Nex Component Library Formatter
by Nex AI
Normalize and validate electronics component library metadata against a strict canonical schema.
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Works with the AI tools you already use
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
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
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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