🎨
FrontendJavaScript

IJFW Design

by FerroxLabs

IJFW Design is a Frontend skill for Claude Code, published by FerroxLabs in ijfw.

210 stars40 forkson FerroxLabs/ijfwAdded 2026/09/04Repository updated 2026/08/31
ai-agentsai-codingclaude-codecodexcursordeveloper-toolsgemini-cligithub-copilotmcpmcp-servermemorynodejstypescriptwindsurf
Install in seconds
Install IJFW Design
Copy IJFW Design into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.
terminal
npx degit https://github.com/FerroxLabs/ijfw/tree/main/claude/skills/ijfw-design ~/.claude/skills/ijfw-design

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/FerroxLabs/ijfw.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file
claude/skills/ijfw-design/SKILL.md in FerroxLabs/ijfw
Installs to
~/.claude/skills/ijfw-design
Collection
One of 25 skills cataloged from this repository
Category
Frontend641 skills

What IJFW Design does

IJFW Design turns design requests into real HTML mockups, live previews, and durable design notes. Use it for UI, layout, accessibility, branding, and visual polish work.

IJFW Design is cataloged under Frontend on DirSkills. IJFW Design comes from a repository tagged ai-agents, ai-coding, claude-code, codex and cursor.

Frequently asked about IJFW Design

  • What else does FerroxLabs publish alongside IJFW Design?

    IJFW Design is one of 25 skills that DirSkills catalogs from FerroxLabs/ijfw, the repository it ships in. Its siblings there include Auto Memorize, Critique and IJFW AGENTS.md Manager. Each one is a separate skill with its own page in this directory, installs the same way IJFW Design does, and is maintained by FerroxLabs in that same repository. The rest of the collection is listed on the FerroxLabs/ijfw page.

  • How does IJFW Design compare to other Frontend skills?

    IJFW Design ranks #597 by stars among the 641 Frontend skills in this catalog. The most-starred ones next to it are Angular Developer, Android Clean Architecture and Accessibility. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of IJFW Design against them. Open each page to compare what they document and how they install.

More from FerroxLabs/ijfw

IJFW Design is one of 25 skills cataloged on DirSkills from FerroxLabs/ijfw.

See all 25 skills
🧠
2h ago

Auto Memorize

Auto Memorize extracts lessons, errors, fixes, and user preferences from a session at the end and stores them as structured local memory. It asks for consent on first run and stays local unless an API model is configured.
AI Engineering
21040
🧐
2h ago

Critique

Critique challenges decisions, surfaces assumptions, and offers concrete counter-arguments when someone asks for a second opinion or devil’s advocate. It also reframes non-trivial refactors toward the elegant solution before choosing a pragmatic fix.
AI Engineering
21040
🤖
2h ago

IJFW AGENTS.md Manager

IJFW AGENTS.md Manager maintains a project's canonical AGENTS.md file and its marker blocks. Use it when updating agent instructions or regenerating the file from IJFW-generated agent data.
AI Engineering
21040
✍️
2h ago

IJFW Commit

IJFW Commit writes terse Conventional Commit messages with the right type, scope, and subject length. Use it when you need a clean git commit message and an optional follow-up critique run.
Writing
21040
🗜️
2h ago

IJFW Compress

IJFW Compress reduces prose in memory or context files while preserving headings, code blocks, URLs, paths, commands, dates, versions, and technical terms. Use it when you need to cut tokens without changing code or meaning.
Automation
21040
🧮
2h ago

IJFW Compute

IJFW Compute runs sandboxed scripts for large or repetitive data tasks like log analysis, aggregation, deduping, and counting. It also supports indexing and searching findings so recurring questions can reuse prior results.
AI Engineering
21040