how-to-tutorial-writer

how-to-tutorial-writer is a skill for Claude Code from Affitor/affiliate-skills. It costs 112 tokens per session (3,496 once invoked), scanned A, original, MIT.

Instructions for writing step-by-step how-to articles that solve a practical problem and naturally mention a recommended product. Affiliate products are tools promoted through links that may earn a commission.

In plain words
What is it for?
Use it to write beginner guides, tutorials, walkthroughs, and articles about completing a task with a particular product. It helps define the reader, goal, steps, and role of the recommended tool.
Why use it?
They provide a repeatable article structure so readers get useful instructions before encountering a product recommendation. This is intended for tutorial content that can attract search traffic and support product sales.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: mentions Claude Code; built for openclaw; mentions Gemini CLI.

Part of the blog-skills plugin — 4 skills shipped together

Good fit Use it to write beginner guides, tutorials, walkthroughs, and articles about completing a task with a particular product. It helps define the reader, goal, steps, and role of the recommended tool.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/affitor/affiliate-skills/how-to-tutorial-writer
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 Affitor/affiliate-skills --skill how-to-tutorial-writer
Clone the repo
git clone --depth 1 https://github.com/Affitor/affiliate-skills

Made for: Claude Code.

Or install blog-skills, the plugin that ships this one along with the rest of its 4 skills.

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 how-to-tutorial-writer

README.md
[![agentmods](https://agentmods.dev/badge/skills/affitor/affiliate-skills/how-to-tutorial-writer/github.svg)](https://agentmods.dev/skills/affitor/affiliate-skills/how-to-tutorial-writer)
Your own site
<a href="https://agentmods.dev/skills/affitor/affiliate-skills/how-to-tutorial-writer"><img src="https://agentmods.dev/badge/skills/affitor/affiliate-skills/how-to-tutorial-writer/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 how-to-tutorial-writer

Your own site · 80×15
<a href="https://agentmods.dev/skills/affitor/affiliate-skills/how-to-tutorial-writer"><img src="https://agentmods.dev/badge/skills/affitor/affiliate-skills/how-to-tutorial-writer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 112 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,496 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 $0.00112 $0.03496
Opus 5 $0.00056 $0.01748
Sonnet 5 $0.00022 $0.00699
Haiku 4.5 $0.00011 $0.00350

Measured 9d ago against content hash 65b7766236b6, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

how-to-tutorial-writer 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 9d 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.

Origin

Copies of this mod

2 near-identical copies found in the catalogue:

skills/blog/how-to-tutorial-writer/SKILL.md · 350 lines

How it starts

The opening of the file, as written. The whole thing — 350 lines — stays where its author put it; the contents beside it link to each section on GitHub.

How-To Tutorial Writer

Write practical, step-by-step tutorial blog posts that solve a real reader problem and naturally recommend affiliate products as the best tool for the job. Uses the "problem → solution → tool" pattern: establish what the reader wants to do, show them exactly how to do it, and position the affiliate product as the right instrument for each step.

When to Use

  • User wants to create educational content that drives affiliate conversions indirectly
  • User says "how to", "tutorial", "guide", "walkthrough", "step by step"
  • User wants to rank for "how to [task]" keywords (high traffic, lower competition than "best" keywords)
  • User has a product that is best understood through demonstration, not just description
  • User wants to build authority and trust in a niche before making a sale

Workflow

Step 1: Define the Tutorial Goal

Parse the request to identify:

  • The task: what the reader wants to accomplish (e.g., "create AI videos for YouTube")
  • The tool: which affiliate product enables the task (e.g., HeyGen)
  • The audience: who is asking this question (beginner / intermediate / advanced)
  • The end state: what the reader will have built or achieved by the end

If the task is vague ("write a tutorial about HeyGen"), default to the most popular use case for that tool — search for it: "[product name] tutorial" OR "how to use [product name]" — pick the highest-traffic query.

Tutorial types — detect from user's phrasing:

Signal Type Format
"How to get started", "beginners guide", "first time" quickstart 5-8 steps, 1,500-2,000 words
"Step by step", "complete guide", "full tutorial" deep-dive 8-15 steps, 2,500-3,500 words
"How to [specific feature]" feature-focus 5-8 steps on one feature, 1,500-2,000 words
"How to [goal] without [product]" → redirect to product problem-solution 6-10 steps, 2,000-2,500 words

Step 2: Research the Tutorial Content

Use web_search to gather:

  1. The actual step-by-step process for accomplishing the task
  2. Common mistakes or gotchas beginners encounter
  3. Official documentation or help articles for the product
  4. What the top-ranking tutorials already cover (identify gaps)

Read the full file on GitHub · 350 lines

Files

What ships with it

1 file 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. 9d ago First seen · 350 lines · 112 tokens per session scan A 65b7766236b6

Subscribe to this mod's changes

how-to-tutorial-writer is a skill published in the GitHub repository Affitor/affiliate-skills (652 stars, last pushed 3d ago), licensed MIT. It adds 112 tokens to every session and 3,496 once invoked, about $0.0006 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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