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Refine

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sharpdeveye
refine

Use when the workflow works but needs polish, or as the final step in a diagnose → fix → refine cycle before shipping.

Overview

Publishersharpdeveye
Repositorymaestro
Skill namerefine
Stars
591
Forks
73
Bundled files
Instructions only
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

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

Installation

Install the Refine 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/sharpdeveye/maestro/tree/main/source/skills/refine
  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/sharpdeveye/maestro.git /tmp/maestro
mkdir -p .claude/skills
cp -r /tmp/maestro/source/skills/refine .claude/skills/refine
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Refine 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 Refine 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 Refine 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.

MANDATORY PREPARATION

Invoke /agent-workflow — it contains workflow principles, anti-patterns, and the Context Gathering Protocol. Follow the protocol before proceeding — if no workflow context exists yet, you MUST run /teach-maestro first.


This is the final quality pass. The workflow works — now make it excellent.

Refinement Checklist

Prompts

  • Every prompt follows the 4-zone pattern (role, context, instructions, output)
  • Output schemas are explicit and validated
  • Negative instructions clarify what NOT to do
  • No contradictory instructions
  • Few-shot examples included for ambiguous tasks
  • Chain-of-thought used for multi-step reasoning tasks

Tool Descriptions

  • Every tool has a multi-line description: what, when to use, when NOT to use, returns
  • Input parameters have descriptions and types
  • Error responses are documented
  • At least one example input/output in the description

Error Messages

  • Error messages are specific (not "an error occurred")
  • Error messages suggest corrective action
  • Errors include context (what was being attempted)
  • Errors are structured (code + message + details)

Logging

  • Every model call is logged (input tokens, output tokens, latency, cost)
  • Tool calls are logged with inputs and outputs
  • Errors are logged with full context
  • PII is redacted from logs
  • Workflow ID traces through all log entries

Configuration

  • All magic numbers are named constants
  • Environment-specific values are in config, not code
  • Defaults are sensible — config is for overrides
  • Cost ceilings are set
  • Timeout values are set for all external calls

Output

For each checklist item that fails, provide:

  1. What's wrong (specific finding)
  2. Where it is (file, line, or component)
  3. How to fix it (concrete suggestion)
  4. Priority (critical / important / nice-to-have)

Priority Matrix

PriorityCriteriaMaestro Action
CriticalAffects correctness or safety/fortify or /guard before shipping
ImportantAffects quality or maintainability/calibrate in current cycle
Nice-to-haveCosmetic or minor inconsistencyNote for next /refine pass

Recommended Next Step

After refinement is complete, run /evaluate to verify the polished workflow against realistic scenarios.

NEVER:

  • Skip the checklist — go through every item
  • Mark items as passing without checking
  • Suggest changes that alter behavior (this is polish, not redesign)
  • Refine before the workflow is functionally correct (fix first, refine last)

Frequently asked questions

What does the Refine AI skill do?

Use when the workflow works but needs polish, or as the final step in a diagnose → fix → refine cycle before shipping.

Why use Refine on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/sharpdeveye/maestro/tree/main/source/skills/refine. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Refine?

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 Refine?

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

Is the Refine AI skill free?

Yes. It is published on GitHub by sharpdeveye 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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