typeset

typeset is a skill for Claude Code from qinye6/pi-ccg. It costs 50 tokens per session (1,316 once invoked), scanned A, a copy of typeset, MIT.

A skill for improving fonts, text hierarchy, sizing, weight, and readability in an interface.

In plain words
What is it for?
Choosing and refining type styles, heading levels, text sizes, and readable layouts.
Why use it?
It helps fix typography that feels inconsistent, hard to read, or like uncustomised default text.

Skill for Claude Code

Written for Claude Code: user-invocable in frontmatter.

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/qinye6/pi-ccg/typeset
Any agent
npx skills add qinye6/pi-ccg --skill typeset
Clone the repo
git clone --depth 1 https://github.com/qinye6/pi-ccg

Made for: Claude Code.

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 typeset

README.md
[![agentmods](https://agentmods.dev/badge/skills/qinye6/pi-ccg/typeset.svg)](https://agentmods.dev/skills/qinye6/pi-ccg/typeset)
Your own site
<a href="https://agentmods.dev/skills/qinye6/pi-ccg/typeset"><img src="https://agentmods.dev/badge/skills/qinye6/pi-ccg/typeset.svg" alt="Measured on agentmods" height="20"></a>
Per session 50 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,316 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin 100% copy Near-identical to another mod 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 5.1 $0.00050 $0.01316
Opus 5 $0.00025 $0.00658
Sonnet 5 $0.00010 $0.00263
Haiku 4.5 $0.00005 $0.00132

Measured 2d ago against content hash fae253268932, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

typeset 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 2d 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.

Origin

This is a copy

100% identical to typeset — 2 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

templates/skills/impeccable/typeset/SKILL.md · 116 lines

How it starts

The opening of the file, as written. The whole thing — 116 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Assess and improve typography that feels generic, inconsistent, or poorly structured — turning default-looking text into intentional, well-crafted type.

MANDATORY PREPARATION

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


Assess Current Typography

Analyze what's weak or generic about the current type:

  1. Font choices:

    • Are we using invisible defaults? (Inter, Roboto, Arial, Open Sans, system defaults)
    • Does the font match the brand personality? (A playful brand shouldn't use a corporate typeface)
    • Are there too many font families? (More than 2-3 is almost always a mess)
  2. Hierarchy:

    • Can you tell headings from body from captions at a glance?
    • Are font sizes too close together? (14px, 15px, 16px = muddy hierarchy)
    • Are weight contrasts strong enough? (Medium vs Regular is barely visible)
  3. Sizing & scale:

    • Is there a consistent type scale, or are sizes arbitrary?
    • Does body text meet minimum readability? (16px+)
    • Is the sizing strategy appropriate for the context? (Fixed rem scales for app UIs; fluid clamp() for marketing/content page headings)
  4. Readability:

    • Are line lengths comfortable? (45-75 characters ideal)
    • Is line-height appropriate for the font and context?
    • Is there enough contrast between text and background?
  5. Consistency:

    • Are the same elements styled the same way throughout?
    • Are font weights used consistently? (Not bold in one section, semibold in another for the same role)
    • Is letter-spacing intentional or default everywhere?

CRITICAL: The goal isn't to make text "fancier" — it's to make it clearer, more readable, and more intentional. Good typography is invisible; bad typography is distracting.

Plan Typography Improvements

Consult the typography reference from the frontend-design skill for detailed guidance on scales, pairing, and loading strategies.

Read the full file on GitHub · 116 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. 2d ago First seen · 116 lines · 50 tokens per session scan A fae253268932

Subscribe to this mod's changes

typeset is a skill published in the GitHub repository qinye6/pi-ccg (10 stars, last pushed 12d ago), licensed MIT. It adds 50 tokens to every session and 1,316 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to typeset, differing in 2 lines, and is treated as a copy.

Related

Other skills, from other repositories

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

local-ai-agents

Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…

microsoft/ai-agents-for-beginners · 200 tokens

chronicle

Analyze Copilot session history for standup reports, usage tips, session search, and session reindexing. Use when the user asks for a standup, daily summary, usage tips, workflow recommendations, wants to search or find past sessions by keyword/file/PR, wants to reindex their session store, or asks about deleting…

microsoft/vscode · 72 tokens

chat-pet-sprite-creation

Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.

microsoft/vscode · 53 tokens

cpu-profile-analysis

Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…

microsoft/vscode · 71 tokens

next-cache-components-adoption

Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…

vercel/next.js · 95 tokens