x-longform-post

x-longform-post is a skill for Claude Code, Codex from ericosiu/ai-marketing-skills. It costs 70 tokens per session (1,898 once invoked), scanned A, original, MIT.

A writing guide for creating long posts and threaded posts on X, formerly known as Twitter, in a founder or chief executive's voice. It specifies the structure, tone, examples, and visual text elements the posts should contain.

In plain words
What is it for?
Use it to draft thought-leadership posts, long-form X articles, and threads with hooks, concrete examples, ASCII diagrams, and a clear ending.
Why use it?
It gives a consistent format for turning ideas into readable posts without corporate language or a generic automated tone. It also requires a final check for patterns that make writing seem machine-generated.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to draft thought-leadership posts, long-form X articles, and threads with hooks, concrete examples, ASCII diagrams, and a clear ending.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/ericosiu/ai-marketing-skills/x-longform-post
About the project

AI Marketing Skills is a collection of open-source workflows that help AI coding agents handle marketing and sales work, including growth experiments, pipeline management, content operations, outbound outreach, SEO, and finance analysis. It is intended for marketing and sales teams that want reusable agent-driven processes. The catalogue entries package these workflows as skills for compatible coding agents.

ericosiu/ai-marketing-skills · 3,521 stars · on GitHub · singlegrain.com

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add ericosiu/ai-marketing-skills --skill x-longform-post
Clone the repo
git clone --depth 1 https://github.com/ericosiu/ai-marketing-skills

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for x-longform-post

README.md
[![agentmods](https://agentmods.dev/badge/skills/ericosiu/ai-marketing-skills/x-longform-post/github.svg)](https://agentmods.dev/skills/ericosiu/ai-marketing-skills/x-longform-post)
Your own site
<a href="https://agentmods.dev/skills/ericosiu/ai-marketing-skills/x-longform-post"><img src="https://agentmods.dev/badge/skills/ericosiu/ai-marketing-skills/x-longform-post/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for x-longform-post

Your own site · 80×15
<a href="https://agentmods.dev/skills/ericosiu/ai-marketing-skills/x-longform-post"><img src="https://agentmods.dev/badge/skills/ericosiu/ai-marketing-skills/x-longform-post.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 70 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,898 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00070 $0.01898
Opus 5 $0.00035 $0.00949
Sonnet 5 $0.00014 $0.00380
Haiku 4.5 $0.00007 $0.00190

Measured 12d ago against content hash 0105e7347343, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

x-longform-post scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

x-longform-post/SKILL.md · 203 lines

How it starts

The opening of the file, as written. The whole thing — 203 lines — stays where its author put it; the contents beside it link to each section on GitHub.

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

Read the full file on GitHub · 203 lines

Files

What ships with it

4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 12d ago First seen · 203 lines · 70 tokens per session scan A 0105e7347343

Subscribe to this mod's changes

x-longform-post is a skill published in the GitHub repository ericosiu/ai-marketing-skills (3,521 stars, last pushed 4d ago), licensed MIT. It adds 70 tokens to every session and 1,898 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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