Agent skill

Refine

by poteto in poteto/noodle

Sharpen todo items in brain/todos.md into precise, actionable prompts via targeted questioning.

MITAuto-check passed

Install Refine

skills CLI
$ npx skills add poteto/noodle --skill refine -a claude-code

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

GitHub CLI
$ gh skill install poteto/noodle 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/poteto/noodle.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/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
420
Token cost
~385 tokens
SKILL.md length
197 words
Files
1
Skills in repo
26
Repo updated
First seen
Licence
MIT

At a glance

Sharpen todo items in brain/todos.md into precise, actionable prompts via targeted questioning.

  • Works in 6 steps: Read brain/todos.md and review items… → Triage each item: is it clear enough to… → Ask clarifying questions about unclear… → …
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Refine is an agent skill from poteto/noodle. Sharpen todo items in brain/todos.md into precise, actionable prompts via targeted questioning. Triggers: "refine", "refine todos", "clarify todos".

Its SKILL.md is about 390 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

The repository describes itself as: Orchestrate agents using skills. The licence is MIT.

Example prompts

  • “refine”
  • “refine todos”
  • “clarify todos”
  • “/refine”

Workflow steps

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

  1. Read brain/todos.md and review items under ## Open.
  2. Triage each item: is it clear enough to act on without further context? A clear item specifies what is wrong, where it happens, and what…
  3. Ask clarifying questions about unclear items using AskUserQuestion. Group related questions — aim for one round of questions, not a…
  4. Rewrite unclear items in-place using Edit, incorporating the user's answers. Each rewritten item should be a self-contained prompt that…
  5. Remove any items the user says are already done or no longer relevant.
  6. Report a summary of what changed.

What it can do on your machine

Read from SKILL.md and the folder at commit 82d2921. 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 385 tokens when it runs. Until then it costs about 39 tokens; SKILL.md has 197 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~39
When it runs · the whole SKILL.md, loaded when a task matches
~385

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 poteto/noodle at commit 82d2921, republished under its MIT licence (© poteto). 197 words, ~385 tokens.

Download SKILL.mdSave it as .claude/skills/refine/SKILL.md (or your agent's skills folder).
name
refine
description
Sharpen todo items in brain/todos.md into precise, actionable prompts via targeted questioning. Triggers: "refine", "refine todos", "clarify todos".

Refine

Read brain/todos.md and refine unclear items into actionable prompts through targeted questioning.

Workflow

Use Tasks to track progress. Create a task for each step below (TaskCreate), mark each in_progress when starting and completed when done (TaskUpdate). Check TaskList after each step.

  1. Read brain/todos.md and review items under ## Open.
  2. Triage each item: is it clear enough to act on without further context? A clear item specifies what is wrong, where it happens, and what the fix should be. Skip items that already meet this bar.
  3. Ask clarifying questions about unclear items using AskUserQuestion. Group related questions — aim for one round of questions, not a back-and-forth (to minimize back-and-forth and user fatigue). Good clarifying questions target:
    • What — what exactly is the problem or desired behavior?
    • Where — which part of the app, which component, which flow?
    • How — how should it work instead? What does "fixed" look like?
  4. Rewrite unclear items in-place using Edit, incorporating the user's answers. Each rewritten item should be a self-contained prompt that another agent could act on without additional context.
  5. Remove any items the user says are already done or no longer relevant.
  6. Report a summary of what changed.

© poteto, 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 .agents/skills/refine of poteto/noodle.

Open the folder on GitHubat commit 82d2921

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 skillpoteto/noodle420—~385Automated safety check: PassMIT
Agent Refinementruvnet/ruflo74k2 repos~3.5kAutomated safety check: PassMIT
Refinewindmill-labs/windmill18k—~420Automated safety check: PassCustom licence
Refiner AutomationComposioHQ/awesome-claude-skills77k3 repos~730Automated safety check: PassNone
Sparc Refineruvnet/ruflo74k—~1.5kAutomated safety check: NotesMIT
Refine Promptpenpot/penpot61k—~1.6kAutomated safety check: PassMPL-2.0

Similar skills

  • Agent Refinement

    ruvnet/ruflo

    Agent skill for refinement - invoke with $agent-refinement. An agent skill from ruvnet/ruflo.

