Agent skill · Audited from source

Category Designer

skill · Affitor/affiliate-skillsMIT licenceAudited 15 Oct 2026 · source 2515ce9634da

★ 713pushed 2 days agoversion 1.0
✓SAFEGrade B · 89/100 · 15 Oct 2026 · 2515ce9
713repo stars · whole Affitor/affiliate-skills

Is it safe? Yes — SAFE, grade B (89/100). We read this skill's source at commit 2515ce9634da and found no filesystem, network or shell access and no hard-coded secrets. What it does: Define a new category where your product wins by default. Reframe the buying decision. Triggers on: "create a category", "category design", "define my category", "category of one", "reframe the market", "position as…

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ModelsAtlas. “Category Designer (Affitor/affiliate-skills)”. Retrieved 15 Oct 2026. https://modelsatlas.com/skills/affitor/category-designer

Trust audit

Audit 0.4.1 · source read 15 Oct 2026

Trust score89/100✓SAFE B
0 critical0 high0 medium0 low0 info

SAFE means nothing in the source contradicts what the skill says it does. Grade B is shared by 13,985 of 14,816 audited skills.

What the source does

  • FilesystemNone observedNo reads or writes in the source
  • NetworkNone observedNo outbound calls in the source
  • ShellNone observedNo commands run in the source
  • DependenciesPinnedNothing floats
  • SecretsNone foundNo keys in source

Five audit layers

LayerWhat we checkResultFindings
L0 ProvenanceRepo owner, licence, archive status, activityPASS0
L1 Static sourceSecrets, path traversal, supply chain, hidden codeNA0
L2 InstructionsPrompt injection, authority framing, hidden directivesPASS0
L3 InventoryThe files and declarations match the sourcePASS0
L4 SandboxRun in isolation and watch behaviourSKIPPED why0

Gates applied: no behavioural pass.

Findings (0)

No findings at any severity. We re-audit when the source changes.

Audit 0.4.1 · source sha 2515ce9634da · 15 Oct 2026Report an issue or request a re-scan

Provenance

Who published it, and what the verdict is pinned to

  • PublisherAffitor GitHub organizationOwner of the repository this skill is read from
  • Source folderAffitor/affiliate-skills/skills/meta/category-designerThe exact folder we audited
  • LicenceMITAs the repository states it
  • Commit pinned for this verdict2515ce9634daA new audit runs when the source changes
  • Repository statusNot archivedLast push 2 days ago
  • Sandboxed runNot runSkills are read, not executed; layer L4 is skipped

What it tells the agent

Full source on GitHub ↗

Its description: Define a new category where your product wins by default. Reframe the buying decision. Triggers on: "create a category", "category design", "define my category", "category of one", "reframe the market", "position as…

---
name: category-designer
description: >
  Define a new category where your product wins by default. Reframe the buying decision.
  Triggers on: "create a category", "category design", "define my category",
  "category of one", "reframe the market", "position as category king",
  "new category", "category creation", "own a category", "category strategy",
  "competitive positioning", "strategic positioning", "market reframing",
  "be the only option", "change the buying criteria", "category king".
license: MIT
version: "1.0.0"
tags: ["affiliate-marketing", "meta", "planning", "compliance", "category-design", "positioning"]
compatibility: "Claude Code, ChatGPT, Gemini CLI, Cursor, Windsurf, OpenClaw, any AI agent"
metadata:
  author: affitor
  version: "1.0"
  stage: S8-Meta
---

# Category Designer

Define a new category where your recommended product wins by default. Instead of competing on existing criteria ("best AI video tool"), reframe the buying decision so your product IS the category ("the AI avatar platform for non-creators"). Category kings capture 76% of category economics — this is the strategic meta-skill that makes all downstream marketing easier.

## Stage

S8: Meta — This is cross-cutting strategic thinking, like `funnel-planner`. It operates above individual skills and reframes the entire marketing approach. Use it before creating content, offers, or landing pages.

## When to Use

- User is competing in a crowded market and needs to stand out
- User asks about "positioning", "category", "differentiation", "reframing"
- User says "category of one", "own a category", "change the game"
- After `monopoly-niche-finder` to formalize the niche into a named category
- After `purple-cow-audit` to amplify what makes a product remarkable
- Before creating content/offers to ensure consistent category messaging

## Input Schema

```yaml
product: object               # REQUIRED — the product to position
  name: string
  description: string
  key_features: string[]
  pricing: string
  current_category: string    # What category it's currently in
                              # e.g., "AI video tools", "email marketing platforms"

competitors: string[]         # OPTIONAL — main competitors
                              # Default: auto-researched

your_audience: string         # OPTIONAL — your specific audience
                              # Default: inferred from product

monopoly_niche: string        # OPTIONAL — from monopoly-niche-finder
                              # Default: none
```

**Chaining from S1 monopoly-niche-finder**: Use `monopoly_niche.intersection` as the starting point for category design.

**Chaining from S1 purple-cow-audit**: Use `remarkable_angles` to identify category-defining features.

## Workflow

### Step 1: Analyze Current Category

1. `web_search`: `"best [current_category]"` — see how the market is currently framed
2. Identify the default buying criteria (price, features, ease of use, etc.)
3. Map where the product wins AND loses on current criteria
4. Identify: what does this product do that competitors DON'T even try?

