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Agent skill

Refine

by sharpdeveye in sharpdeveye/maestro

A skill your agent uses when the workflow works but needs polish, or as the final step in a diagnose → fix → refine cycle before shipping.

MITAuto-check passedMobile

Install Refine

skills CLI
$ npx skills add sharpdeveye/maestro --skill refine -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install sharpdeveye/maestro refine --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/sharpdeveye/maestro.git skills-src && mkdir -p .claude/skills && cp -r skills-src/source/skills/refine .claude/skills/refine && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
refine
GitHub stars
592
Token cost
~731 tokens
SKILL.md length
338 words
Files
1
Skills in repo
25
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when the workflow works but needs polish, or as the final step in a diagnose → fix → refine cycle before shipping.

  • Works in 4 steps: What's wrong (specific finding) → Where it is (file, line, or component) → How to fix it (concrete suggestion) → …
  • The workflow works but needs polish
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • As the final step in a diagnose → fix → refine cycle before shipping

What it does

Refine is an agent skill from sharpdeveye/maestro. Use when the workflow works but needs polish, or as the final step in a diagnose → fix → refine cycle before shipping.

Its SKILL.md is about 730 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Mobile. The repository describes itself as: Workflow fluency for AI coding agents. 1 core skill · 25 commands · 7 domain references · memory layer · audit trail — works across Cursor, Claude Code, Gemini CLI, Copilot, and… The licence is MIT.

When your agent uses it

  • The workflow works but needs polish
  • As the final step in a diagnose → fix → refine cycle before shipping

Example prompts

  • “/refine”

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

  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)

What it can do on your machine

Read from SKILL.md and the folder at commit 00f9115. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Refine loads about 731 tokens when it runs. Until then it costs about 31 tokens; SKILL.md has 338 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~31
When it runs · the whole SKILL.md, loaded when a task matches
~731

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from sharpdeveye/maestro at commit 00f9115, republished under its MIT licence (© sharpdeveye). 338 words, ~731 tokens.

Download SKILL.mdSave it as .claude/skills/refine/SKILL.md (or your agent's skills folder).
name
refine
description
Use when the workflow works but needs polish, or as the final step in a diagnose → fix → refine cycle before shipping.
argument-hint
[target area]
category
fix
version
2.0.0
user-invocable
true

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

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)

© sharpdeveye, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in source/skills/refine of sharpdeveye/maestro.

Open the folder on GitHubat commit 00f9115

Compare with similar skills

Refine next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Refine compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Refine this skillsharpdeveye/maestro592—~731Automated safety check: PassMIT
React Native Best Practicesvercel-labs/openreview1.7k17 repos~1.1kAutomated safety check: PassMIT
Swiftui Protwostraws/SwiftUI-Agent-Skill5.1k2 repos~1.5kAutomated safety check: PassMIT
Kortix Brandkortix-ai/suna20k—~4kAutomated safety check: PassCustom licence
Ip As LogoKartikLabhshetwar/better-shot2.4k1 repos~4.3kAutomated safety check: PassMIT
Compose Multiplatform Patternsmonta-app/ocpp-emulator1805 repos~2kAutomated safety check: PassApache-2.0

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  • Swiftui Pro

    twostraws/SwiftUI-Agent-Skill

    Comprehensively reviews SwiftUI code for best practices on modern APIs, maintainability, and performance.

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More from sharpdeveye/maestro

All 25 skills in this repo

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  • Diagnose

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  • Extract Pattern

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  • Fortify

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Categories

Questions about Refine

What does Refine do?

A skill your agent uses when the workflow works but needs polish, or as the final step in a diagnose → fix → refine cycle before shipping. Refine is an agent skill from sharpdeveye/maestro. Use when the workflow works but needs polish, or as the final step in a diagnose → fix → refine cycle before shipping.

When should I use Refine?

Refine fits situations like: the workflow works but needs polish; as the final step in a diagnose → fix → refine cycle before shipping.

How do I install Refine in Claude Code?

Run `npx skills add sharpdeveye/maestro --skill refine -a claude-code`. Or copy the skill folder (source/skills/refine in sharpdeveye/maestro) into .claude/skills/refine in your project. Claude Code loads it when a task matches its description.

How do I install Refine in Codex?

Run `npx skills add sharpdeveye/maestro --skill refine -a codex`. Or copy the skill folder (source/skills/refine in sharpdeveye/maestro) into .agents/skills/refine in your project. Codex loads it when a task matches its description.

Can I use Refine in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add sharpdeveye/maestro --skill refine -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/refine, .gemini/skills/refine, .github/skills/refine and .opencode/skills/refine in your project.

What does Refine need to run?

SKILL.md names no scripts, command-line tools or credentials: Refine is instructions for the agent only.

Does Refine access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Refine safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Refine use?

Refine is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Refine use?

About 731 tokens (SKILL.md is roughly 2.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Refine?

Skills that share tags, products or a category with Refine: React Native Best Practices (vercel-labs/openreview, 1.7k stars), Swiftui Pro (twostraws/SwiftUI-Agent-Skill, 5.1k stars), Kortix Brand (kortix-ai/suna, 20k stars) and Ip As Logo (KartikLabhshetwar/better-shot, 2.4k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Refine?

sharpdeveye (a GitHub user) maintains it in sharpdeveye/maestro, which has 592 GitHub stars. The repository holds 25 skills in this directory. The repository was last updated on April 29, 2026.

Source: sharpdeveye/maestro on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.