Listicle Generator logo

Listicle Generator

Organization
Affitor
listicle-generator

Write "Top N best..." listicle articles for affiliate marketing with mini-reviews, pricing, pros/cons, and CTAs per entry. Triggers on: "write a best of list", "top 10 [category] tools", "best [product category] article", "roundup post", "listicle about [category]", "write a top tools article", "best [N] alternatives to [product]", "product roundup", "write a tools comparison list", "best software for [use case]", "top picks for [category]".

Overview

PublisherAffitor
Repositoryaffiliate-skills
Skill namelisticle-generator
Stars
705
Forks
209
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 Affitor on GitHub. Read the source before you install it.

Installation

Install the Listicle Generator 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/Affitor/affiliate-skills/tree/main/skills/blog/listicle-generator
  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/Affitor/affiliate-skills.git /tmp/affiliate-skills
mkdir -p .claude/skills
cp -r /tmp/affiliate-skills/skills/blog/listicle-generator .claude/skills/listicle-generator
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Listicle Generator 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 Listicle Generator 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 Listicle Generator 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.

Listicle Generator

Write "Top N Best [Category]" roundup articles that rank on Google, capture featured snippets, and drive affiliate conversions across multiple products. Each list entry is a self-contained mini-review with features, pricing, pros/cons, audience fit, and a CTA. The article is structured to win both the featured snippet and the "People Also Ask" box.

When to Use

  • User wants to cover an entire product category with multiple affiliate links
  • User says "best", "top", "roundup", "list of", or mentions a number with a category
  • User wants to capture high-volume generic keywords ("best email marketing tools") vs. specific product searches
  • User has multiple affiliate programs in the same category and wants one article to cover them all
  • User wants an article format that benefits from regular updates (add/remove products as market evolves)

Workflow

Step 1: Determine List Parameters

Parse the user's request for:

  • Category: what type of product (e.g., "email marketing tools", "AI video generators")
  • List size (N): explicitly stated number, or auto-select based on category depth
    • Niche/specialized categories: 5-7 products
    • Broad/competitive categories: 7-10 products
    • Very broad (e.g., "project management tools"): 10-12 products
  • Target audience: inferred from category + any context clues (beginners, enterprises, specific industries)
  • Year: always use current year in the title for freshness signal

If no affiliate product is specified:

  • Ask: "Which product are you promoting? I'll feature it prominently in the list."
  • If user says to proceed anyway, generate a balanced list and note where they should insert their affiliate link.

Step 2: Research the Product Landscape

Use web_search to build the product list:

  1. Seed query: "best [category] tools [year]" site:g2.com OR site:capterra.com OR site:trustradius.com
  2. Validate with traffic: "best [category]" — check autocomplete for common phrasings
  3. Find affiliate programs: "[category] affiliate program" — identify which products offer commissions

For each candidate product, gather:

  • Product name and one-line description
  • Starting price and free plan availability
  • G2/Capterra rating (if available)
  • The one thing it does best (unique angle)
  • Who it's primarily designed for

Affiliate prioritization rules:

  • Position the user's affiliate product at #1 or #2 (never lower than #3 unless it genuinely cannot be defended in the top 3)
  • #1 position gets the most clicks — use it for the highest-commission or best-converting product
  • If the user has multiple affiliate programs, spread them in positions 1, 2, and 4
  • Non-affiliate products fill the remaining slots to make the list credible and balanced

Step 3: Plan the Article Structure

Map out every section before writing:

Article structure:

  1. Title (with year, number, category)
  2. FTC disclosure
  3. Introduction (150-200 words)
  4. "At a Glance" summary table
  5. Evaluation criteria (H2)
  6. Individual product entries × N (H2 each)
  7. Comparison table (all products × key dimensions)
  8. How to Choose (H2)
  9. FAQ (H2)
  10. Final Recommendation (H2)

Per-entry structure (400-600 words each):

  • H2: [Rank]. [Product Name] — [One-line Value Prop]
  • Opening paragraph: what it is, who made it, why it's on this list
  • Key features section (3-5 bullet points)
  • Pricing table (free / starter / pro / enterprise)
  • Pros list (4-5 bullets)
  • Cons list (2-3 bullets — be honest, builds trust)
  • Best for: one sentence naming the ideal user
  • Affiliate CTA button: [Try [Product] free →](url)

Step 4: Write the Full Article

Title formula: [N] Best [Category] Tools in [Year] (Ranked and Reviewed) Alternative: Best [Category] Software: Top [N] Picks for [Year]

Introduction (150-200 words):

  • Open with the core problem this category solves
  • Mention how many tools you evaluated and your selection criteria
  • Name-drop 2-3 products from the list to signal comprehensiveness
  • End with a transition: "Here are the [N] best options I found."

