plugins/d-nd-core/skills/version-check/SKILL.md
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.
npx skillsauth add grazianoguiducci/d-nd-seed version-checkInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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After a Claude Code update, run this to understand what changed and whether the D-ND plugin should adapt.
The system_awareness hook reports Claude Code version at session start. If you see a version change, investigate.
# Check changelog
# Search web for: "Claude Code [version] changelog"
# Or check: https://github.com/anthropics/claude-code/blob/main/CHANGELOG.md
| Claude Code Feature | D-ND Relevance | Current status | |--------------------|--------------------|----------------| | HTTP hooks | Could replace shell hooks for node messaging | Not yet used | | Agent worktree isolation | Experimental branches per node | Available | | Fast mode 1M context | Full context in fast mode | Available | | Background agents | Async work across nodes | Available | | Plugin marketplace | Public seed distribution | Ready to use | | Auto-memory | Supplements our MEMORY.md system | Active | | /simplify command | Post-session code review | Available | | MCP servers | External tool connections | Available |
$ARGUMENTS
testing
Closure reflection protocol. After a significant work block concludes (feature shipped, session ending, major commit landed, cross-node coordination resolved), runs a 10-question interview that extracts meaning, impact, and next questions — then emits multiple audience-specific artifacts (changelog, external editorial, AI integration docs, memory crystal, backlog seed). Turns implicit maturation into explicit narrative. Use at the end of meaningful work, not after trivial edits.
testing
The neutral form of the D-ND method. Meta-skill that recognizes context and orients toward the right specialization (cec, autologica, cascade, assertion-verifier, etc.). Activate at the start of a non-trivial work block or when input matches trigger words ('where are we', 'what here', 'orchestrate', 'connect', 'sieve this').
development
Five mechanical gates for any content publish pipeline with CMS + rendering layers. Prevents false security: 'API returned 200' does not mean 'visitor sees clean content'. Use when writing content to a multi-layer serving system (CMS API, static files, prerendered HTML, cached copies).
testing
Multi-node consultation protocol for high-leverage decisions. Dispatches the same question to N independent LLM/agent nodes in isolation, then synthesizes their responses into a summa that exposes convergence (high-confidence claims), dissensus (real uncertainty zones), and emergent points (insights no single node produced). Reduces single-node training bias. Supports recursive escalation for stable-state convergence. Use for decisions that propagate via A14 cascade — seed updates, crystallizations, advisory→mechanical promotions, high-visibility copy, lab result interpretation.