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Element14

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aklofas
element14

Search Newark, Farnell, and element14 for electronic components — find parts by MPN or distributor part number, check pricing/stock, download datasheets, analyze specifications. One unified API covers all three storefronts (Newark for US, Farnell for UK/EU, element14 for APAC). Free API key, simple query-parameter auth, no OAuth. Datasheets download directly from farnell.com CDN with no bot protection. Sync and maintain a local datasheets directory for a KiCad project, or use batch MPN-list seeding (`--mpn-list`) for bulk workflows without a project. Use this skill when the user mentions Newark, Farnell, element14, needs parts from a non-US distributor, wants to compare pricing across regions, or needs datasheets from a source that doesn't require complex API auth. For package cross-reference tables and BOM workflow, see the `bom` skill.

Overview

Publisheraklofas
Repositorykicad-happy
Skill nameelement14
Stars
1.2K
Forks
109
Bundled files
2
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 2 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by aklofas on GitHub. Read the source before you install it.

Installation

Install the Element14 AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/aklofas/kicad-happy.git /tmp/kicad-happy
mkdir -p .claude/skills
cp -r /tmp/kicad-happy/skills/element14 .claude/skills/element14
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Element14 in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Element14 on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Element14 is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

element14 / Newark / Farnell — Component Search, Datasheets & Ordering

Related Skills

SkillPurpose
kicadSchematic analysis — extracts MPNs for part lookup
bomBOM management — orchestrates sourcing across distributors
spiceUses element14 parametric data for behavioral SPICE models

One API covers three regional storefronts — same catalog, same datasheets, only pricing/stock vary by region:

StorefrontRegionStore ID
NewarkNorth Americawww.newark.com
FarnellUK / Europeuk.farnell.com
element14Asia-Pacificau.element14.com

For BOM management and export workflows, see bom.

Key Differences from DigiKey/Mouser

  • Simple auth — API key as a query parameter, no OAuth flow
  • Free API key — register at partner.element14.com, courtesy usage allowance
  • Global coverage — same API covers US (Newark), EU (Farnell), APAC (element14)
  • Unprotected PDFs — datasheets hosted on farnell.com CDN, download freely with no bot protection
  • Datasheet URL in API responseresponseGroup=medium includes datasheets[].url

API Credential Setup

  1. Register at partner.element14.com/member/register
    • Free account — just username, email, password. No credit card needed.
    • Provides a "courtesy usage allowance" (2 calls/sec, 1,000 calls/day — sufficient for normal use)
  2. Register an application — after logging in, go to My API Keys and click "Get API Keys"
    • App name: anything (e.g., "kicad-happy")
    • Type: "Desktop application"
    • Users: "1-10"
    • Commercial: No
    • Advertising: No
    • Check "Issue a new key for Product Search API" → select "Basic" tier
    • Agree to Terms of Service and click "Register Application"
  3. Copy your API key — a 24-character alphanumeric string shown on the My API Keys page
  4. Set the environment variable ELEMENT14_API_KEY before running the scripts:
    bash
    export ELEMENT14_API_KEY=your_api_key_here
    If credentials are stored in a central secrets file (e.g., ~/.config/secrets.env), load them first:
    bash
    export $(grep -v '^#' ~/.config/secrets.env | grep -v '^$' | xargs)

Product Search API

Base URL: https://api.element14.com/catalog/products

All requests use GET with query parameters. Authentication is via callInfo.apiKey.

