Agent Skill
Design Brief skill
design-briefnexu-io/open-designplugins/_official/examples/design-brief/SKILL.md
Parse a structured design brief written in I-Lang protocol format into a concrete design spec. Eliminates ambiguity from vague requests like "make it professional" by requiring explicit dimensions: palette, typography, layout, mood, density, and constraints. Trigger keywords: "design brief", "create a design brief", "ilang brief", "structured brief".
always on
76 tokname + description
once used
3,263 tokSKILL.md body
bundled files
111 KB
repo stars
103kGitHub
Install the Design Brief skill
Skills CLI (Claude Code, Codex, Cursor and others)
npx skills add https://github.com/nexu-io/open-design --skill design-brief
Claude Code, by hand (all projects)
git clone --depth 1 https://github.com/nexu-io/open-design.git /tmp/open-design mkdir -p ~/.claude/skills cp -R /tmp/open-design/plugins/_official/examples/design-brief ~/.claude/skills/design-brief
For one project only, copy the folder into .claude/skills/ in that project instead. The agent picks it up when a task matches its description.
What it costs your context
Agent Skills load in three steps. Tokens counted with the o200k tokenizer; your model's count will differ a little.
| When | What loads | Cost |
|---|---|---|
| Every session | Name and description | 76 tok |
| When the agent uses it | The SKILL.md instructions | 3,263 tok |
| Only if opened | 1 bundled files (11 KB) | varies |
Until it is used, design-brief costs about 18× less than the median MCP server we measured (1,362 tokens on every turn). Installing all 150 skills from nexu-io/open-design would load 9,514 tokens of descriptions. Skills vs MCP study
Checks
Our checks found nothing to flag: it follows the Agent Skills specification's naming and size guidelines and doesn't pipe downloads into a shell.
Checked 2026-10-22 · method
What's inside
The headings of its SKILL.md. Read the full file on GitHub.
- Design Brief Skill
- Background
- 1. Accept input
- Option A: I-Lang structured brief
- Option B: Natural language
- Natural language → I-Lang mapping
- 2. Validate dimensions
- 2.1 Symbolic → concrete token resolution
- 2.2 Default resolution rules
- 3. Generate DESIGN.md
- 4. Generate brief-preview.html
- 5. Report unspecified dimensions
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