"At a Glance" Table (immediately after intro, captures featured snippet):

| Tool | Best For | Starting Price | Free Plan |
|---|---|---|---|
| [Product 1] | [Use case] | $X/mo | ✅ |
| [Product 2] | [Use case] | $Y/mo | ❌ |

Evaluation Criteria (H2, before the list): List the 4-6 criteria used to rank products. This builds credibility and explains why your #1 pick is #1. Example criteria: ease of use, feature depth, pricing value, customer support quality, integration ecosystem, scalability.

Individual Product Entries: Write each entry following the per-entry structure above. Vary the opening sentence — don't start every entry the same way. Include specific, verifiable details (actual feature names, real pricing tiers, concrete limitations) — not generic praise.

Master Comparison Table: After all product entries, include a comprehensive feature matrix:

| Feature | [P1] | [P2] | [P3] | [P4] | [P5] |
|---|---|---|---|---|---|
| Free plan | ✅ | ❌ | ✅ | ⚠️ | ✅ |
| [Key feature] | ✅ | ✅ | ❌ | ✅ | ❌ |
| [Key feature] | ⭐ Best | Good | Limited | Good | Basic |
| Starting price | $X | $Y | $Z | $A | Free |

How to Choose (H2, 300-400 words): A decision framework for readers who are still unsure after reading the list:

  • "If you're a beginner with a tight budget → [Product X]"
  • "If you need [specific feature] → [Product Y]"
  • "If you're scaling a team → [Product Z]"
  • "If you're migrating from [common competitor] → [Product A]"

FAQ Section (5-7 questions):

  • "What is the best [category] tool?"
  • "What is the cheapest [category] tool?"
  • "What [category] tool has the best free plan?"
  • "Is [top product] worth it?"
  • "How do I choose [category] software?"

Final Recommendation (H2):

  • Restate the #1 pick with a 2-sentence reason
  • Give a backup pick for a different audience
  • Strong CTA: **Start with [Product] — it's free to try.** [Get started →](affiliate_url)

Step 5: Format Output

Part 1: SEO Metadata

---
SEO METADATA
---
Title: [title with year and number]
Slug: best-[category-slug]-tools
Meta Description: [150-160 chars, include number + year + top product name]
Target Keyword: best [category] tools
Secondary Keywords: [category] software, [product 1] review, [product 2] alternatives, top [category] [year]
Word Count: [actual]
Format: listicle
Products: [N]
---

Part 2: Full Article Complete markdown ready to publish.

Part 3: Supplementary Data

  • FAQ questions for schema markup
  • Image suggestions (product screenshots, comparison screenshots)
  • All products with affiliate URLs flagged
  • Update reminder: "This article should be refreshed every 6 months to keep rankings."

Input Schema

yaml
category:                   # REQUIRED — product category to cover
  name: string              # e.g., "AI video generators", "email marketing platforms"
  tags: string[]            # Optional — helps with research targeting

primary_product:            # OPTIONAL but recommended — the affiliate product to feature at #1
  name: string
  description: string
  reward_value: string
  url: string               # Affiliate link
  reward_type: string
  cookie_days: number
  tags: string[]

additional_affiliates:      # OPTIONAL — other affiliate products to include in the list
  - name: string
    url: string
    reward_value: string

list_size: number           # OPTIONAL — how many products (5-12). Default: auto-select.

target_audience: string     # OPTIONAL — "beginners" | "enterprise" | "freelancers" | "agencies"
                            # Default: inferred from category

year: number                # OPTIONAL — year for title/freshness. Default: current year.

target_keyword: string      # OPTIONAL — override default keyword
tone: string                # OPTIONAL — "conversational" | "professional". Default: "conversational"

Step 6: Self-Validation

Before presenting output, verify:

  • FTC disclosure appears before product entries
  • "At a Glance" table present with Tool/Best For/Price/Free Plan columns
  • Primary affiliate product ranked #1-3 (never buried lower)
  • Each entry has: key features, pricing, pros, cons, "best for" sentence
  • Title includes current year for recency signal

If any check fails, fix the output before delivering. Do not flag the checklist to the user — just ensure the output passes.

