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Prompt Polisher

Community
cnfjlhj
prompt-polisher

Use when the user explicitly wants rough notes, voice transcription, or stream-of-consciousness instructions rewritten into a clean reusable prompt for another model or for later execution. Do not use this just because the input is messy; use input-triage when the job is to separate goals, claims, and options.

Overview

Publishercnfjlhj
Repositoryai-collab-playbook
Skill nameprompt-polisher
Stars
455
Forks
44
Bundled files
2
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 cnfjlhj on GitHub. Read the source before you install it.

Installation

Install the Prompt Polisher 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/cnfjlhj/ai-collab-playbook/tree/main/skills/full/prompt-polisher
  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/cnfjlhj/ai-collab-playbook.git /tmp/ai-collab-playbook
mkdir -p .claude/skills
cp -r /tmp/ai-collab-playbook/skills/full/prompt-polisher .claude/skills/prompt-polisher
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Prompt Polisher 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 Polisher 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 Polisher 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 Polisher

Overview

This skill turns rough instruction material into a prompt artifact. It is for prompt rewriting, not for general requirement discovery or mixed-signal task triage.

Use it when the user wants a better prompt as the output. If the real need is to understand a messy request before acting, route to the more general triage skill first.

Rules

  • Trigger only when the user explicitly wants prompt polishing, prompt cleanup, or prompt preparation.
  • Preserve the user's real task, constraints, and tone instead of inflating the prompt.
  • Ask only the minimum clarification needed if a missing detail would materially weaken the rewritten prompt.
  • Preview the polished prompt before execution unless the user clearly wants rewrite-and-run in one motion.
  • Keep the output reusable and concise; do not add model-specific padding unless the target model matters.
  • If the input is already clear enough to execute directly, say so instead of forcing a rewrite.

When to Use

Use when:

  • the user says "polish this," "clean this up," or "turn this into a prompt"
  • rough notes or voice-style text should become a reusable prompt artifact
  • the user wants the same instructions packaged for Claude, Codex, or another model
  • the main deliverable is the improved prompt itself

Do not use when:

  • the user wants the task executed directly rather than rewritten as a prompt
  • the job is to sort goals, observations, claims, and proposed fixes
  • brainstorming or planning is still needed before a prompt can be meaningfully written
  • the input is already clear enough and no prompt artifact is needed

References

  • Guidance: reference.md
  • Examples: examples.md

Output Pattern

  • cleaned source intent
  • polished prompt
  • optional short note on what changed or what still needs clarification

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 Polisher AI skill do?

Use when the user explicitly wants rough notes, voice transcription, or stream-of-consciousness instructions rewritten into a clean reusable prompt for another model or for later execution. Do not use this just because the input is messy; use input-triage when the job is to separate goals, claims, and options.

Why use Prompt Polisher on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/cnfjlhj/ai-collab-playbook/tree/main/skills/full/prompt-polisher. 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 Polisher?

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 Polisher?

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

Is the Prompt Polisher AI skill free?

It is published on GitHub by cnfjlhj. 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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