nature-experiment-log

Converts experiment images, voice transcripts, and notes into structured Obsidian Markdown logs.

2|Updated Jun 18, 2026
One-click install
npx skills add https://github.com/AlexenderSokolov/deepscientist-lite-codex-plugin --skill nature-experiment-log-alexendersokolov
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: nature-experiment-log
Source: https://github.com/AlexenderSokolov/deepscientist-lite-codex-plugin/tree/main/plugins/deepscientist-lite-academic/skills/nature-experiment-log
Command: npx skills add https://github.com/AlexenderSokolov/deepscientist-lite-codex-plugin --skill nature-experiment-log-alexendersokolov

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve? Raw experiment materials like photos, voice memos, and chat messages are scattered and hard to trace, making it difficult to reconstruct what was done, under which conditions, and with what results. This Skill standardizes those materials into traceable experiment logs with YAML frontmatter for Obsidian or plain Markdown workflows. ## Core Features & Use Cases - Structured Log Generation: Turns images, voice transcripts, and text notes into standard experiment logs with YAML frontmatter, experiment IDs, and sample batch IDs. - Raw Material Archiving: Organizes source photos, audio, and chat records into a raw archive directory linked from each log entry. - Anomaly and Equipment Tracking: Provides templates for anomaly records, equipment/reagent tracking, and a Dataview-powered experiment index dashboard. - Use Case: A materials researcher records "316L chloride-salt corrosion at 500°C for 300 h in Ar, mass loss 0.0032 g" and receives a complete Obsidian log entry with frontmatter, missing-field checklist, and suggested next steps. ## Quick Start Ask the assistant to record an experiment by describing the sample, conditions, steps, and observations, and specify your Obsidian vault or output directory.

Frequently Asked Questions about nature-experiment-log

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I create a structured lab experiment log in Obsidian?▼

Provide the experiment date, sample, conditions, steps, and observations, and the skill generates a Markdown log with YAML frontmatter written to your vault under wiki/实验日志. It also archives raw photos and audio into a linked raw/experiments directory.

How to convert voice notes or photos into an experiment record?▼

Submit voice transcripts, experiment photos, microscopy images, or instrument screenshots as input. The skill extracts structured fields like temperature, atmosphere, and mass, then produces a standard log and lists any missing information as AUTHOR_INPUT_NEEDED items.

Does this experiment logging skill work with Feishu?▼

Yes, it supports a Feishu path where messages and images are pulled from a research group via the feishu-cli-integration skill using lark-cli commands. This requires the bot to be added to the target group with im:message and im:resource permissions.

What is the experiment ID and sample batch ID format?▼

Experiment IDs follow {system code}-{device code}-YYMMDD-{sequence}, such as CL-M-260529-001. Sample batch IDs follow {system code}-{candidate number}-B{sequence}, kept consistent across experiments so Dataview can track the same batch.

What are the limitations of automated experiment logging?▼

The skill never invents temperatures, durations, recipes, device models, or results; unconfirmed details are marked for author input. External writes to Feishu or Obsidian depend on locally configured CLIs and directory permissions.