Nex Component Library Formatter

    by Nex AI

    1

    Normalize and validate electronics component library metadata against a strict canonical schema.

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    Works with the AI tools you already use

    CClaude CodeCCursorCCodex CLIGGitHub CopilotGGemini CLIVVS CodeWWindsurfMManus+14 more

    See it in action

    You say

    Format my component library at data/parts.csv and fix any lifecycle naming issues.

    Your agent does

    I've processed data/parts.csv.

    • Validated 142 rows.
    • Normalized 12 manufacturer names to title-case.
    • Fixed 5 lifecycle strings (e.g., 'active' to 'Active').
    • Reported 3 rows missing required MPNs (Rows: 42, 87, 101). Cleaned file saved to data/parts_fixed.csv.

    What you get

    Standardize manufacturer and lifecycle strings across large component CSVs.Identify missing required fields like footprints or MPNs in part libraries.Enforce character limits on component descriptions for EDA compatibility.Automate the cleanup of ad-hoc part entries into a professional schema.

    About this skill

    The problem

    Component libraries often suffer from inconsistent naming, missing manufacturer part numbers, and non-standard lifecycle statuses. Manually auditing CSVs for PCB design software is tedious and prone to human error, leading to fabrication delays or procurement issues.

    What it does

    • Normalizes component metadata into a canonical schema including footprints, MPNs, and manufacturers.
    • Automatically trims whitespace, title-cases manufacturer names, and standardizes lifecycle strings.
    • Validates required fields like symbol name and description length to ensure library integrity.
    • Generates detailed gap reports identifying exactly which rows and fields are missing data.
    • Exports cleaned and formatted CSV files ready for import into EDA tools.

    Frameworks & tools

    Python, pytest, and CLI-based CSV processing scripts.

    Why this beats prompting it yourself

    General-purpose LLMs struggle with strict schema enforcement across large datasets and often hallucinate "fixes" for part numbers. This skill uses a deterministic validation script paired with an agent to ensure 100% compliance with your specific library standards without manual data entry.

    Use cases

    • Cleaning up legacy component libraries before migrating to new EDA software.
    • Validating a new batch of parts from a distributor or contractor.
    • Standardizing footprint and symbol naming conventions across a hardware team.
    • Auditing BOM components for lifecycle status and datasheet links.

    How to install

    Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.

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    Creator

    Nex AI
    Nex AI

    249 skills on Agensi

    Founder of Nex AI. I build production-grade Claude Skills from systems that actually run: multi-tenant SaaS, Telegram agents, Raspberry Pi infrastructure, 3D multiplayer rooms. Every skill ships battle-tested patterns, not theory. 33+ open source skills published, commercial catalog growing.

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