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Your Skill Name

Organization
Affitor
your-skill-name

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.

Overview

PublisherAffitor
Repositoryaffiliate-skills
Skill nameyour-skill-name
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 Your Skill Name 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/template
  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/template .claude/skills/your-skill-name
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Your Skill Name 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 Your Skill Name 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 Your Skill Name 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.

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:

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

Feedback & Issue Reporting

When this skill produces unexpected, incomplete, or incorrect output, generate a skill_feedback block (see shared/references/feedback-protocol.md for full schema).

Skill-specific failure modes:

  • [Failure mode 1]: [What triggers it, what to report]
  • [Failure mode 2]: [What triggers it, what to report]

Auto-detect triggers for this skill:

  • [Specific condition that means this skill underperformed]
  • [Another condition]

Report issues: GitHub Issues | Discussions

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
  • shared/references/feedback-protocol.md — issue detection and reporting standard
  • shared/references/version-check.md — update notification system

Frequently asked questions

What does the Your Skill Name AI skill do?

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.

Why use Your Skill Name on TypingMind?

Because you install it once and use it with any model. Your Skill Name 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 Your Skill Name in TypingMind?

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

Which AI models can use Your Skill Name?

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 Your Skill Name?

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

Is the Your Skill Name 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.

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