Obsidian Research Log

SkillDocs & knowledge

Use this skill when the user is discussing daily research work, TODOs, plans, standups, meetings, milestones, or general project progress that should be reflected in Obsidian daily notes, plan notes, and hub updates.

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 Research 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-research-log/SKILL.md and read by ahel’s review.

Use this skill to keep project planning and daily progress synchronized.

Role in the workflow

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

Prefer a small number of durable updates over creating extra planning folders.

Default targets

  • Daily/YYYY-MM-DD.md
  • 01-Plan.md
  • 00-Hub.md recent progress block
  • .claude/project-memory/<project_id>.md

Rules

  • Convert vague TODOs into concrete checkbox lists in 01-Plan.md when they become durable commitments.
  • Preserve chronology in Daily/: append dated blocks instead of rewriting history.
  • Link daily notes to touched experiments, papers, results, and writing notes when the destination is already canonical.
  • If a meeting note is only temporary, keep it in Daily/ first.
  • If meeting output becomes durable project knowledge, summarize and route it into Knowledge/, Writing/, or 01-Plan.md instead of creating a default Meetings/ folder.
  • Prefer updating existing canonical notes over spawning parallel task notes.

Main judgment rule

Daily logs are for process.

If a note will still matter after several days or weeks, promote the durable part into Knowledge/, Experiments/, Results/, or Writing/.

Signals

GitHub stars
4k
Forks
531
Last commit
Sep 2026
Advanced
Item type
skill
Key
obsidian-research-log
Source
github.com/brycewang-stanford/auto-empirical-research-skills