Guides iterative research with vault context and provenance tracking.
npx skills add https://github.com/robinslange/learning-loop --skill discovery-robinslange
Please help me install this Agent Skill. Skill: discovery Source: https://github.com/robinslange/learning-loop/tree/main/skills/discovery Command: npx skills add https://github.com/robinslange/learning-loop --skill discovery-robinslange
Interactive topic exploration often lacks structure and provenance; Discovery provides guided, iterative research with vault-backed context and automatic provenance tracking.
Begin a topic exploration by invoking /discovery with a topic, e.g., /discovery "spaced repetition" to start a guided, vault-backed research journey.
High-intent search queries and answers about installing and using this skill.
Iterative topic exploration with provenance tracking is guided by invoking a command with a topic, which launches subagents to ground findings in your vault and emit per-round source links. This approach combines web context with vault knowledge to surface actionable insights.
Vault-backed research works by launching subagents that source landscape context from the web and combine it with your existing vault knowledge. This process grounds findings in your personal knowledge base while preserving source links for automatic provenance tracking during interactive topic exploration.
Start a guided research journey by invoking the discovery command with a chosen topic. The Skill supports warm or cold starts and parameterized styles, allowing you to immediately begin iterative exploration with subagents that produce per-round findings and provenance.
Yes, you can customize topic exploration using parameterized styles and tones. The Skill supports guided, branch, and checkpoint journeys, and allows you to choose between artifact creation or surf mode to keep your vault organized and actionable based on your preference.
Automatic provenance emission is needed when you want to trace the origins of your research findings without manual tracking. The Skill emits per-round notes and source links automatically, ensuring vault context remains organized and insights are actionable and verifiable.
The best way to surface knowledge gaps is by combining web-sourced landscape context with your vault knowledge through iterative research. Subagents analyze both sources to identify missing information, producing per-round findings that highlight actionable insights while preserving source links.
Dqz00116Create and manage layered knowledge bases with hot, cold, and warm caches.
Ar9avConvert conversations into structured wiki notes with updated indices and provenance.
jwm-axoniCoordinate iterative research with a persistent knowledge vault.
lightningfastslsSearches trusted sources and assembles topic findings into a structured knowledge graph with provenance tracking.
