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Agent skill

Framed Tech Dark Border Gradient

by nirholas in nirholas/three.ws

Create a framed dark technical design system with border-gradient shells, asymmetrical grid panels, mono utility labeling, and restrained monochrome atmosphere.

Apache-2.0Auto-check passedFrontend & Design

Install Framed Tech Dark Border Gradient

skills CLI
$ npx skills add nirholas/three.ws --skill framed-tech-dark-border-gradient -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install nirholas/three.ws framed-tech-dark-border-gradient --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/nirholas/three.ws.git skills-src && mkdir -p .claude/skills && cp -r skills-src/third_party/designcode-agent-skills/agent-skills/web-design/framed-tech-dark-border-gradient .claude/skills/framed-tech-dark-border-gradient && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
framed-tech-dark-border-gradient
GitHub stars
226
Used in
1 other repo
Token cost
~1.2k tokens
SKILL.md length
654 words
Files
4
Skills in repo
165
Repo updated
First seen
Licence
Apache-2.0

At a glance

Create a framed dark technical design system with border-gradient shells, asymmetrical grid panels, mono utility labeling, and restrained monochrome atmosphere.

  • Tasks that involve Design systems
  • SKILL.md covers Use When, Workflow, Scope and Visual target, plus 4 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Framed Tech Dark Border Gradient is an agent skill from nirholas/three.ws. Create a framed dark technical design system with border-gradient shells, asymmetrical grid panels, mono utility labeling, and restrained monochrome atmosphere.

Its SKILL.md is about 1.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files (for example `demo/PROMPT.md`).

It sits in Frontend & Design, covering Design systems. The repository describes itself as: Open-source platform for 3D AI agents. Turn text or a photo into a rigged, animated GLB avatar, give it an LLM brain, memory and a wallet, and embed it anywhere with one web… The licence is Apache-2.0.

When your agent uses it

  • Tasks that involve Design systems

Example prompts

  • “/framed-tech-dark-border-gradient”

What it can do on your machine

Read from SKILL.md and the folder at commit 238ef60. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Framed Tech Dark Border Gradient loads about 1.2k tokens when it runs. Until then it costs about 48 tokens; SKILL.md has 654 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~48
When it runs · the whole SKILL.md, loaded when a task matches
~1.2k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from nirholas/three.ws at commit 238ef60, republished under its Apache-2.0 licence (© nirholas). 654 words, ~1,220 tokens.

Download SKILL.mdSave it as .claude/skills/framed-tech-dark-border-gradient/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.
name
framed-tech-dark-border-gradient
description
Create a framed dark technical design system with border-gradient shells, asymmetrical grid panels, mono utility labeling, and restrained monochrome atmosphere.

Framed Tech Dark Border Gradient Skill

Use When

  • Create a framed dark technical design system with border-gradient shells, asymmetrical grid panels, mono utility labeling, and restrained monochrome atmosphere.

Workflow

Scope

  • Apply this as a full design-system direction across page shell, framing lines, cards, panels, typography, controls, and atmospheric background treatment.
  • Use it when the interface should feel premium, technical, dark, and architected around visible boundaries instead of soft floating cards.
  • This is not generic dashboard dark mode and not glossy glassmorphism. The identity should come from frame logic, border gradients, overshooting rails, and precise monochrome hierarchy.

Visual target

  • Build the page on a near-black foundation with subtle tonal separation between background, framed panels, and elevated interactive rows.
  • Use a strong outer container or application shell with visible edge rails, thin grid boundaries, and small corner markers that make the whole composition feel engineered.
  • Let one-pixel gradient borders or wrapper borders become a signature motif on containers, buttons, modules, and interactive cards.
  • Prefer a restrained monochrome palette of black, charcoal, smoke gray, white, and silver. If an accent color is needed, derive it from the brand and keep it sparse.
  • Pair quiet sans-serif typography with mono labels, uppercase system headings, and micro-metadata so the interface feels operational and precise.

Implementation guidance

  • Prefer asymmetrical grid layouts with clearly segmented panel blocks, such as a larger hero or information region balanced by a smaller visualization or utility panel.
  • Separate panels with thin dividers, border lines, or gap-based frame seams so every region reads as part of one measured container system.
  • Add vertical rails that extend slightly beyond the main shell, tiny corner squares, inset strokes, or short scanning lines to reinforce the technical framing.
  • Use border-gradient wrappers around premium surfaces, then place a darker inner fill inside them so the edge treatment stays crisp and visible.
  • Interactive rows, permission lists, nav items, and small control modules should use line-led states: active side bars, subtle fill lifts, hover brightening, and locked or muted inactive rows.
  • Background atmosphere should stay controlled and monochrome: soft wave fields, faint blur blooms, gentle flashlight falloff, or low-contrast moving line effects are appropriate.
  • Motion should feel calm and procedural, such as masked text reveals, scanning streaks, line sweeps, or slow ambient canvas movement rather than flashy transitions.
Show full SKILL.md (276 more words)Show less
  • Large master shell with border-x rails, overshooting outer guide lines, and tiny corner squares marking the container boundary.
  • Grid of dark technical panels divided by thin white or gray lines, with one hero panel, one utility or visualization panel, and one structured list panel.
  • Mono top rails using section codes, status labels, sequence markers, and utility metadata in uppercase tracking.
  • Border-gradient buttons, pills, and cards with dark inner surfaces and restrained white-light highlight rather than saturated color.
  • Active list rows using a left-edge bar, brighter text, and subtle translucent fill while inactive rows remain outlined or low-contrast.
  • Soft monochrome canvas effects behind or inside selected panels to add atmosphere without weakening readability.

