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Agent Goal

OrganizationPopular
EpicenterHQ
agent-goal

Draft a `/goal` line that gives long-running Codex or Claude Code work an objective, validation evidence, and a stop condition. Use when the user explicitly asks for `/goal`, an agent goal, or a completion condition.

Overview

PublisherEpicenterHQ
Repositoryepicenter
Skill nameagent-goal
Stars
4.8K
Forks
386
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 EpicenterHQ on GitHub. Read the source before you install it.

Installation

Install the Agent Goal 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/EpicenterHQ/epicenter/tree/main/.agents/skills/agent-goal
  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/EpicenterHQ/epicenter.git /tmp/epicenter
mkdir -p .claude/skills
cp -r /tmp/epicenter/.agents/skills/agent-goal .claude/skills/agent-goal
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Agent 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 Agent 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 Agent 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.

Agent Goal

Write one /goal line that a coding agent can keep pursuing until the transcript proves the work is done.

This skill owns the slash-goal artifact. Do not use it for ordinary prompt drafting, handoffs, continuation prompts, delegation briefs, or prompt engineering.

Shape

txt
/goal <single objective> in <lane> until <observable evidence proves completion>. First read <starting context>. Work in checkpoints and surface <validation evidence> after each checkpoint.

Answer these in order, then compress them into one line:

txt
What should change?
Where should the agent start?
What evidence proves it changed?
When should the agent stop?

Include only execution-critical detail:

  • Objective: one concrete outcome, not a backlog of unrelated wishes.
  • Lane: files, packages, apps, issues, specs, or the intended work area.
  • Starting context: the first files, plans, logs, screenshots, or acceptance criteria to read.
  • Evidence: command output, tests, build result, screenshot check, eval score, file count, or reviewed artifact.
  • Stop condition: the exact transcript-visible state that means the goal is achieved.

Rules

  1. Start the answer with /goal when the user asks for the goal text.
  2. Make completion judgeable by someone who can only read the transcript.
  3. Prefer exact checks over vague proof: "bun test packages/auth exits 0" beats "tests pass."
  4. Point long requirements at a file instead of pasting them into the goal.
  5. Ask for checkpoints when the work spans multiple turns.
  6. Bound repeated failure: after three failed attempts on the same check, report the root cause and next decision.
  7. Do not create a /goal for vague wishes, open-ended research, unrelated chores, or work with no observable evidence.

Platform Note

Different agents may evaluate goals differently, but the portable rule is the same: the goal should not rely on hidden state. Tell the agent to run checks and surface evidence in the transcript.

Check

Before handing back a goal, verify:

  • It has one main objective.
  • It names where to start.
  • It names the evidence that proves completion.
  • It tells the agent to surface that evidence.
  • It tells the agent when to stop.

Frequently asked questions

What does the Agent Goal AI skill do?

Draft a `/goal` line that gives long-running Codex or Claude Code work an objective, validation evidence, and a stop condition. Use when the user explicitly asks for `/goal`, an agent goal, or a completion condition.

Why use Agent Goal on TypingMind?

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

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

Which AI models can use Agent 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 Agent Goal?

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

Is the Agent Goal AI skill free?

It is published on GitHub by EpicenterHQ. 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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