Obsidian Experiment Log

SkillDocs & knowledge

Use this skill when the user discusses experiment design, ablations, training runs, evaluation, baselines, metrics, failures, or result interpretation that should be logged into Obsidian experiment and result notes.

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 Obsidian Experiment Log skill

What this skill tells your AI

The instructions your AI receives, as published by brycewang-stanford/auto-empirical-research-skills in skills/33-Galaxy-Dawn-claude-scholar/skills/obsidian-experiment-log/SKILL.md and read by ahel’s review.

Use this skill whenever project work changes the experimental state.

Role in the workflow

This is a supporting skill under obsidian-project-memory.

It should help maintain canonical experiment and result notes, not create note sprawl.

Default outputs

  • the relevant canonical note in Experiments/
  • the relevant canonical note in Results/, if a durable finding exists
  • links from today's Daily/ note
  • relevant hub or plan references only when project state materially changes

Main rules

  • Prefer updating an existing experiment note over creating a sibling note for the same experiment line.
  • Prefer updating an existing result note over creating a parallel result page for the same durable finding.
  • Raw logs, metric dumps, and temporary analysis fragments should usually stay in Daily/ until they are interpreted.
  • A result note should exist only when the outcome is stable enough to reference later.

Minimum experiment sections

  • Goal / hypothesis
  • Code or config entrypoint
  • Dataset / split
  • Metrics
  • Status (planned, running, done, failed)
  • Findings / notes
  • Next step

Minimum result sections

  • Linked experiment
  • Main observation
  • Key numbers
  • Evidence
  • Interpretation
  • Decision: keep / iterate / discard

Linking rule

Link experiments and results directly to each other, and link both back to 00-Hub.md, 01-Plan.md, or Daily/ only when those references improve the main working surface.

Research path handoff

Treat experiment notes as the bridge between Papers/ and Results/:

  • paper-derived hypotheses, baselines, and ablations should land here,
  • stable findings should be promoted from here into Results/,
  • when a result becomes claim-worthy, update Writing/ rather than leaving the chain unfinished.

Signals

GitHub stars
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Forks
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Last commit
Sep 2026
Advanced
Item type
skill
Key
obsidian-experiment-log
Source
github.com/brycewang-stanford/auto-empirical-research-skills