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Guided Goal

CommunityPopular
davepoon
guided-goal

Turn a rough objective into a bounded, verifiable completion contract, confirm it, then execute it with a finite attempt cap. Use when the user wants autonomous work but the outcome, proof, scope, or stopping point is still vague.

Overview

Publisherdavepoon
Repositorybuildwithclaude
Skill nameguided-goal
Stars
3.7K
Forks
669
Bundled files
2
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.

  • 2 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by davepoon on GitHub. Read the source before you install it.

Installation

Install the Guided 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/davepoon/buildwithclaude/tree/main/plugins/all-skills/skills/guided-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/davepoon/buildwithclaude.git /tmp/buildwithclaude
mkdir -p .claude/skills
cp -r /tmp/buildwithclaude/plugins/all-skills/skills/guided-goal .claude/skills/guided-goal
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Guided 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 Guided 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 Guided 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.

Guided Goal

Convert rough intent into a completion contract before doing the work. The interview and execution are separate phases.

Phase 1 — Interview without acting

During the interview:

  • Ask exactly one short question per response.
  • Do not inspect files, search, delegate, run commands, edit anything, or call tools.
  • Ask at most six questions. Ask fewer when the answer is already known.
  • Ask for the highest-value missing field, not every possible detail.
  • Preserve concrete facts and constraints already supplied. Never make the user repeat them.
  • Use relevant project, stack, environment, and verification facts already present in conversation context.
  • Do not turn the goal into a planning exercise unless planning is the requested outcome.
  • Push back on subjective success, self-evaluated quality, unbounded iteration, missing verification, vague boundaries, or absent stop conditions.
  • If the user cancels, stop without activating or executing anything.

Before activation, establish all of these:

  1. one bounded objective;
  2. binary or deterministic success criteria;
  3. exact commands, checks, artifacts, or observable evidence that prove completion;
  4. allowed scope and an explicit denylist;
  5. a numeric attempt cap from 1 to 100 plus escalation or hard-stop conditions.

When ready, present exactly this structure:

Objective

Success criteria

Verification

<exact commands, checks, artifacts, or observable evidence>

Boundaries

Stop conditions

Then ask exactly one question: Activate this goal?

Phase 2 — Require explicit confirmation

Do not activate from silence, ambiguity, or a general acknowledgment. Accept only an explicit confirmation that clearly refers to the presented contract.

If the user changes the objective, criteria, verification, boundaries, or stop conditions, present the revised full contract and ask Activate this goal? again. A confirmation for an older contract does not authorize the revised one.

Phase 3 — Activate through the available host

After explicit confirmation, use the first applicable mode:

Hermes native mode

If the host exposes guided_goal_activate, call it with the complete five-section Markdown contract in its objective argument. If the tool is deferred, load its schema through the host's normal deferred-tool mechanism first. After successful activation, begin working immediately. Do not ask for confirmation again.

Portable in-session mode

If no native activation tool exists:

  1. State that the contract is activated for the current session. Do not claim it is persisted, backgrounded, or enforced by a native goal judge.
  2. Execute the contract immediately using the host's normal tools and approval system. Do not substitute a similarly named planning or goal-recording tool such as create_goal; only guided_goal_activate qualifies as the native activation path for this skill.
  3. Count one attempt as one meaningful change-or-investigation cycle followed by the contract's verification, not as each individual tool call.
  4. After each failed attempt, use the evidence to choose a materially different next attempt. Do not repeat the same failed action unchanged.
  5. Stop as soon as every success criterion passes its stated verification.
  6. Stop and report the exact blocker when the attempt cap is reached, a denylisted action becomes necessary, required authorization is unavailable, or another hard-stop condition fires.
  7. Never broaden scope silently. A material scope change requires a revised contract and fresh confirmation.

Use a native task list or status surface when available, but do not make one a prerequisite. If the session must end before completion, return the full contract, attempt count, verified evidence, current blocker, and next executable action as a resumable handoff.

Completion report

A completion claim must name the verification actually run and its result. A timeout, skipped check, plausible-looking output, or agent self-assessment is not a pass.

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 Guided Goal AI skill do?

Turn a rough objective into a bounded, verifiable completion contract, confirm it, then execute it with a finite attempt cap. Use when the user wants autonomous work but the outcome, proof, scope, or stopping point is still vague.

Why use Guided Goal on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/davepoon/buildwithclaude/tree/main/plugins/all-skills/skills/guided-goal. 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 Guided 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 Guided Goal?

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

Is the Guided Goal AI skill free?

Yes. It is published on GitHub by davepoon 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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