Tuning knobs

  • Border brightness: increase or reduce the white-to-transparent edge gradient depending on how premium or severe the framing should feel.
  • Grid asymmetry: keep panel proportions uneven enough to feel composed, but balanced enough to remain usable and intentional.
  • Technical density: add or remove corner marks, overshoot rails, scan lines, and metadata depending on how instrument-like the page should become.
  • Surface opacity: tune inner fills between matte solid and lightly translucent dark glass without losing the crisp frame silhouette.
  • Accent restraint: default to monochrome, then introduce brand color only in small active cues if the page needs more identity.

Avoid

  • Flat black layouts with no visible container logic or boundary system.
  • Heavy colorful neon glows that overpower the monochrome frame language.
  • Thick borders, chunky shadows, or bloated cards that make the system feel clumsy instead of precise.
  • Soft consumer-app styling that removes the engineered shell and utility-label character.
  • Treating gradient borders as decoration only; they should actively define hierarchy and premium structure.

© nirholas, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 3 other files in third_party/designcode-agent-skills/agent-skills/web-design/framed-tech-dark-border-gradient of nirholas/three.ws.

  • SKILL.md
  • demo/PROMPT.md
  • demo/index.html
  • demo/preview.jpg

Open the folder on GitHubat commit 238ef60

Used in 1 other repository

We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in nirholas/three.ws, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Framed Tech Dark Border Gradient next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Framed Tech Dark Border Gradient compared with similar skills
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Figma use_figma Plugin API Ruleswarpdotdev/warp65k4 repos~4.4kAutomated safety check: PassAGPL-3.0
UI StylingOhh-889/skyroc79513 repos~2.5kAutomated safety check: PassMIT
Shadcnsupabase/evals14342 repos~4.5kAutomated safety check: PassApache-2.0

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Categories

Questions about Framed Tech Dark Border Gradient

What does Framed Tech Dark Border Gradient do?

Create a framed dark technical design system with border-gradient shells, asymmetrical grid panels, mono utility labeling, and restrained monochrome atmosphere. ws. Create a framed dark technical design system with border-gradient shells, asymmetrical grid panels, mono utility labeling, and restrained monochrome atmosphere.

When should I use Framed Tech Dark Border Gradient?

Framed Tech Dark Border Gradient fits situations like: tasks that involve Design systems.

How do I install Framed Tech Dark Border Gradient in Claude Code?

Run `npx skills add nirholas/three.ws --skill framed-tech-dark-border-gradient -a claude-code`. Or copy the skill folder (third_party/designcode-agent-skills/agent-skills/web-design/framed-tech-dark-border-gradient in nirholas/three.ws) into .claude/skills/framed-tech-dark-border-gradient in your project. Claude Code loads it when a task matches its description.

How do I install Framed Tech Dark Border Gradient in Codex?

Run `npx skills add nirholas/three.ws --skill framed-tech-dark-border-gradient -a codex`. Or copy the skill folder (third_party/designcode-agent-skills/agent-skills/web-design/framed-tech-dark-border-gradient in nirholas/three.ws) into .agents/skills/framed-tech-dark-border-gradient in your project. Codex loads it when a task matches its description.

Can I use Framed Tech Dark Border Gradient in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add nirholas/three.ws --skill framed-tech-dark-border-gradient -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/framed-tech-dark-border-gradient, .gemini/skills/framed-tech-dark-border-gradient, .github/skills/framed-tech-dark-border-gradient and .opencode/skills/framed-tech-dark-border-gradient in your project.

What does Framed Tech Dark Border Gradient need to run?

SKILL.md names no scripts, command-line tools or credentials: Framed Tech Dark Border Gradient is instructions for the agent only.

Does Framed Tech Dark Border Gradient access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Framed Tech Dark Border Gradient safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Framed Tech Dark Border Gradient use?

Framed Tech Dark Border Gradient is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Framed Tech Dark Border Gradient use?

About 1.2k tokens (SKILL.md is roughly 4.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Framed Tech Dark Border Gradient?

Skills that share tags, products or a category with Framed Tech Dark Border Gradient: Impeccable (bestofjs/bestofjs, 3.1k stars), Figma Design System Builder (warpdotdev/warp, 65k stars), Figma use_figma Plugin API Rules (warpdotdev/warp, 65k stars) and UI Styling (Ohh-889/skyroc, 795 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Framed Tech Dark Border Gradient?

nirholas (a GitHub user) maintains it in nirholas/three.ws, which has 226 GitHub stars. The repository holds 165 skills in this directory. The repository was last updated on October 7, 2026.

Source: nirholas/three.ws on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.