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Set up a new Obsidian knowledge base with the LLM Wiki pattern.
Passed 20 of 24 test cases with the skill, and 5 of 24 without it.
and 19 more in the full report
15 fixed5 passed either way4 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 15 test cases the skill fixed. Same model, same prompt, with and without the skill.
When installing the optional `qmd` search tool during setup, what npm package command is executed?
| Checked | Without skill | With skill |
|---|---|---|
| Specify running npm i -g @tobilu/qmd. | Missed | Passed |
The instructions your model reads when the skill loads.
Set up a new Obsidian knowledge base using the LLM Wiki pattern. The LLM acts as librarian — reading raw sources, compiling them into a structured interlinked wiki, and maintaining it over time.
Guide the user through these 5 steps. Ask ONE question at a time. Each step has a sensible default — the user can accept it or provide their own value.
Ask:
"What would you like to name your knowledge base? This will be the folder name." Default:
second-brain
Accept any user-provided name. This becomes the folder name and the title in the agent config.
Ask:
"Where should I create it? Give me a path, or I'll use the default." Default:
~/Documents/
Accept any absolute or relative path. Resolve ~ to the user's home directory. The final vault path is {location}/{vault-name}/.
Ask:
"What's this knowledge base about? This helps me set up relevant tags and describe the vault's purpose."
Examples: "AI research", "competitive intelligence on fintech startups", "personal health and fitness"
Accept free text. Use this to:
Auto-detect which agent is running this skill. State it clearly:
"I'm running in [Agent Name], so I'll generate a [config file] for this vault."
test cases passed, vs 5 / 24 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.