<Skill Slug> logo

<Skill Slug>

Community
OnlyTerp
<skill-slug>

One-line description of what this fix does and why it matters.

Overview

PublisherOnlyTerp
Repositoryprompt-cache-skills
Skill name<skill-slug>
Stars
116
Forks
10
Bundled files
Instructions only
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 OnlyTerp on GitHub. Read the source before you install it.

Installation

Install the <Skill Slug> 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/OnlyTerp/prompt-cache-skills/tree/main/skills/_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/OnlyTerp/prompt-cache-skills.git /tmp/prompt-cache-skills
mkdir -p .claude/skills
cp -r /tmp/prompt-cache-skills/skills/_TEMPLATE .claude/skills/onlyterp-skill-slug
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable <Skill Slug> 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 <Skill Slug> 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 <Skill Slug> 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.

Target

Which harness, which file, which lines. Cite a permalink to the relevant code at the audit commit.

Symptom

What's broken in the user's current setup. Be concrete:

  • Which API call is wrong
  • What field is missing/wrong/volatile
  • What usage field comes back zero or wrong

Fix

diff
--- a/path/to/file.ts
+++ b/path/to/file.ts
@@
-  old line
+  new line

If the fix is multi-step or conditional, list the steps.

Verify

After applying, the agent should:

  1. Run <command> to exercise the code path.
  2. Capture the wire (mitmproxy or harness debug log).
  3. Confirm <specific assertion> — e.g. usage.cache_read_input_tokens > 0 on the second turn.

If the assertion fails, the fix didn't land or there's a second upstream issue. Stop and report.

Background

Why this matters in 1-2 sentences. Link to:

  • [docs/concepts/.md] for the API mechanics
  • [docs/gotchas.md#N] for the underlying footgun
  • [audits/.md] for the full audit

Frequently asked questions

What does the <Skill Slug> AI skill do?

One-line description of what this fix does and why it matters.

Why use <Skill Slug> on TypingMind?

Because you install it once and use it with any model. <Skill Slug> 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 <Skill Slug> in TypingMind?

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

Which AI models can use <Skill Slug>?

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 <Skill Slug>?

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

Is the <Skill Slug> AI skill free?

It is published on GitHub by OnlyTerp. Check the repository for licensing terms. 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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