Nanomaterial LIMS Manager

SkillDev tools

Laboratory Information Management System skill for nanomaterial sample tracking and data management

Instructions available. Your AI can read the instructions. Execution depends on the setup they require.

Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.

Then ask your AI: use the Nanomaterial LIMS Manager skill

What this skill tells your AI

The instructions your AI receives, as published by a5c-ai/babysitter in library/specializations/domains/science/nanotechnology/skills/nanomaterial-lims-manager/SKILL.md and read by ahel’s review.

Purpose

The Nanomaterial LIMS Manager skill provides comprehensive laboratory information management for nanomaterial research, enabling systematic sample tracking, data linking, and quality assurance throughout the development lifecycle.

Capabilities

  • Sample tracking and chain of custody
  • Synthesis parameter logging
  • Characterization data linking
  • Batch genealogy tracking
  • Quality control checkpoints
  • Regulatory documentation

Usage Guidelines

LIMS Operations

  1. Sample Management

    • Register new samples
    • Track sample locations
    • Maintain chain of custody
  2. Data Integration

    • Link synthesis records
    • Associate characterization data
    • Build batch genealogy
  3. Quality Management

    • Define QC checkpoints
    • Track specifications
    • Generate certificates

Process Integration

  • All synthesis and characterization processes
  • Nanomaterial Scale-Up and Process Transfer

Input Schema

{
  "operation": "register|track|query|report",
  "sample_id": "string",
  "sample_type": "nanoparticle|thin_film|device",
  "metadata": {
    "project": "string",
    "synthesized_by": "string",
    "synthesis_date": "string"
  }
}

Output Schema

{
  "sample_record": {
    "sample_id": "string",
    "status": "active|consumed|archived",
    "location": "string",
    "linked_data": [{
      "data_type": "string",
      "record_id": "string"
    }]
  },
  "genealogy": {
    "parent_batch": "string",
    "derived_samples": ["string"]
  },
  "qc_status": {
    "checkpoints_passed": "number",
    "checkpoints_total": "number",
    "status": "pass|fail|pending"
  }
}

Signals

GitHub stars
2k
Forks
112
Last commit
Sep 2026
Advanced
Item type
skill
Key
nanomaterial-lims-manager
Source
github.com/a5c-ai/babysitter