<Skill Name>

Organization

skillberry-ai

<skill-name>

Overview

Publisher	skillberry-ai
Repository	`cap-evolve`
Skill name	`<skill-name>`
Stars	67
Forks	18
Bundled files	10
License	Apache-2.0
Links	Skill source Repository Homepage

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.
10 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by skillberry-ai on GitHub. Read the source before you install it.

Installation

Install the <Skill Name> AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/skillberry-ai/cap-evolve/tree/main/templates/skill
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.

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/skillberry-ai/cap-evolve.git /tmp/cap-evolve
mkdir -p .claude/skills
cp -r /tmp/cap-evolve/templates/skill .claude/skills/skillberry-ai-skill-name

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable <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 <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 <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.

One-sentence statement of what running this skill accomplishes.

When to use this skill

Concrete triggers. What situation in the pipeline calls for it.

Inputs

Read inputs/INPUTS.md. For every input marked NEEDED that is not already present, ASK THE USER — quote the expected path, the command/options to obtain it, and any alternatives — and do not fabricate it. RECOMMENDED inputs may be skipped, with a logged note.

What you must implement

The optimizer agent implements the abstract methods in scripts/abstract.py (or confirms the project adapter already covers them). Then run scripts/check.py — it refuses until every method is real and deterministic, and tells you exactly what is still stubbed.

How to run


python scripts/check.py        # gate: must pass first
python scripts/run.py <args>   # executes the step; prints a JSON result to stdout

The JSON on stdout is the contract surface — downstream skills (and hosts that can't import Python) consume it directly.

References — load only when you need them

references/concepts.md — grounded background and the reasoning behind the design.
references/examples.md — concrete worked examples.
references/pitfalls.md — failure modes and important points to watch.

Prompt

prompt/PROMPT.md is the prompt template handed to the using-agent when this skill drives a model step. Fill its {{placeholders}} from the inputs.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the <Skill Name> AI skill do?

Why use <Skill Name> on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/skillberry-ai/cap-evolve/tree/main/templates/skill. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use <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 <Skill Name>?

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

Is the <Skill Name> AI skill free?

Yes. It is published on GitHub by skillberry-ai under the Apache-2.0 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

When to use this skill

Inputs

What you must implement

How to run

References — load only when you need them

Prompt

Bundled files

Frequently asked questions

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