Search Modes

The term parameter supports three search types:

ModeFormatExample
Keywordany:<keywords>term=any:100nF 0402 X7R
MPNmanuPartNum:<mpn>term=manuPartNum:GRM155R71C104KA88D
Distributor PNid:<sku>term=id:94AK6874

Full Example

GET https://api.element14.com/catalog/products
  ?term=manuPartNum:GRM155R71C104KA88D
  &storeInfo.id=www.newark.com
  &resultsSettings.offset=0
  &resultsSettings.numberOfResults=10
  &resultsSettings.responseGroup=medium
  &callInfo.responseDataFormat=JSON
  &callInfo.apiKey=YOUR_KEY

Response Groups

GroupFields
smallSKU, displayName, brandName, MPN, attributes
medium+ datasheets[], prices[], stock
large+ images, related products, country of origin
pricesTiered pricing only
inventoryStock levels by warehouse/region

Response Format

With responseGroup=medium, the response looks like:

json
{
  "manufacturerPartNumberSearchReturn": {
    "numberOfResults": 5,
    "products": [
      {
        "sku": "94AK6874",
        "displayName": "Murata GRM155R71C104KA88D",
        "translatedManufacturerPartNumber": "GRM155R71C104KA88D",
        "brandName": "Murata Electronics",
        "datasheets": [
          {
            "type": "TechnicalDataSheet",
            "description": "Datasheet",
            "url": "https://www.farnell.com/datasheets/74273.pdf"
          }
        ],
        "prices": [
          {
            "from": 1,
            "to": 9,
            "cost": 0.156
          }
        ],
        "stock": {
          "level": 45000,
          "leastLeadTime": 0,
          "status": 4,
          "statusMessage": "In Stock"
        },
        "attributes": [
          {"attributeLabel": "Capacitance", "attributeUnit": "", "attributeValue": "100nF"},
          {"attributeLabel": "Voltage Rating", "attributeUnit": "V", "attributeValue": "16"}
        ],
        "rohsStatusCode": "YES"
      }
    ]
  }
}

Key fields:

  • sku — Newark/Farnell/element14 part number
  • translatedManufacturerPartNumber — MPN
  • brandName — manufacturer
  • datasheets[].urldirect PDF URL (farnell.com CDN, no bot protection)
  • datasheets[].type — usually TechnicalDataSheet
  • prices[] — tiered pricing with from, to, cost
  • stock.level — quantity in stock
  • stock.statusMessage — human-readable availability
  • attributes[] — parametric specs (label, unit, value)
  • rohsStatusCode — RoHS compliance (YES/NO)

Store IDs

Common store IDs for the storeInfo.id parameter:

Store IDRegion
www.newark.comUS (default)
uk.farnell.comUK
www.farnell.comEU
au.element14.comAustralia
sg.element14.comSingapore
in.element14.comIndia

Rate Limits

No documented rate limits beyond the courtesy usage allowance. Be respectful — use 0.5s delays between calls.

Filters

Add to query parameters:

  • resultsSettings.refinements.filter=rohsCompliant — RoHS parts only
  • resultsSettings.refinements.filter=inStock — in-stock only

Pagination

  • resultsSettings.offset — starting index (0-based)
  • resultsSettings.numberOfResults — max 50 per page
  • Only the first 100 results are reliably pageable

Datasheet Download & Sync

element14's farnell.com CDN serves datasheet PDFs directly — no bot protection, no special headers needed. Datasheet URLs come from the API response (datasheets[].url).

Datasheet Directory Sync

Use sync_datasheets_element14.py to maintain a datasheets/ directory alongside a KiCad project. Same workflow and manifest.json format as the DigiKey, Mouser, and LCSC skills.

bash
# Sync datasheets for a KiCad project
python3 <skill-path>/scripts/sync_datasheets_element14.py <file.kicad_sch>

# Preview what would be downloaded
python3 <skill-path>/scripts/sync_datasheets_element14.py <file.kicad_sch> --dry-run

# Retry previously failed downloads
python3 <skill-path>/scripts/sync_datasheets_element14.py <file.kicad_sch> --force

# Use a specific store (default: www.newark.com)
python3 <skill-path>/scripts/sync_datasheets_element14.py <file.kicad_sch> --store uk.farnell.com

