refinement-playbook

refinement-playbook is a skill for Claude Code, Codex from lenxism/ives. It costs 104 tokens per session (1,112 once invoked), scanned A, original, MIT.

A step-by-step method for improving an existing interface through focused passes over content, visual styling, spacing, consistency, hierarchy, data displays, interactions, and small details.

In plain words
What is it for?
It helps refine websites, apps, dashboards, and individual screens by removing unnecessary elements, simplifying visuals, improving layout, and making interactions clearer.
Why use it?
It gives a clear order for polishing a design instead of making scattered changes that may not address the main sources of clutter or confusion.

Skill for Claude CodeCodex

Part of the ives plugin — 13 skills shipped together

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add skills/lenxism/ives/refinement-playbook
Any agent
npx skills add lenxism/ives --skill refinement-playbook
Clone the repo
git clone --depth 1 https://github.com/lenxism/ives

Made for: Claude Code, Codex.

Or install ives, the plugin that ships this one along with the rest of its 13 skills.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for refinement-playbook

README.md
[![agentmods](https://agentmods.dev/badge/skills/lenxism/ives/refinement-playbook.svg)](https://agentmods.dev/skills/lenxism/ives/refinement-playbook)
Your own site
<a href="https://agentmods.dev/skills/lenxism/ives/refinement-playbook"><img src="https://agentmods.dev/badge/skills/lenxism/ives/refinement-playbook.svg" alt="Measured on agentmods" height="20"></a>
Per session 104 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,112 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00104 $0.01112
Opus 5 $0.00052 $0.00556
Sonnet 5 $0.00021 $0.00222
Haiku 4.5 $0.00010 $0.00111

Measured 4d ago against content hash faa4b32a183d, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

refinement-playbook scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 4d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/refinement-playbook/SKILL.md · 104 lines

How it starts

The opening of the file, as written. The whole thing — 104 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Refinement Playbook

Each change may seem small on its own, but through deliberate choices to remove redundancy, simplify treatments, and let content speak, the interface transforms.

The Refinement Sequence

Work through these categories in order. Each builds on the previous.

1. Remove Redundancy

Start by eliminating what doesn't need to exist.

  • Redundant labels. If the page title says "Analytics," the subtitle "Your analytics dashboard" adds nothing. Remove it.
  • Duplicate visual signals. If color indicates state, you don't also need an icon and a label.
  • Unnecessary containers. Four separate cards for four sibling metrics create noise. A single consolidated scoreboard reads better.
  • Verbose headers. "Edition Performance" → "Performance." "Top Performing Links" → "Top Links."

The test: For every element, ask: "If I removed this, would meaning be lost?" If no, remove it.

2. Simplify Visual Treatments

  • Reduce stroke weight — heavy borders add noise. Consider removing strokes entirely if spacing creates sufficient separation.
  • Tighten shadow blur radius and y-offset for crisper depth.
  • Reserve display typefaces for page titles only. Section headers work better in clean sans-serif.
  • Establish a clear typographic scale: 2-3 sizes maximum for body content.
  • Use dividers consistently or not at all. Often, spacing alone is sufficient.

3. Tighten Spacing and Proportion

This is where most interfaces feel "off" without people being able to articulate why.

  • Balance padding within containers. Too much vertical padding at top creates top-heaviness.
  • Reduce gaps between related elements. Labels and values, icons and text should feel tightly coupled.
  • Increase gaps between unrelated sections. Make grouping obvious through spacing.
  • Equalize gaps between peer sections. Inconsistent spacing between siblings feels uneven.
  • Optical alignment. Elements sharing a left edge should actually share it — across nested containers.

Read the full file on GitHub · 104 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 4d ago First seen · 104 lines · 104 tokens per session scan A faa4b32a183d

Subscribe to this mod's changes

refinement-playbook is a skill published in the GitHub repository lenxism/ives (5 stars, last pushed 6mo ago), licensed MIT. It adds 104 tokens to every session and 1,112 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

Related

Other skills, from other repositories