Goal

Community

lploc94

goal

Create, track and close one verifiable goal with acceptance criteria and evidence, using the goal tool and the package's Stop continuation.

Overview

Publisher	lploc94
Repository	`raw-cli`
Skill name	`goal`
Stars	107
Forks	14
Bundled files	Instructions only
License	MIT
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.
Self-contained
Everything the model needs lives in the instructions — no extra files to sync.
Open source
Published by lploc94 on GitHub. Read the source before you install it.

Installation

Install the Goal 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/lploc94/raw-cli/tree/main/examples/packages/goal-kit/skills/goal
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/lploc94/raw-cli.git /tmp/raw-cli
mkdir -p .claude/skills
cp -r /tmp/raw-cli/examples/packages/goal-kit/skills/goal .claude/skills/goal

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

Use it in TypingMind

Enable Goal 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 Goal 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 Goal 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.

Working with a goal

A goal is what the user wants plus how they will judge it done. Criteria are the definition of done; steps are only the order of the work.

Start

Call the goal tool with action: "create", a short objective, a doneWhen a stranger could check, and at least one required criterion. Write criteria as statements that are either met or not ("npm run typecheck exits 0"), never as activities ("work on types").

Progress

Call goal update with the id from the last result. Put the proof in evidence: the command and what it printed. A criterion becomes done when its evidence exists. Use blocked with evidence when something outside your control stops it. Keep at most one step in_progress.

Stop and ask

The Stop hook continues the run while the goal is active. If you need the user's input, call goal pause with a reason first; then ask. Do not rely on a final answer to stop the loop.

Close

Call goal complete only when every required criterion is done and has evidence. Call goal abandon when the user stops the work. Use goal budget only when the user asks to change a limit.

Limits

One goal per workspace. State lives in the package's state store, not in the repository. The budget is checked at final answers, not before every request. See the package README for the state path and limitations.

Frequently asked questions

What does the Goal AI skill do?

Create, track and close one verifiable goal with acceptance criteria and evidence, using the goal tool and the package's Stop continuation.

Why use Goal on TypingMind?

Because you install it once and use it with any model. Goal 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 Goal in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/lploc94/raw-cli/tree/main/examples/packages/goal-kit/skills/goal. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Goal?

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 Goal?

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

Is the Goal AI skill free?

Yes. It is published on GitHub by lploc94 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Working with a goal

Start

Progress

Stop and ask

Close

Limits

Frequently asked questions

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