Plugins by mikeparcewski
19 plugins
mikeparcewski / wicked-garden
AI-Native SDLC — the complete software development lifecycle as a single Claude Code plugin. Code intelligence, delivery metrics, persistent memory, workflow orchestration, brainstorming, and 48 specialist personas. Backed by the wicked-control-plane for team-shared persistence.
mikeparcewski / wicked-platform
Platform engineering expertise spanning DevSecOps, observability, and compliance. Includes SREs, security engineers, compliance officers, and infrastructure specialists.
mikeparcewski / wicked-engineering
Engineering expertise with commands for planning, review, debugging, architecture, and docs. Includes senior engineers, architects, and technical writers.
mikeparcewski / wicked-product
Product and design expertise spanning requirements, UX, customer voice, and business strategy. Includes product managers, designers, researchers, and strategists.
mikeparcewski / wicked-delivery
Delivery management expertise spanning PMO, onboarding, experimentation, and FinOps. Includes delivery managers, cost analysts, and rollout coordinators.
mikeparcewski / wicked-startah
Opinionated starter kit with MCP servers and plugin recommendations for a productive Claude Code setup
mikeparcewski / wicked-agentic
Agentic architecture review, design guidance, and optimization for AI systems built with LLMs, agents, and workflows. Detects frameworks, analyzes agent topologies, scores patterns, and provides actionable recommendations.
mikeparcewski / wicked-data
Data engineering specialist for pipeline design, data analysis, ML guidance, and analytics architecture. Includes CSV/Excel analysis with DuckDB SQL querying.
mikeparcewski / wicked-crew
Workflow coordinator with quality gates for intent-driven software delivery. Orchestrates multi-phase projects with embedded QE gates (value, strategy, execution).
mikeparcewski / wicked-search
Unified code and document search with Symbol Graph and cross-plugin graph export. Multi-ORM data lineage, cross-layer linking, blast radius analysis, and wicked-cache integration.
mikeparcewski / wicked-workbench
Build-your-own dashboard for wicked-garden plugins using A2UI protocol. Combines components from kanban, memory, and other plugins into unified, AI-generated interfaces.
mikeparcewski / wicked-scenarios
E2E testing via human and agent-readable markdown scenarios that orchestrate lightweight open-source CLI tools. Covers API, browser, performance, infrastructure, security, and accessibility testing with graceful degradation when tools are missing.
mikeparcewski / wicked-smaht
Ecosystem multiplier — automatically gathers context from installed plugins (memories, tasks, code search, brainstorms) before Claude responds. The more plugins you install, the smarter it gets. Confidence-based routing: fast path for simple queries, comprehensive assembly for complex ones.
mikeparcewski / wicked-qe
Quality Engineering specialist for test strategy, scenario generation, test automation, and shift-left quality practices.
mikeparcewski / wicked-cache
Shared caching layer for Wicked Garden plugins. Namespace isolation, TTL support, and file-aware invalidation (auto-expires when source files change). Install alongside wicked-search or wicked-mem for faster lookups.
mikeparcewski / wicked-jam
AI-powered brainstorming with dynamic focus groups. Generate diverse perspectives on ideas through persona-based discussion rounds.
mikeparcewski / wicked-kanban
Persistent kanban board that survives across sessions. Auto-syncs Claude Code's TaskCreate/TaskUpdate to a durable board with git commit linking, activity audit trail, and sprint grouping. Built-in tasks reset each session — kanban remembers everything.
mikeparcewski / wicked-patch
Language-agnostic code generation and change propagation using symbol graphs. 12 generators (Java, Python, TypeScript, Go, C#, Ruby, Kotlin, Rust, PHP, Perl, JSP, SQL) with safety validation and transactional rollback.
mikeparcewski / wicked-mem
Structured memory with signal-based recall. Unlike built-in memory, wicked-mem categorizes memories by type (episodic, decision, procedural, preference), decays stale memories automatically, and only injects context when your question signals need it — preventing context bloat.