A set of instructions and tools for designing, redesigning, reviewing, and refining frontend interfaces such as websites, dashboards, forms, and application screens.

Use it to create or improve frontend layouts, components, styles, empty states, onboarding, settings, and other user-interface details.

It provides a repeatable way to inspect the project, follow its existing design system, and make interface changes consistent with the codebase.

impeccable — Skill for Claude Code and Codex by Fast-Editor: A set of instructions and tools for designing, redesigning…

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/fast-editor/lynkr/impeccable

Any agent

npx skills add Fast-Editor/Lynkr --skill impeccable

Clone the repo

git clone --depth 1 https://github.com/Fast-Editor/Lynkr

Made for: Claude Code, Codex.

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/fast-editor/lynkr/impeccable.svg)](https://agentmods.dev/skills/fast-editor/lynkr/impeccable)

Your own site

<a href="https://agentmods.dev/skills/fast-editor/lynkr/impeccable"><img src="https://agentmods.dev/badge/skills/fast-editor/lynkr/impeccable.svg" alt="Measured on agentmods" height="20"></a>

Per session 189 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 4,918 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.

Model	Per session	Once invoked
Fable 5	$0.00189	$0.04918
Opus 5	$0.00095	$0.02459
Sonnet 5	$0.00038	$0.00984
Haiku 4.5	$0.00019	$0.00492

Measured 3d ago against content hash d4bae42afc03, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

impeccable 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 3d ago.

The scan reads SKILL.md. This mod also ships 32 executable files (scripts/cleanup-deprecated.mjs, scripts/context-signals.mjs, scripts/context.mjs, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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

Copies of this mod

8 near-identical copies found in the catalogue:

impeccable — 100% identical, 0 lines differ
impeccable — 91% identical, 26 lines differ
impeccable — 89% identical, 34 lines differ
impeccable — 89% identical, 34 lines differ
impeccable — 89% identical, 88 lines differ
klimkit-impeccable — 89% identical, 36 lines differ
impeccable — 88% identical, 45 lines differ
impeccable — 88% identical, 22 lines differ

.github/skills/impeccable/SKILL.md · 174 lines

How it starts

The opening of the file, as written. The whole thing — 174 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Designs and iterates production-grade frontend interfaces. Real working code, committed design choices, exceptional craft.

Setup

You MUST do these steps before proceeding:

Run node .github/skills/impeccable/scripts/context.mjs once per session. If you've already seen its output in this conversation, do not re-run it. The script either prints the project's PRODUCT.md (and DESIGN.md when present) as a markdown block, or tells you it's missing. Follow whatever it prints. If it reports NO_PRODUCT_MD, stop and follow reference/init.md before doing anything else. If the output ends with an UPDATE_AVAILABLE directive, follow it (ask the user once about updating, then continue). It never blocks the current task.
If the user invoked a sub-command (craft, shape, audit, polish, ...), you MUST read reference/<command>.md next. Non-optional. The reference defines the command's flow; without it you will skip steps the user expects.
Familiarize yourself with any existing design system, conventions, and components in the code. Read at least one project file (CSS / tokens / theme / a representative component or page). Required even when you've loaded a sub-command reference in step 2. Don't reinvent the wheel; use what's there when it works, branch out when the UX wins.
Read the matching register reference. This is non-optional; skipping it produces generic output. If the project is marketing, a landing page, a campaign, long-form content, or a portfolio (design IS the product), read reference/brand.md. If it is app UI, admin, a dashboard, or a tool (design SERVES the product), read reference/product.md. Pick by first match: (1) task cue ("landing page" vs "dashboard"); (2) surface in focus (the page, file, or route being worked on); (3) register field in PRODUCT.md.
If the project is brand-new (no existing CSS tokens / theme / committed brand colors found in step 3), run node .github/skills/impeccable/scripts/palette.mjs to receive a brand seed color and composition guidance. This is the anchor for your primary brand color. Compose the rest of the palette (bg, surface, ink, accent, muted) around it per the script's instructions. Use OKLCH throughout. Skip this step only if step 3 found committed brand colors in existing tokens; in that case identity-preservation wins.

Read the full file on GitHub · 174 lines

Files

What ships with it

60 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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.

3d ago First seen · 174 lines · 189 tokens per session scan A d4bae42afc03

Subscribe to this mod's changes

impeccable is a skill published in the GitHub repository Fast-Editor/Lynkr (546 stars, last pushed 4d ago), licensed Apache-2.0. It adds 189 tokens to every session and 4,918 once invoked, about $0.0009 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 2026-08-30.

Design and UX Frontend agents ai claude claudecode code-assistant databricks

forget

Delete specific observations from agentmemory after showing them and getting explicit confirmation. Use when the user says "forget this", "delete memory", "remove that note", or wants to scrub specific data for privacy.

rohitg00/agentmemory · 43 tokens

handoff

Resume the most recent agent session for the current working directory, leading with any unanswered question. Use when the user says "where were we", "resume", "handoff", "pick up where I left off", or starts a session with no fresh context.

rohitg00/agentmemory · 55 tokens

lesson

Save a correction or hard-won rule as a confidence-weighted lesson that resurfaces before similar work. Use when the user corrects your approach, says "learn this", "always" or "never do X", or you notice yourself repeating a past mistake.

rohitg00/agentmemory · 55 tokens

memory-discipline

The session loop that makes agentmemory pay off, recall before starting work, save at decision points, learn from corrections. Use when starting a nontrivial task, after settling a decision or debugging a gotcha, or whenever deciding if something belongs in memory.

rohitg00/agentmemory · 56 tokens

remember

Save an insight, decision, or learning to agentmemory's long-term storage with searchable concept tags. Use when the user says "remember this", "save this", "note that", "don't forget", or wants to preserve knowledge for future sessions.

rohitg00/agentmemory · 52 tokens

agentmemory-hooks

The agentmemory plugin hooks that capture observations automatically across the agent session lifecycle. Use when explaining how memory gets captured without manual saves, when debugging missing observations, or when tuning what gets recorded.

rohitg00/agentmemory · 42 tokens