")
  5. ☐ No vague attributions ("Experts believe", "Industry reports suggest")
  6. ☐ No formulaic "despite challenges... continues to" structures
  7. ☐ No AI vocabulary clustering (multiple banned words in one paragraph)
  8. ☐ No copula avoidance ("serves as", "stands as" — just use "is")
  9. ☐ No negative parallelisms ("It's not just X, it's Y")
  10. ☐ No rule-of-three forcing (triple adjectives, triple parallel clauses)
  11. ☐ No synonym cycling (varying terms for the same thing unnecessarily)
  12. ☐ No false ranges ("from X to Y" on no meaningful scale)
  13. ☐ No em dash overuse (max 1 per 200 words)
  14. ☐ No mechanical boldface emphasis
  15. ☐ No inline-header vertical lists (bolded label + colon pattern)
  16. ☐ No Title Case In Every Heading
  17. ☐ No emoji decoration on headings/bullets
  18. ☐ No curly quotation marks
  19. ☐ No collaborative artifacts ("I hope this helps", "Let me know")
  20. ☐ No knowledge-cutoff disclaimers
  21. ☐ No sycophantic tone ("Great question!")
  22. ☐ No filler phrases ("In order to", "It is important to note")
  23. ☐ No excessive hedging ("could potentially", "might have some effect")
  24. ☐ No generic positive conclusions ("The future looks bright", "Exciting times ahead")

Humanizer Scoring

Start at 100. Deduct points per the rubric in ../content-ops/experts/humanizer.md.

  • 90-100: Human-sounding. Clean. Ship it.
  • 70-89: Minor AI tells. Quick fixes needed.
  • 50-69: Obvious AI patterns. Significant rewrite needed.
  • 0-49: Full rewrite.

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 X Longform Post AI skill do?

Write long-form X (Twitter) posts and threads in a founder/CEO voice. Use when drafting X articles, long tweets, thought leadership threads, or viral content. Produces contrarian, data-backed posts with ASCII diagrams and code block visuals. Includes mandatory AI humanizer pass (24-pattern detector) before finalizing.

Why use X Longform Post on TypingMind?

Because you install it once and use it with any model. X Longform Post 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 X Longform Post in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/ericosiu/ai-marketing-skills/tree/main/x-longform-post. 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 X Longform Post?

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 X Longform Post?

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

Is the X Longform Post AI skill free?

Yes. It is published on GitHub by ericosiu 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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