skillweave

Create structured PRD (Product Requirements Document) through guided interview. Adapts Ralph Loop concepts for multi-agent AI development. Creates blueprint for promptchain and releasechain workflows.

Multi-Model LLM Council — Deliberation, Peer Review, and Chairman Synthesis with Web Search and Faigate Routing

Design-Thinking-Lens: Briefanalyse, UX-Prinzipien, Token-Extraktion, Evaluation

Problemdefinition, User Research, Empathy Mapping, Opportunity Validation

Pre-Launch-Check, Deployment, Announce, Verify, Metrics

Bundle-Navigator, Phasen-Status, Entry-Point-Detection, Bundle-Empfehlung, Planning-Board, Testing

Execution Reports, Timing, Events, Memory, Summary, Health — Read-Only Observability

Retrospektive, Feedback, Monitoring, Iterationsplanung

Execute SkillWeave prompt sequences with dependency-aware batching, Ralph Loop execution, binary gates, and safe parallel subagent orchestration. Orchestration substrate — does NOT handle release-specific logic (see skillweave-releasechain for release).

Generate standardized SkillWeave prompt sequences from PRD (complexity-aware) or topic/domain. Creates execution plans optimized for REX (simple) or Ralph Loop (standard/complex) workflows.

Validate and improve SkillWeave prompt sequences. Detects sequence type (plan/build/mixed) and adapts output format. Accepts sequence as parameter or .md/.txt attachment.

Ralph Loop-powered development pipeline for autonomous AI development. Handles review, testing, iteration with completion promises, memory systems, and multi-agent execution.

Repo Assessment & Cleanup: Inventory-Scan, Klassifikation, Archive, Duplikate, Report

Launch coordination for the Launch lifecycle phase — deployment, user communication, go-live coordination, and metrics baseline capture.