Skills DirectorySkills Directory
SkillsLearnSecurityCategoriesDocsBlogPro
Sign InSubmit Skill
Skills Directory

Security-tested agent skills for Claude, coding agents, and AI workflows.

Directory

  • Browse Skills
  • All Skills A–Z
  • Claude Skills
  • Claude Code Skills
  • Agent Skills
  • Categories
  • Authors
  • Submit a Skill

Learn

  • Learn Hub
  • Install Claude Skills
  • Write SKILL.md
  • Skills vs MCP
  • Directories Compared

Security

  • Security
  • Methodology
  • Secure Claude Skills
  • Security Badges
  • Chrome Extension
  • Skill Manager

Company

  • About
  • Community
  • Blog
  • API Docs
  • Advertise

2026 Skills Directory. All rights reserved.

ProTermsPrivacyRefunds
Back to skills

Thalarch Ui

ASecurity

Directs distinctive, product-specific UI/UX work and visual verification. Use for redesigns, new interfaces, layout, styling, motion, interaction, responsive behavior, accessibility, or when the user asks to make an interface more polished/professional. Avoids generic AI UI and requires rendered evidence when appearance is part of acceptance.

2 stars
0 votes
0 copies
0 views
Added 9/19/2026
ai-agentsgo

Works with

cli

Security Analysis

A100/100

Scanned 9/19/2026

$npx -y skills add LUC4N3X/antigravity-thalarch --skill thalarch-ui --agent claude-code

Installs into .claude/skills of the current project.

Are you the author of Thalarch Ui?

Add the live security badge to your README — it updates automatically with every re-scan.

Security grade badge for Thalarch Ui
[![Security: A — Skills Directory](https://www.skillsdirectory.com/api/skills/luc4n3x-thalarch-ui/badge)](https://www.skillsdirectory.com/skills/luc4n3x-thalarch-ui)

More formats (shields.io, HTML) on the badges page. Keep it an A: scan every change in CI with Pro.

Download with Pro
Files
SKILL.md
---
name: thalarch-ui
description: >
  Directs distinctive, product-specific UI/UX work and visual verification. Use for redesigns,
  new interfaces, layout, styling, motion, interaction, responsive behavior, accessibility, or
  when the user asks to make an interface more polished/professional. Avoids generic AI UI and
  requires rendered evidence when appearance is part of acceptance.
---

# Thalarch UI

Start from product intent, not components.

## Visual thesis

Before implementation define:
- audience and primary job;
- visual tone;
- hierarchy;
- material language;
- typography strategy;
- palette strategy;
- one memorable but justified design idea;
- interaction/motion thesis.

Preserve existing product identity and requested functionality.

## Anti-generic constraints

Avoid:
- card mosaics without information purpose;
- gradients/glows as default decoration;
- excessive rounding;
- random iconography;
- duplicated actions;
- generic dashboard composition;
- animation that does not improve continuity or feedback.

Prefer:
- deliberate whitespace;
- clear hierarchy;
- restrained component count;
- strong alignment;
- consistent spacing/type tokens;
- real content states.

## Runtime verification

Source inspection is not visual proof.

When tooling permits:
- render the changed screen;
- inspect compact and large viewport/device;
- capture before/after;
- test changed interactions;
- inspect clipping, insets, truncation, accessibility, loading/error/empty states.

Create a fidelity ledger:
- expected;
- rendered evidence;
- mismatch;
- fix/disposition.

If render tooling is unavailable, mark appearance `UNVERIFIED`.

## Generated imagery inside UI

If the UI needs hero art, illustrations, textures, avatars, backgrounds, or
other generated raster assets, route that bounded asset task through
`thalarch-image` + `thalarch-imagegen`.

Do not use generated screenshots as implementation proof.

After the asset is created:
- verify it independently with `thalarch-visual-qa`;
- integrate it into the real UI;
- then capture the implemented runtime UI again for final review.

For exact icons, logos, charts, diagrams, or typography, prefer deterministic
vector/code-native production over raster generation.

Attribution

LUC4N3XLUC4N3X
View sourceSee grades on GitHubMore from LUC4N3X →
SSkills DirectorySkills Directory

Your tool, in front of Claude Code builders.

3 founder slots · $299/mo · GSC-verified traffic · sponsors can never buy grades.

See placements

Is this your skill, or is something wrong with this listing? Request removal or report an issue. Author removals are honored within 72 hours.

Comments (0)

No comments yet. Be the first to comment!

SSkills DirectorySkills Directory

Your tool, in front of Claude Code builders.

3 founder slots · $299/mo · GSC-verified traffic · sponsors can never buy grades.

See placements

Related Skills

Caveman

Ultra-compressed communication mode that cuts output tokens while keeping technical accuracy. Levels: lite, full, ultra and the wenyan variants. Use for /caveman, "caveman mode", "talk like caveman", "be brief" or "less tokens".

1074701 votes

Hyperplan

Adversarial multi-agent planning skill. Self-orchestrates 5 hostile category members (unspecified-low, unspecified-high, deep, ultrabrain, artistry) via team-mode for ruthless cross-critique debate, distills only the defensible insights, then MANDATORILY hands the distilled insight bundle to the `plan` agent for executable plan formalization. Use when planning needs maximum rigor and surfacing of weak assumptions, blind spots, and over-engineering. Triggers: 'hyperplan', 'hpp', '/hyperplan', ...

696481 votes

Writing Skills

Create and manage Claude Code skills in HASH repository following Anthropic best practices. Use when creating new skills, modifying skill-rules.json, understanding trigger patterns, working with hooks, debugging skill activation, or implementing progressive disclosure. Covers skill structure, YAML frontmatter, trigger types (keywords, intent patterns), UserPromptSubmit hook, and the 500-line rule. Includes validation and debugging with SKILL_DEBUG. Examples include rust-error-stack, cargo-dep...

3931 votes

Mcp Code Execution

Routes multi-tool workflows through MCP servers for large datasets and pipelines. Use when Bash tool overhead is limiting throughput on data-heavy tasks.

3351 votes

catchup

Recovers the conversation and failed tool calls of a previous Codex, Claude Code, Antigravity, Cline, Copilot CLI, Cursor, DeepSeek Harness, Kimi, OpenCode, Pi Agent, or ZCode session. Use when the user says "catch up", "what did the last session do", "get me up to speed", "I switched agents", asks to recover/summarize a previous session before continuing, or asks to diagnose or report a catchup failure. Do NOT use for the current conversation, git history, or any non-agent log.

691 votes
View all in ai-agents →