Install this footprint

Paste this into Claude Code (VS Code panel, Adom editor, or terminal) to install:

Search the Adom Wiki for the footprint "QFN-56-1EP (RP2040 / RP2350)" (slug: qfn-56-1ep-rp2040) at https://wiki-ufypy5dpx93o.adom.cloud/wiki/footprints/qfn-56-1ep-rp2040. Download the .kicad_mod file and any .glb 3D model from the wiki page's static assets. Add the footprint to my current KiCad project's footprints/ directory and register in fp-lib-table.
Category Microcontroller
Library Package_DFN_QFN
Footprint QFN-56-1EP_7x7mm_P0.4mm_EP3.2x3.2mm
Pads 57
Pitch 0.4mm
Body Size 7.0 x 7.0mm
Mounting Surface Mount
Footprint
3D Model

AI Skill Technical Reference

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QFN-56-1EP (RP2040 / RP2350)

Package: QFN-56-1EP_7x7mm_P0.4mm_EP3.2x3.2mm Library: Package_DFN_QFN Category: Microcontroller Pads: 57 Pitch: 0.4mm Body Size: 7.0 x 7.0mm Mounting: Surface Mount

Description

The QFN-56-1EP is a high-density 56-pin Quad Flat No-lead package with 0.4mm pitch and a 7 x 7mm body. This is the package for the Raspberry Pi RP2040 — the dual-core ARM Cortex-M0+ microcontroller that powers the Raspberry Pi Pico and hundreds of third-party boards. The RP2350 (dual Cortex-M33 / RISC-V) uses a nearly identical QFN footprint at the same 7x7mm body size. The 3.2 x 3.2mm exposed thermal pad provides excellent heat dissipation. At 0.4mm pitch, this package requires reflow soldering with a precision stencil.

Usage Notes

  • Designed for reflow soldering (paste stencil recommended)
  • Pad size optimized for 0.4mm pitch components
  • Follow IPC-7351 land pattern guidelines

KiCad Library Reference

This footprint is from the official KiCad Package_DFN_QFN library. Full identifier: Package_DFN_QFN:QFN-56-1EP_7x7mm_P0.4mm_EP3.2x3.2mm

To use in your project:

  1. Open the Footprint Library Manager in KiCad
  2. Search for QFN-56-1EP_7x7mm_P0.4mm_EP3.2x3.2mm
  3. Assign to your schematic symbol in the Symbol Properties dialog

Sub-Skills
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What are Sub-Skills?

Sub-skills are community-contributed AI skill extensions for this component. They teach AI assistants about specific tools, configurators, or workflows.

Examples:

  • A manufacturer’s configuration tool for a motor controller
  • A community-written design guide for an amplifier circuit
  • An automated test/validation script for a sensor module

How to add one: Click Add Sub-Skill, provide the URL to your skill and a brief description. Submissions are reviewed by the Adom team before going live.

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0 revisions · KiCad Library: Package_DFN_QFN:QFN-56-1EP_7x7mm_P0.4mm_EP3.2x3.2mm · Updated 2026-03-02 17:31:36