promote
25Command
Verify, classify trust, write provenance, commit, and index a staged artifact into the procedural-memory registry.
Command
Verify, classify trust, write provenance, commit, and index a staged artifact into the procedural-memory registry.
Command
Find the closest-matching proven artifact in the procedural-memory registry for a task, ranked by semantic similarity plus trust/health signals.
Command
Execute a promoted procedural-memory registry artifact by name — registry-only resolution, content-digest check, trust gate, health gate.
Command
Re-run a promoted artifact's sandboxed smoke test (or every function under a CLI namespace) and refresh its health state.
Skill Claude CodeCodex
Execute a proven, already-working artifact from the procedural-memory registry (Rhize-Media/procedural-memory) instead of recomposing a task from scratch. Use when a task looks like something the registry may already have solved: recall() finds the closest match by semantic similarity over Postgres/pgvector (ranked…
Plugin Claude Code
End-to-end project launcher: research and context gathering, requirements interviews, PRD generation, critical gap analysis, project scaffolding, and GSD v2 handoff — plus rhize-visual-plan, a Rhize-owned .mdx visual-plan review surface (diagrams, wireframes, file maps, data/API contracts) rendered in Next.js and the…
Command
Critically analyze a PRD for architectural and technical gaps.
Command
Full project launcher — research, PRD, gap analysis, scaffold, GSD v2 handoff.
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Scaffold a project directory and prepare for GSD v2 autonomous handoff.
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Turn a plan or PRD into a rich, reviewable .mdx visual plan — diagrams, wireframes, file maps, data/API contracts — rendered in Next.js and the Obsidian vault.
Command
Generate a PRD through research, interviews, and critical gap analysis.
Skill Claude CodeCodex
ALWAYS invoke this skill (via the Skill tool) for any request to start a new project, create a PRD, plan a new automation, scaffold a project for GSD v2, or prepare for autonomous development. End-to-end project launcher that takes an idea from research through PRD creation, critical gap analysis, project scaffolding…
Skill Claude CodeCodex
ALWAYS invoke this skill (via the Skill tool) for any request to turn an implementation plan into a rich, reviewable .mdx visual plan — architecture diagrams, file maps, wireframes, data models, API contracts, annotated code/diffs, and open questions — authored as a portable plan.mdx rendered by our own local viewer…
Plugin Claude Code
Context engineering and optimization plugin. Orchestrates the Rhize context stack, ships a disabled-by-default real-provider retrieval/compiled-context dogfood harness, and adds a local mixed-language native context pack with explicit provenance and stale-pack verification. The pinned upstream Python compiler remains…
Command
Health-check the full Rhize context stack — Headroom, claude-mem, OpenWolf, Serena/CodeGraph, RTK — and flag overlap, drift, or dead layers.
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Inspect, evaluate, arm, report, or disarm opt-in local retrieval, mgrep, and Context Compiler experiments.
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Build and inspect a private, source-bound context pack without injecting it.
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Repo-level setup wizard — scan the repo, probe the active context stack, propose a tailored per-repo config, and write it on confirmation.
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Session bookend — post-implementation validation, verifier pass, and STATE.md update before commit.
Command
Deprecated — use /rhize-devflow:impact-map instead.
Command
Harvest refinement signals (headroom learn, claude-mem observations, skill-monitor deltas) into the pending-refinement queue for human triage — writes the queue only, never skills or CLAUDE.md.
Command
Operate the gated skill-refinement pipeline — review triages queued signals to target skills; run evolves each targeted skill via skill-forge (SkillOpt + safety re-gate) with auto-promote for gate-passing SKILL.md edits.
Command
Session bookend — initialize a development session with full context loading (STATE.md, memory, session log).
Skill Claude CodeCodex
This skill should be used when long-running agent sessions need context compression, structured summarization, compaction, token-per-task optimization, or durable handoff summaries that preserve decisions, files, risks, and next actions.