obsidian-experiment-log

Solid

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.

AI & Automation 4,111 stars 371 forks Updated 3 days ago MIT

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Skill Content

# Obsidian Experiment Log 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. ## ...

Details

Author
Galaxy-Dawn
Repository
Galaxy-Dawn/claude-scholar
Created
4 months ago
Last Updated
3 days ago
Language
Python
License
MIT

Integrates with

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