Instrument Data To Allotrope
技能 已验证 活跃Convert laboratory instrument output files (PDF, CSV, Excel, TXT) to Allotrope Simple Model (ASM) JSON format or flattened 2D CSV. Use this skill when scientists need to standardize instrument data for LIMS systems, data lakes, or downstream analysis. Supports auto-detection of instrument types. Outputs include full ASM JSON, flattened CSV for easy import, and exportable Python code for data engineers. Common triggers include converting instrument files, standardizing lab data, preparing data for upload to LIMS/ELN systems, or generating parser code for production pipelines.
Standardize laboratory instrument data into compliant formats for LIMS systems, data lakes, or downstream analysis, improving data integrity and interoperability.
功能
- Convert instrument files to ASM JSON
- Generate flattened CSV output
- Export standalone Python parser code
- Support auto-detection of instrument types
- Handle PDF, CSV, Excel, and TXT input formats
使用场景
- Standardizing raw lab data for LIMS upload
- Preparing instrument output for data lakes or analysis pipelines
- Generating parser code for data engineers to integrate into production workflows
- Ensuring data compliance with the Allotrope Simple Model standard
非目标
- Replacing the instrument's native data export functionality
- Directly interfacing with LIMS systems (focus is on data format conversion)
- Performing complex scientific analysis on the data
- Handling proprietary data formats not parsable by allotropy or flexible CSV/Excel/TXT readers
Trust
- info:Issues AttentionThere are 29 open issues and 4 closed issues in the last 90 days, indicating active development but a slower closure rate for issues.
Execution
- info:Pinned dependenciesDependencies are listed, but specific version pinning is not explicitly shown in the README or scripts. Installation instructions use pip without lockfiles.
安装
请先添加 Marketplace
/plugin marketplace add anthropics/knowledge-work-plugins/plugin install bio-research@knowledge-work-plugins质量评分
已验证类似扩展
Chdb Sql
98Python 的进程内 ClickHouse SQL 引擎 — 无需服务器即可直接在本地文件、远程数据库和云存储上运行 ClickHouse SQL 查询。当用户希望针对 Parquet/CSV/JSON 文件编写 SQL 查询、使用 ClickHouse 表函数(如 mysql()、s3()、postgresql()、iceberg()、deltaLake() 等)、使用 Session 构建有状态的分析管道、使用参数化查询、窗口函数或其他高级 ClickHouse SQL 功能时使用。当用户明确提及 chdb.query()、ClickHouse SQL 语法或希望进行跨源 SQL 连接时也请使用。请勿用于 pandas 风格的 DataFrame 操作 — 请改用 chdb-datastore。
Spreadsheet Generation API
100Generate CSV, Markdown, and XLSX spreadsheets from structured tabular data.
Geofeed Tuner
100Use this skill whenever the user mentions IP geolocation feeds, RFC 8805, geofeeds, or wants help creating, tuning, validating, or publishing a self-published IP geolocation feed in CSV format. Intended user audience is a network operator, ISP, mobile carrier, cloud provider, hosting company, IXP, or satellite provider asking about IP geolocation accuracy, or geofeed authoring best practices. Helps create, refine, and improve CSV-format IP geolocation feeds with opinionated recommendations beyond RFC 8805 compliance. Do NOT use for private or internal IP address management — applies only to publicly routable IP addresses.
Website Extraction Api
100Extract typed JSON from public website pages using a schema.
Extract Real Estate Listing
100Extract property address, price, room count, and features from a listing document into structured JSON for MLS and property platforms.
Extract Medical Record
100Extract patient details, diagnoses, and medications from a medical record into structured JSON for healthcare workflows.