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DesktopGo: Skill for Claude Code

.agents/skills/delight/SKILL.md

delight is a skill for Claude Code, Codex from Aixbox/DesktopGo. It costs 56 tokens per session (2,187 once invoked), scanned A, a copy of delight, MIT.

Add moments of joy, personality, and unexpected touches that make interfaces memorable and enjoyable to use. Elevates functional to delightful. Use when the user asks to add polish, personality, animations, micro-interactions, delight, or make an interface feel fun or memorable.

Skill for Claude CodeCodex

Written for Claude Code: user-invocable in frontmatter. Also seen: installed under .agents/ (shared by several agents).

This is Aixbox/DesktopGo's own configuration. It tells Claude Code and Codex how to work on DesktopGo itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything DesktopGo configures →

not rated 63repo 2d ago A scan 56 tokens copy · 97% MIT
View source ↗ Aixbox/DesktopGo desktopgo.aixbox.top
Reuse

Borrowing it

Nothing to install: this file belongs to Aixbox/DesktopGo. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/Aixbox/DesktopGo/desktop/.agents/skills/delight/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/Aixbox/DesktopGo

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.

agentmods badge for delight

README.md
[![agentmods](https://agentmods.dev/badge/skills/aixbox/desktopgo/delight/github.svg)](https://agentmods.dev/skills/aixbox/desktopgo/delight)
Your own site
<a href="https://agentmods.dev/skills/aixbox/desktopgo/delight"><img src="https://agentmods.dev/badge/skills/aixbox/desktopgo/delight/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for delight

Your own site · 80×15
<a href="https://agentmods.dev/skills/aixbox/desktopgo/delight"><img src="https://agentmods.dev/badge/skills/aixbox/desktopgo/delight.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 56 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,187 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 97% 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 $0.00056 $0.02187
Opus 5.5 $0.00022 $0.00875
Sonnet 5.5 $0.00011 $0.00437
Haiku 4.5 $0.00006 $0.00219

Measured today against content hash d997a72e069d, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

delight 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 today.

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

97% identical to delight — 7 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.

.agents/skills/delight/SKILL.md · 303 lines

How it starts

The opening of the file, as written. The whole thing — 303 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Identify opportunities to add moments of joy, personality, and unexpected polish that transform functional interfaces into delightful experiences.

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. Additionally gather: what's appropriate for the domain (playful vs professional vs quirky vs elegant).

Assess Delight Opportunities

Identify where delight would enhance (not distract from) the experience:

  1. Find natural delight moments:

    • Success states: Completed actions (save, send, publish)
    • Empty states: First-time experiences, onboarding
    • Loading states: Waiting periods that could be entertaining
    • Achievements: Milestones, streaks, completions
    • Interactions: Hover states, clicks, drags
    • Errors: Softening frustrating moments
    • Easter eggs: Hidden discoveries for curious users

  2. Understand the context:

    • What's the brand personality? (Playful? Professional? Quirky? Elegant?)
    • Who's the audience? (Tech-savvy? Creative? Corporate?)
    • What's the emotional context? (Accomplishment? Exploration? Frustration?)
    • What's appropriate? (Banking app ≠ gaming app)

  3. Define delight strategy:

    • Subtle sophistication: Refined micro-interactions (luxury brands)
    • Playful personality: Whimsical illustrations and copy (consumer apps)
    • Helpful surprises: Anticipating needs before users ask (productivity tools)
    • Sensory richness: Satisfying sounds, smooth animations (creative tools)

If any of these are unclear from the codebase, ask the user directly to clarify what you cannot infer.

CRITICAL: Delight should enhance usability, never obscure it. If users notice the delight more than accomplishing their goal, you've gone too far.

Delight Principles

Follow these guidelines:

Read the full file on GitHub · 303 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. today First seen · 303 lines · 56 tokens per session scan A d997a72e069d

Subscribe to this mod's changes

delight is a skill published in the GitHub repository Aixbox/DesktopGo (63 stars, last pushed 2d ago), licensed MIT. It adds 56 tokens to every session and 2,187 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 97% identical to delight, differing in 7 lines, and is treated as a copy.

Creative and mediaProductivitydesktop-launcherdesktop-organizationeverything-sdkfile-searchlaunchpad
Related

delight compared with skills from other repositories

delight next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
delightAixbox/DesktopGoSkill632d agoMITA56Claude Code, Codex
orbit-notionnexu-io/open-designSkill106kyesterdayApache-2.0A117Claude Code, Codex
agentmailpaperclipai/paperclipSkill111kyesterdayMITA30Claude Code, Codex
Cortexdanielmiessler/LifeOSSkill20kyesterdayMITA184Claude Code
rowboat-spacesrowboatlabs/rowboatSkill18kyesterdayApache-2.0A60Claude Code, Codex
feishuHmbown/CodeWhaleSkill41k5d agoMITA33Claude Code, Codex
mochi-remindkirodotdev/KiroCrewSkill4.8kyesterdayApache-2.0A20Claude Code, Codex