Browse Skills

Ars Contexta Tutorial guides new users through the ars contexta system with an interactive, step-by-step walkthrough that creates real notes in the vault. It offers three tracks (researcher, manager, personal) and triggers on '/tutorial' or phrases like 'walk me through'.

Ask queries the bundled research knowledge graph to answer methodology questions, routing through WHY, HOW, and WHAT IT LOOKS LIKE tiers plus reference documents. Use it when you need research-backed guidance on knowledge system design, workflows, or domain examples.

Contextual Help provides contextual guidance and command discovery for the Ars Contexta knowledge system. It shows available commands, active skills, and intelligent suggestions in narrative, contextual, or compact modes based on vault state.

Graph provides interactive knowledge graph analysis, routing natural language questions to graph scripts, interpreting results in domain vocabulary, and suggesting concrete actions. Use it to check graph health, find orphans, dangling links, and synthesis opportunities.

Knowledge System Advisor gives research-backed recommendations for knowledge system architecture. Describe your use case, constraints, and goals to get specific advice grounded in research with rationale for each decision.

Knowledge System Architect analyzes health reports, friction patterns, and derivation history to propose specific changes with research justification. It never auto-implements; recommendations require explicit approval.

Learn researches a topic and grows your knowledge graph. It uses Exa deep researcher, web search, or basic search to investigate topics, files results with full provenance, and chains to the processing pipeline.

Next Action surfaces the most valuable next action by combining task stack, queue state, inbox pressure, health, and goals. Use it with /next or asking what to do next to get one specific action with rationale.

Pipeline processes source files end-to-end: seeding, extracting claims, reflecting, reweaving, verifying, and archiving them into a knowledge base. Use it when you want to run the full processing workflow on a file or batch of files in one command.

Ralph processes tasks from a work queue, spawning isolated subagents for each phase to keep context fresh. Use it to run multi-phase knowledge base pipelines in serial, parallel, batch, or dry-run modes.

Reduce extracts structured knowledge from source material into atomic, retrievable notes. Use it when triggered by /reduce, "extract insights", or when processing inbox items and handoff queues to externalize reasoning and evidence.

Refactor plans vault restructuring from configuration changes by comparing ops/config.yaml against ops/derivation.md, identifies dimension shifts, and shows a restructuring plan before executing on approval.