/obsidian-sync
Refresh Obsidian dashboard and daily notes from current experiment state
$ npx -y skills add Xiangyue-Zhang/auto-deep-researcher-24x7 --skill obsidian-sync --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
- Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
- You can call itInvoke it directly when you want it.
- Slash command
/obsidian-sync
Context preview
The summary Claude sees to decide when to auto-load this skill.
Refresh Obsidian dashboard and daily notes from current experiment state
SKILL.md
obsidian-sync.SKILL.mdname: obsidian-sync description: "Refresh Obsidian dashboard and daily notes from current experiment state"
obsidian-sync
Refresh progress notes for a Deep Researcher project.
Usage
Claude Code: /obsidian-sync --project /path/to/project Claude Code: /obsidian-sync --project /path/to/project --dashboard-only Claude Code: /obsidian-sync --project /path/to/project --daily-only Codex: $obsidian-sync
Behavior
1. Read project config and check `obsidian.enabled` 2. Read `PROJECT_BRIEF.md`, `workspace/MEMORY_LOG.md`, `workspace/state.json`, and `.cycle_counter` 3. Refresh `Dashboard.md` in Obsidian, or `workspace/progress_tracking/Dashboard.txt` if no vault is configured 4. Optionally append a new daily note entry
Command
python -m core.obsidian --project /path/to/project
If progress export is disabled, tell the user to set `obsidian.enabled: true`. If `obsidian.vault_path` is empty, notes fall back to project-local text files.
🔥 An autonomous AI agent that runs your deep learning experiments 24/7 while you sleep. Zero-cost monitoring, Leader-Worker architecture, constant-size memory.
Other skills on auto-deep-researcher-24x7.
- /auto-experiment
Launch an autonomous THINK→EXECUTE→REFLECT experiment loop on a GPU project
Open skill - /conf-search
Search papers from top AI/ML conferences
Open skill - /daily-papers
Daily arXiv paper recommendations with automatic deduplication
Open skill - /experiment-status
Check status of running autonomous experiment loops
Open skill - /gpu-monitor
Check GPU status, running experiments, and available resources
Open skill - /paper-analyze
Deep analysis of a single paper with figure extraction from arXiv source
Open skill

