Moodnd

Reviews D-ND academic papers against source material in MM_D-ND. Use for gap analysis, maturation reports, and quality assessment of papers.

Define testable claims about your project, run them, and crystallize results into a seed. Use when you need to verify that theory matches implementation, track what passes and what breaks, and identify where potential is blocked.

Detect gaps, implement fixes, crystallize learnings. Use when something fails, when a pattern repeats, or when the system encounters a problem it should not encounter again.

The reflective layer. Before acting, ask the right question. After acting, check what you missed. Translates semantic dynamics into executable patterns. Activates when direction is unclear, when corrections happen, when the system loops.

Seed-driven autonomous decision cycle. Loads project state from multiple sources, analyzes tensions and momentum, decides ONE action, executes it, verifies the outcome, and updates the seed. Use for autonomous research, maintenance, or any recurring decision-making process.

Auto-optimize skills through mutate-verify loops. Use when skill tests show failures or when asked to optimize a skill.

Quickly capture operator insights without breaking current workflow. Auto-routes to appropriate team/node. Use when the operator shares observations, ideas, or strategic thoughts mid-session.

Three levels of propagation: internal (within the change), external (binding: seed, site, nodes), emergent (discoveries during propagation). Activate after every significant modification.

Knowledge Expansion Cycle — the sieve on reality. Use before any significant decision, when integrating external information, when evaluating a claim, or when changing direction.

Generate conceptual diagrams from article content. Trigger when the operator says 'genera diagramma', 'diagram', 'visual spec', 'conceptual map', or when a page is created/updated and needs a structural visualization.

Memory consolidation — clean, merge, prune stale memories. Use when memory files exceed 50 or stale files exceed 15.

Audit the D-ND ecosystem state across all projects, sites, and nodes. Use periodically or after major changes to find gaps, stale content, broken links, and sync issues.

Evaluate skills — trigger accuracy, fidelity, and value. Use when asked to test skills, run evals, or check if skills work.

Integrate research functions from a model layer into operational patterns. The complement of propagator — propagator goes downstream (change to targets), integrate-pattern goes upstream (model function to operational use). Trigger when new model commits are detected or when the operator says "integra", "converti", "porta qui".

Memory architecture derived from D-ND axioms. Manages persistent memory across sessions using the P6 principle — memory as recognition of belonging, not storage of facts.

Deploy paper content from MM_D-ND site_ready files to d-nd.com VPS. Handles md-to-HTML conversion, bilingual merge, figure path resolution, and pages.json update.

Knowledge propagation engine. Knows what goes where when something changes. Use after any significant change to ensure all downstream targets are updated.

Structural scenario projection from tensions. Use when facing complex decisions with 5+ competing factors, when cross-checking a strategy or thesis, when prioritizing with limited resources, or when mapping risks.

First-run setup for D-ND plugin. Maps the local environment, detects capabilities, configures node identity. Run once after installation or when environment changes.

Send and receive messages via inter-node communication. Use when you need to communicate with other nodes, check messages, or send task updates.

Check system status — repos, services, containers, APIs. Use when you need to verify system health or diagnose issues.

Check Claude Code version and identify new features relevant to the D-ND ecosystem. Use after Claude Code updates to discover what capabilities have changed.