experiment

Automates recording of experiment parameters, results, and artifacts into structured notes.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/achousal/EngramR --skill experiment-achousal
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: experiment
Source: https://github.com/achousal/EngramR/tree/main/.claude/skills/experiment
Command: npx skills add https://github.com/achousal/EngramR --skill experiment-achousal

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Log experiments with parameters, results, and artifacts to maintain provenance and reproducibility across research cycles.

Core Features & Use Cases

  • Experiment capture: Record titles, linked hypotheses, objectives, and parameters in structured notes.
  • Provenance tracking: Automatically link experiments to hypotheses and maintain an index of active experiments.
  • Result integration: Update notes with results, artifacts, and interpretation, enabling rapid iteration.

Quick Start

Provide a title, linked hypothesis (if any), objective, and parameter values to create and save a new experiment note in the vault.

Frequently Asked Questions about experiment

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

FAQPage Schema
How do I log experiment parameters and results for research provenance?

To log experiment parameters and results for research provenance, you record titles, linked hypotheses, objectives, and parameter values into structured notes. This maintains reproducibility by automatically linking experiments to hypotheses and preserving artifacts across research cycles.

How do I link experiment notes to hypotheses in an Obsidian vault?

To link experiment notes to hypotheses in an Obsidian vault, you provide a linked hypothesis when creating a new note. This ensures traceability and maintains an index of active experiments connected to their driving research questions.

What do I need to set up before logging experiments in structured notes?

Before logging experiments in structured notes, you need a defined vault structure and a build_experiment_note workflow. Providing a title, linked hypothesis, objective, and parameter values then allows you to create and save new experiment records.

Can I update experiment notes with new results and interpretations after the initial logging?

Yes, you can update experiment notes with new results and interpretations after the initial logging. This result integration enables rapid iteration by adding artifacts and interpretations directly to existing structured notes.

Does experiment logging work without a defined vault structure?

Experiment logging does not work optimally without a defined vault structure. It requires this structure and a build_experiment_note workflow to ensure proper provenance tracking and traceability across research cycles.

Why does experiment logging require linked hypotheses?

Experiment logging requires linked hypotheses to ensure traceability and maintain provenance across research cycles. This linkage automatically connects experiments to their driving research questions and maintains an index of active experiments.