obsidian-experiment-log

Name: obsidian-experiment-log
Availability: InStock
Author: zhuweijian

Organize ML experiment notes with structured sections and hub links in Obsidian.

13|1|Updated Apr 14, 2026

Search Tags:#workflow #research #obsidian #notes #linking #experiment #knowledge-base

Ready to run

npx skills add https://github.com/debug-zhuweijian/ai-research-toolkit --skill obsidian-experiment-log-debug-zhuweijian

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: obsidian-experiment-log
Source: https://github.com/debug-zhuweijian/ai-research-toolkit/tree/main/modules/05-knowledge/skills/obsidian-experiment-log
Command: npx skills add https://github.com/debug-zhuweijian/ai-research-toolkit --skill obsidian-experiment-log-debug-zhuweijian

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Obsidian Experiment Log provides a canonical place to record and track ML experiments inside Obsidian, reducing note fragmentation and future rework.

Core Features & Use Cases

Centralizes experiment notes with linked experiments and results
Enforces structured sections for goals, code/config, data, metrics, status, findings, and next steps
Enables quick linking to hub or plan references and daily notes for project-wide visibility

Quick Start

Create a new Experiment note under Experiments/ for your current project and begin filling in the Goal, Code/Config, Dataset, Metrics, Status, Findings, and Next steps sections.

Frequently Asked Questions about obsidian-experiment-log

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

FAQPage Schema

How do I organize ML experiment notes in Obsidian to prevent fragmentation?▼

To organize ML experiment notes in Obsidian, you can use a structured workflow that centralizes experiments, enforces canonical notes with required sections like goals and metrics, and links them to hub pages. This prevents note fragmentation and future rework.

What is the best way to link experiment results and goals in Obsidian?▼

The best way to link experiment results and goals in Obsidian is by enforcing canonical experiment and result notes with required sections, applying linking rules to a hub or plan, and connecting daily notes for project-wide visibility.

How do I track ML experiments and research workflows inside daily notes?▼

You track ML experiments inside daily notes by linking them to canonical experiment notes and hub pages, ensuring project-wide visibility across ongoing research and multiple experiments.

What sections should I include in an Obsidian experiment log for machine learning?▼

An Obsidian experiment log for machine learning should include structured sections for goals, code or config, dataset, metrics, status, findings, and next steps to canonicalize the research notes.

Can I use Obsidian to manage multiple ongoing research projects and experiments?▼

Yes, you can manage multiple ongoing research projects in Obsidian by applying linking rules to a hub or plan, connecting daily notes, and centralizing canonical experiment notes to track goals and results.

Why do my ML experiment notes become fragmented and how do I fix it?▼

ML experiment notes become fragmented without a canonical place to record them. You fix this by enforcing structured sections and linking rules to a hub or plan, ensuring goals and results are connected.