Output Schema

yaml
output_schema_version: "1.0.0"  # Semver — bump major on breaking changes
article:
  title: string
  slug: string
  meta_description: string
  target_keyword: string
  format: "listicle"
  content: string
  word_count: number
  product_count: number

products_featured:
  - name: string
    url: string
    rank: number            # Position in the list (1 = top)
    role: string            # "affiliate-primary" | "affiliate-secondary" | "editorial"
    reward_value: string

seo:
  secondary_keywords: string[]
  at_a_glance_table: string   # Markdown table — can be extracted for featured snippet
  faq_questions:
    - question: string
      answer: string
  image_suggestions:
    - description: string
      alt_text: string
      placement: string

update_schedule:
  recommended_frequency: string   # "every 6 months" for most categories
  items_to_check: string[]        # What to verify on next update

Output Format

Present as three sections:

  1. SEO Metadata — fenced block for copy-paste into blog CMS
  2. Article — full markdown, immediately publishable
  3. Supplementary — FAQ schema, image suggestions, affiliate URLs, update notes

Target word count: 3,000-5,000 words depending on list size (aim for 400-500 words per product entry plus structural sections).

Error Handling

  • No category provided: "What category of products should this listicle cover? For example: 'best email marketing tools' or 'top AI writing assistants'."
  • No affiliate product specified: Generate a balanced editorial list. Flag in output: "Affiliate link not set — insert your tracking URL for [top pick] before publishing."
  • Category too broad ("best software"): Narrow it. Ask: "That's very broad — can you narrow it down? For example: 'best project management software for small teams'."
  • Category too niche (fewer than 5 good products exist): Reduce list size and be transparent: "Only 5 strong options exist in this niche — I've included all of them."
  • Product research returns low-quality results: Use web_search with 3 different query variations before giving up. Fallback: base entries on official product pages + G2 reviews.

Examples

Example 1: Standard category listicle User: "Write a top 10 best AI video tools article" Action: category="AI video generators", list_size=10, research top tools, position user's affiliate at #1, write 4,500-word listicle targeting "best ai video tools [year]".

Example 2: Niche with specific audience User: "Best email marketing tools for e-commerce, I'm promoting Klaviyo" Action: category="email marketing for e-commerce", primary_product=Klaviyo, target_audience="e-commerce store owners", list_size=7, write article with Klaviyo at #1.

Example 3: Alternatives format User: "Write a 'best alternatives to Mailchimp' article" Action: Treat as listicle where Mailchimp is the incumbent being replaced. Title: "7 Best Mailchimp Alternatives in [Year] (Cheaper + More Powerful)". Position user's affiliate at #1 as top alternative.

Example 4: Chained from S1 User: "Now write a roundup post for the category" Context: S1 returned Semrush in the SEO tools category Action: category=SEO tools, primary_product=Semrush, auto-select list_size=8, write "Best SEO Tools [year]" with Semrush at #1.

References

  • shared/references/ftc-compliance.md — FTC disclosure text. Read before Step 4.
  • shared/references/affiliate-glossary.md — Terminology reference.
  • shared/references/flywheel-connections.md — master flywheel connection map

Flywheel Connections

Feeds Into

  • landing-page-creator (S4) — featured products for landing pages
  • content-pillar-atomizer (S2) — listicle as pillar content to atomize
  • internal-linking-optimizer (S6) — new listicle needs internal links

Fed By

  • affiliate-program-search (S1) — recommended_program as primary product
  • keyword-cluster-architect (S3) — commercial intent clusters for listicle topics

Feedback Loop

  • seo-audit (S6) tracks listicle rankings → identify which list formats and sizes rank best

Quality Gate

Before delivering output, verify:

  1. Would I share this on MY personal social?
  2. Contains specific, surprising detail? (not generic)
  3. Respects reader's intelligence?
  4. Remarkable enough to share? (Purple Cow test)
  5. Irresistible offer framing? (if S4 offer skills ran)

Any NO → rewrite before delivering.

yaml
chain_metadata:
  skill_slug: "listicle-generator"
  stage: "blog"
  timestamp: string
  suggested_next:
    - "landing-page-creator"
    - "content-pillar-atomizer"
    - "internal-linking-optimizer"

Frequently asked questions

What does the Listicle Generator AI skill do?

Write "Top N best..." listicle articles for affiliate marketing with mini-reviews, pricing, pros/cons, and CTAs per entry. Triggers on: "write a best of list", "top 10 [category] tools", "best [product category] article", "roundup post", "listicle about [category]", "write a top tools article", "best [N] alternatives to [product]", "product roundup", "write a tools comparison list", "best software for [use case]", "top picks for [category]".

Why use Listicle Generator on TypingMind?

Because you install it once and use it with any model. Listicle Generator 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 Listicle Generator in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Affitor/affiliate-skills/tree/main/skills/blog/listicle-generator. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Listicle Generator?

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 Listicle Generator?

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

Is the Listicle Generator AI skill free?

Yes. It is published on GitHub by Affitor 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.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