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Create and maintain reusable research wikis with source provenance, configurable structure, and local markdown outputs.
Passed 16 of 19 test cases with the skill, and 8 of 19 without it.
and 8 more in the full report
10 fixed9 passed either way3 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 10 test cases the skill fixed. Same model, same prompt, with and without the skill.
The `robotics-notes` repository was originally set up for hardware specs, but the user now wants to reorient it toward embedded software stacks. What file should be updated first before adding new content?
| Checked | Without skill | With skill |
|---|---|---|
| Identifies updating wiki.config.md first when scope changes. | Missed | Passed |
The instructions your model reads when the skill loads.
Source: dair-ai/dair-academy-plugins (MIT).
Create and maintain configurable research wikis. Each wiki is a standalone folder with its own sources, compiled pages, derived artifacts, prompts, and local configuration.
By default, wikis live under ~/dair-wikis/. Override the location with the WIKI_ROOT environment variable or the --root flag on init_wiki.sh.
This skill is intentionally general. Do not hard-code every wiki into the AI papers structure. Use each wiki's wiki.config.md as the source of truth for purpose, audience, page types, style rules, and update workflow.
Use this skill when the user asks to:
Store wikis here unless the user explicitly gives a different path:
${WIKI_ROOT:-$HOME/dair-wikis}/<wiki-slug>
Use lowercase kebab-case slugs, for example agent-memory, ai-evals, open-source-models, or company-research.
New wikis should start with this layout:
<wiki-slug>/
test cases passed, vs 8 / 19 without
Published skills whose descriptions closely match this one, with their headline benchmark lift.
More skills from the same source and nearby in the registry, with their headline benchmark lift.