    74k GitHub starsUsed in 2 repos~3.5k tokens
    DevelopmentAuto-check passed
  • Refine

    windmill-labs/windmill

    End-of-session reflection. An agent skill from windmill-labs/windmill.

    18k GitHub stars~420 tokensUpdated yesterday
    Auto-check passed
  • Refiner Automation

    ComposioHQ/awesome-claude-skills

    Automate Refiner tasks via Rube MCP (Composio). An agent skill from ComposioHQ/awesome-claude-skills.

    77k GitHub starsUsed in 3 repos~730 tokens
    Productivity & AutomationAuto-check passed
  • Sparc Refine

    ruvnet/ruflo

    Run the SPARC Refinement and Completion phases — review code, improve test coverage, validate against specification, and generate documentation

    74k GitHub stars~1.5k tokensUpdated today
    Testing & QAAuto-check: notes
  • Refine Prompt

    penpot/penpot

    Refine and improve a user-supplied prompt for maximum clarity and effectiveness using prompt-engineering best practices and Penpot project context.

    61k GitHub stars~1.6k tokensUpdated today
    AI & LLM EngineeringAuto-check passed
  • Brain Taxonomist

    garrytan/gbrain

    Filing gate for ALL brain writes. An agent skill from garrytan/gbrain.

    31k GitHub stars~2.3k tokensUpdated today
    DevOps & CloudAuto-check passed

More from poteto/noodle

All 26 skills in this repo
  • Meditate

    poteto/noodle

    Audit and evolve the brain vault — prune outdated content, discover cross-cutting principles, review skills for structural encoding opportunities.

    420 GitHub stars~1.1k tokensUpdated 6 mo ago
    Auto-check passed
  • Ruminate

    poteto/noodle

    Mine past Claude Code and Codex conversations for uncaptured patterns, corrections, and knowledge.

    420 GitHub stars~1.4k tokensUpdated 6 mo ago
    Auto-check passed
  • Ast Grep

    poteto/noodle

    Structural code search via ast-grep — use when code shape and element relationships matter, not just text.

    420 GitHub stars~531 tokensUpdated 6 mo ago
    Auto-check passed
  • Execute

    poteto/noodle

    Implementation methodology for executing tasks. An agent skill from poteto/noodle.

    420 GitHub stars~989 tokensUpdated 6 mo ago
    Auto-check passed
  • Noodle

    poteto/noodle

    Operate the Noodle CLI — explain commands, find flags, create/edit .noodle.toml config.

    420 GitHub stars~1.3k tokensUpdated 6 mo ago
    Auto-check passed
  • Plan

    poteto/noodle

    Systematic planning for medium-to-large tasks. An agent skill from poteto/noodle.

    420 GitHub stars~1.6k tokensUpdated 6 mo ago
    Auto-check passed

Questions about Refine

What does Refine do?

Sharpen todo items in brain/todos.md into precise, actionable prompts via targeted questioning. Refine is an agent skill from poteto/noodle.md into precise, actionable prompts via targeted questioning.

How do I install Refine in Claude Code?

Run `npx skills add poteto/noodle --skill refine -a claude-code`. Or copy the skill folder (.agents/skills/refine in poteto/noodle) 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 poteto/noodle --skill refine -a codex`. Or copy the skill folder (.agents/skills/refine in poteto/noodle) 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 poteto/noodle --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 385 tokens (SKILL.md is roughly 1.5k 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: Agent Refinement (ruvnet/ruflo, 74k stars), Refine (windmill-labs/windmill, 18k stars), Refiner Automation (ComposioHQ/awesome-claude-skills, 77k stars) and Sparc Refine (ruvnet/ruflo, 74k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Refine?

poteto (a GitHub user) maintains it in poteto/noodle, which has 420 GitHub stars. The repository holds 26 skills in this directory. The repository was last updated on March 19, 2026.

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