Template

Skill Gingg7260/affiliate-skills/template

Automate affiliate marketing with 45 AI skills for research, content, pages, tracking, and optimization across any AI agent

Install

npx -y skills add Gingg7260/affiliate-skills --skill template

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

5 stars5 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

What its author says it does

Copied from the file, not written here

Replace with when the AI should activate this skill. Be pushy — cover multiple phrasings so the AI activates for a wide range of user prompts.

The file declares its own license as MIT. That is the author’s claim about this one file, and it is not the same thing as the license GitHub reports for the repository, which is listed with the other numbers below.

SKILL.md

3.4 KB, as published. Nobody here has run it

Your Skill Name

What this skill does in 2-3 sentences. Focus on the outcome, not the process.

Stage

This skill belongs to Stage SX: StageName

When to Use

Scenario 1
Scenario 2
Scenario 3

Input Schema

{
  required_field: {          # (required) Description
    name: string             # Example value
  }
  optional_field: string     # (optional, default: "value") Description
}

Workflow

Step 1: Gather Context

What to check first. How to handle missing inputs.

Step 2: Execute Core Task

The main work the skill does.

Step 3: Format and Deliver

How to structure the output.

Output Schema

Other skills can consume these fields from conversation context:

{
  primary_output: string     # Main result for downstream chaining
  secondary_output: string   # Additional data for downstream skills
}

Output Format

## [Skill Name]: [Context]

### Section 1
[Main content]

### Section 2
[Supporting content]

Error Handling

Missing required input: How to recover gracefully.
External data unavailable: Fallback strategy.
Edge case: How to handle unexpected scenarios.

Examples

Example 1: [realistic user prompt] → [step-by-step what the skill does] → [expected output summary]

Example 2: [different scenario] → [step-by-step] → [expected output summary]

Example 3: [edge case or beginner scenario] → [step-by-step] → [expected output summary]

Flywheel Connections

Feeds Into

[skill] (S[X]) — [what data/output flows forward to this skill]

Fed By

[skill] (S[X]) — [what data/output flows back from this skill]

Feedback Loop

[analytics metric or data point that improves this skill's next run]

Quality Gate

Include this section for content-producing skills (S2, S3, S4, S5, S7). Remove for non-content skills.

Before delivering output, verify:

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

Any NO → rewrite before delivering. Do not flag this checklist to the user.

Volume Mode

Include this section for S2 Content skills only. Remove for other stages.

When mode: "volume":

Generate 5-10 variations instead of 1
Prioritize speed + variety over perfection
Tag each with variant ID for A/B tracking
Let data pick the winner (GaryVee philosophy)

volume_output:
  variants:
    - id: string           # e.g., "v1", "v2"
      content: string      # The variation
      angle: string        # What makes this one different

References

references/your-reference.md — description of what it contains
shared/references/ftc-compliance.md — FTC disclosure requirements
shared/references/affitor-branding.md — branding rules
shared/references/flywheel-connections.md — master flywheel connection map