# Custom output directory
python3 <skill-path>/scripts/sync_datasheets_element14.py <file.kicad_sch> -o ./my-datasheets

# Parallel downloads (3 workers)
python3 <skill-path>/scripts/sync_datasheets_element14.py <file.kicad_sch> --parallel 3

# Batch mode — sync from a plain MPN list (no KiCad project required)
python3 <skill-path>/scripts/sync_datasheets_element14.py --mpn-list mpns.txt --output ./datasheets

MPN-list batch mode (KH-312) — when you have a list of MPNs but no KiCad project to point at. One MPN per line; blank lines and # comments (full-line and inline) are skipped; generic values are filtered via is_real_mpn() and de-duplicated. Output defaults to ./datasheets/ in the current working directory when --output is omitted. Note: ELEMENT14_API_KEY is checked unconditionally at startup, so --dry-run still requires the env var to be set even though no network calls are made.

The script:

  • Runs the kicad schematic analyzer to extract components, MPNs, and distributor PNs
  • Accepts any identifier — MPN, Newark/Farnell PN, or other distributor PNs from KiCad symbol properties
  • Prefers MPN search (manuPartNum:) for exact match — falls back to keyword search
  • Downloads from farnell.com CDN — direct PDF URLs, no bot protection
  • Writes manifest.json manifest — same format as DigiKey/Mouser/LCSC skills
  • Verifies PDF content — checks MPN, manufacturer, and description keywords
  • Rate-limited — 0.5s between API calls (configurable with --delay)
  • Saves progress incrementally — safe to interrupt

Single Datasheet Download

Use fetch_datasheet_element14.py for one-off downloads.

bash
# Search by MPN
python3 <skill-path>/scripts/fetch_datasheet_element14.py --search "GRM155R71C104KA88D" -o datasheet.pdf

# Search by Newark/Farnell part number
python3 <skill-path>/scripts/fetch_datasheet_element14.py --search "94AK6874" -o datasheet.pdf

# Direct URL download
python3 <skill-path>/scripts/fetch_datasheet_element14.py "https://www.farnell.com/datasheets/74273.pdf" -o datasheet.pdf

# JSON output
python3 <skill-path>/scripts/fetch_datasheet_element14.py --search "GRM155R71C104KA88D" --json

The script:

  • OS-agnostic — uses requestsurllibplaywright fallback chain
  • Validates PDF headers — rejects HTML error pages
  • Falls back to alternative manufacturer sources when element14 URL fails
  • Exit codes: 0 = success, 1 = download failed, 2 = search/API error
  • Dependencies:
    • pip install requests (recommended; urllib fallback works fine for element14)
    • pip install playwright && playwright install chromium (optional; rarely needed)

Web Search Fallback

If the API is unavailable, search by fetching product pages directly:

https://www.newark.com/search?st=<query>
https://uk.farnell.com/search?st=<query>

Tips

  • Use responseGroup=medium — includes datasheets and pricing without the overhead of large
  • Use manuPartNum: prefix for exact MPN matches; any: for keyword search
  • Cross-reference using translatedManufacturerPartNumber (MPN) across DigiKey/Mouser/LCSC
  • Useful for international users where DigiKey/Mouser shipping is expensive

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Element14 AI skill do?

Search Newark, Farnell, and element14 for electronic components — find parts by MPN or distributor part number, check pricing/stock, download datasheets, analyze specifications. One unified API covers all three storefronts (Newark for US, Farnell for UK/EU, element14 for APAC). Free API key, simple query-parameter auth, no OAuth. Datasheets download directly from farnell.com CDN with no bot protection. Sync and maintain a local datasheets directory for a KiCad project, or use batch MPN-list seeding (`--mpn-list`) for bulk workflows without a project. Use this skill when the user mentions Ne...

Why use Element14 on TypingMind?

Because you install it once and use it with any model. Element14 is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Element14 in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/aklofas/kicad-happy/tree/main/skills/element14. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Element14?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Element14?

As many as you like. As long as a model supports skills, you can use Element14 with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Element14 AI skill free?

Yes. It is published on GitHub by aklofas under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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