### Step 2: Find the Category Seed

The category seed is the intersection of:
- What the product does uniquely well
- What a specific audience cares about most
- What competitors ignore or can't do

Formula: `[Unique capability] + [Specific audience] + [Outcome they care about]`

Example: "AI avatar platform" + "for non-creators" + "who need professional video content"
= **"AI Video Content Platform for Non-Creators"**

### Step 3: Design the Category

Define:

1. **Category name** — 3-6 words, self-explanatory, memorable
2. **Category POV** — "The old way was [X]. The new way is [Y]. [Product] is the [category name]."
3. **Buying criteria** — new criteria where your product automatically wins
4. **Lightning strike** — the "aha moment" that makes the category real (a stat, story, or demonstration)
5. **Category ecosystem** — what other products/services exist in YOUR category (you define the landscape)

### Step 4: Create Category Assets

Produce:
1. **Category narrative** — 2-3 paragraph story of why this category exists now
2. **Comparison reframe** — how to redirect "Product X vs Product Y" to "Old category vs New category"
3. **Content angles** — 5-10 content pieces that educate the market about the category
4. **Objection handling** — "Isn't this just [old category]?" → "No, because..."

### Step 5: Self-Validation

- [ ] Category name is self-explanatory to someone hearing it for the first time
- [ ] Product genuinely wins on the new buying criteria (not forced)
- [ ] Category is big enough to matter but specific enough to own
- [ ] Narrative is compelling and truthful (not spin)
- [ ] Content angles are substantial enough for 6+ months of content

## Output Schema

```yaml
output_schema_version: "1.0.0"
category:
  name: string                  # The new category name
  pov: string                   # Point of view statement
  product_name: string
  old_category: string          # What it was before
  buying_criteria: string[]     # New criteria where product wins
  lightning_strike: string      # The "aha" proof point

  narrative: string             # Category story (2-3 paragraphs)
  comparison_reframe: string    # How to redirect comparisons

  content_angles: string[]     # Content pieces that establish the category
  objection_responses: object[] # Objection handling
    - objection: string
      response: string

  category_definition: string  # For chaining — the full category definition
  category_framing: string     # For chaining — positioning statement

chain_metadata:
  skill_slug: "category-designer"
  stage: "meta"
  timestamp: string
  suggested_next:
    - "grand-slam-offer"
    - "monopoly-niche-finder"
    - "affiliate-blog-builder"
    - "landing-page-creator"
```

## Output Format

```
## Category Design: [Category Name]

### The Shift
**Old category:** [what it was]
**New category:** [what it is now]
**Why 

Excerpt, first 6,000 characters of SKILL.md, verbatim from the audited commit. It is text from someone else’s repository, quoted so you can judge it before your agent reads it.

Install

Pinned to the audited commit 2515ce9

Download folder ↗
git clone https://github.com/Affitor/affiliate-skills
git -C affiliate-skills checkout 2515ce9634da

The author documents no install command, so this uses the repository directly. Our verdict covers commit 2515ce9634da only.

Works in which agents?

What its own text says, not a test

AgentStatusMore
Claude CodeMentioned in its text, not testedSkills for Claude Code · About Claude Code
CursorMentioned in its text, not testedSkills for Cursor · About Cursor
Gemini CLIMentioned in its text, not testedSkills for Gemini CLI · About Gemini CLI
OpenClawMentioned in its text, not testedSkills for OpenClaw · About OpenClaw
WindsurfMentioned in its text, not testedSkills for Windsurf · About Windsurf
“Mentioned” means the skill’s text names the agent. We have not run it there.

Audit history

Every audit, every source change

  1. ✓SAFE B 89 / 100

    first audit · source 2515ce9634da

README badge

For maintainers · shows the latest audit

ModelsAtlas: SAFE BMODELSATLASSAFE · B
[![ModelsAtlas: SAFE B](https://modelsatlas.com/skills/affitor/category-designer/badge.svg)](https://modelsatlas.com/skills/affitor/category-designer/)

The badge shows our verdict and grade for this skill, and links back to this page. It changes when the audit does.

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Add this badge to your README

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Questions about Category Designer

What does the Category Designer skill do?
50 AI agent skills for affiliate marketing. Research trending content, write data-backed posts, generate infographics, build landing pages, deploy — full flywheel with social intelligence. Works with Claude Code, Pi, ChatGPT, Gemini, Cursor, Windsurf, any AI.
Is Category Designer safe to install?
The audit found nothing in the source that contradicts what it says it does, and graded it B (89/100). Grade A is held back for packages that have also passed a sandboxed behavioural run, which is why a clean skill reads B.
What can Category Designer access on my machine?
The audit observed no filesystem, network or shell use at all in its source.
Which assistants does Category Designer work with?
Its documentation mentions claude-code, cursor, gemini-cli, openclaw and windsurf. That is what the text claims, not a compatibility test we ran.
How current is this page?
The grade is for one exact copy of the source (2515ce9634da), read on 2026-10-15. The repository is watched, and a new audit runs when it changes — this is the first audit.

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