Prompt Improver

Community

happycapy-ai

prompt-improver

Optimize prompts for better AI responses. Use when user asks to improve a prompt, refine a prompt, make a prompt better, optimize prompting, review their prompt, or says "/improve-prompt". Transforms vague requests into clear, specific, actionable prompts.

Overview

Publisher	happycapy-ai
Repository	`Happycapy-skills`
Skill name	`prompt-improver`
Stars	138
Forks	30
Bundled files	8
License	MIT
Links	Skill source Repository

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

Installation

Install the Prompt Improver 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.
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/happycapy-ai/Happycapy-skills.git /tmp/Happycapy-skills
mkdir -p .claude/skills
cp -r /tmp/Happycapy-skills/skills/prompt-improver .claude/skills/prompt-improver

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

Use it in TypingMind

Enable Prompt Improver 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 Prompt Improver 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 Prompt Improver 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.

Prompt Improver

Transform vague prompts into clear, specific, actionable ones for better AI responses.

Workflow

Gather context - Use AskUserQuestion to clarify:
- Target platform (Claude Code, ChatGPT, API, image gen)
- Priority (accuracy, speed, depth, creativity)
- Missing context (technical stack, constraints, examples)
Analyze - Identify what's unclear, missing, or ambiguous
Improve - Apply the framework (see references/framework.md)
Present - Show improved prompt with key changes explained
Refine - Ask if user wants adjustments

AskUserQuestion Templates

Initial clarification:


questions:
  - header: "Platform"
    question: "What will you use this prompt for?"
    options:
      - label: "Claude Code"
        description: "Coding, file ops, terminal"
      - label: "ChatGPT/Claude.ai"
        description: "General conversation"
      - label: "API/Automation"
        description: "Programmatic use"
      - label: "Image gen"
        description: "DALL-E, Midjourney, etc."
  - header: "Priority"
    question: "What matters most?"
    options:
      - label: "Accuracy"
        description: "Correctness is critical"
      - label: "Speed"
        description: "Quick, concise"
      - label: "Depth"
        description: "Comprehensive"
      - label: "Creativity"
        description: "Novel approaches"

Post-improvement:


header: "Refine"
question: "Adjust the improved prompt?"
options:
  - label: "Looks good"
    description: "Use as-is"
  - label: "More specific"
    description: "Add constraints"
  - label: "More concise"
    description: "Shorten"
  - label: "Different focus"
    description: "Change emphasis"

Output Format

markdown
## Analysis
[Brief issues/opportunities]

## Improved Prompt
[Ready-to-use prompt]

## Key Changes
- [Change]: [Why]

Quick Mode

If user says "quick improve", skip questions and make reasonable assumptions. Note assumptions made.

Aristotelian Mode (First Principles)

Activated when user says "Aristotelian", "first principles", or "proof-based". Instead of the standard framework, produce a prompt that instructs the receiving LLM to reason from first principles when executing the task.

The prompt-improver does NOT do the Aristotelian reasoning itself. It crafts a prompt that tells the LLM to:

Gather context from user - Ask what system capabilities, tools, and constraints exist. Bake known context (root access, AI model, available tools, domain) directly into the prompt as given axioms.
Embed the reasoning directive - The improved prompt tells the LLM to:
- Identify the atomic, irreducible truths of the task before acting
- Interrogate each truth: "Can this be decomposed further? If removed, does the task break? Does it contradict anything?"
- Discard anything that is not strictly necessary
- Build the solution deductively, where every action traces to a stated axiom
- Verify the result against the axioms at the end

Structure the output prompt with these sections:


REASONING DIRECTIVE: [Instruct the LLM to use first-principles reasoning]
GIVEN AXIOMS: [Known truths about system, capabilities, domain -- baked in]
TASK: [What to accomplish]
METHOD: [Tell LLM to discover task-specific axioms, interrogate them, then build deductively]
VERIFICATION: [Tell LLM to check its result against its axioms]

Output format for Aristotelian mode:

markdown
## Analysis
[What context was embedded and why]

## Improved Prompt (Aristotelian)
[The complete prompt with reasoning directive, given axioms, task, method, and verification]

## What This Prompt Does
- Tells the LLM to [specific reasoning behavior]
- Bakes in [specific context] so the LLM does not hallucinate it

See references/aristotelian.md for the full methodology and prompt structure.

References

Framework details: See references/framework.md for the 6-principle improvement framework
Aristotelian mode: See references/aristotelian.md for the proof-based first principles methodology
Examples: See references/examples.md for before/after transformations
Anti-patterns: See references/anti-patterns.md for common issues to fix

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 Prompt Improver AI skill do?

Why use Prompt Improver on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/happycapy-ai/Happycapy-skills/tree/main/skills/prompt-improver. 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 Prompt Improver?

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 Prompt Improver?

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

Is the Prompt Improver AI skill free?

Yes. It is published on GitHub by happycapy-ai 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.

View all

Finishing A Development Branch

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CommunityPopular

Use when implementation is complete, all tests pass, and you need to decide how to integrate the work

Receiving Code Review

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Use when receiving code review feedback, before implementing suggestions, especially if feedback seems unclear or technically questionable - requires technical rigor and verification, not performative…

Requesting Code Review

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Use when completing tasks, implementing major features, or before merging to verify work meets requirements

Subagent Driven Development

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Use when executing implementation plans with independent tasks in the current session

Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Prompt Improver

Workflow

AskUserQuestion Templates

Output Format

Quick Mode

Aristotelian Mode (First Principles)

References

Bundled files

Frequently asked questions

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