208 Plugins aus öffentlichen Claude Code marketplaces. Jedes bündelt Skills, Slash-Commands, Agents, Hooks oder MCP servers, die zusammen installiert werden.
Zeige 208 Plugins, die diesen Filtern entsprechen.
agent-skillsSteveVitali/agent-skills1
rvdbreemen-adr-kitrvdbreemen/adr-kit1
archcore-pluginsarchcore-ai/archcore1
abap-skillslikweitan/abap-skills1Reiche das repo mit .claude-plugin/marketplace.json ein und wir listen jedes plugin auf.
Marketplace einreichenRefresh, extract, publish and package documentation from real sources.
Build web interfaces and sites with React, Svelte, design systems and accessible components.
Implement TypeScript, Python, Go, Rust, native apps, APIs and terminal workflows.
Design data, retrieval, AI runtime, model tooling and agent operations.
Integrate authentication, payments, analytics, messaging and production delivery.
Research buyers, acquire leads, follow up, support customers and grow accounts.
Form and run a company, discover product needs, hire teams and improve delivery.
Create consented photography and integrate voice and video production.
Explain technical sources with source-grounded analogies and learner checks.
Model supplied software economics and costs with explicit scenarios and evidence.
Prepare platform assets and account dependencies without implicit setup actions.
Compose repository baseline, safe refactoring and contributor onboarding through selected specialist owners.
Monte Carlo Agent Toolkit — data observability skills and enforcement hooks for AI coding agents.
Rigorous engineering process for AI coding agents: implement-spec, decompose-spec, orchestrate-build, build-memory, synthesize-spec, reconcile-build, self-review, review-pr, address-pr-comments, agent-docs, refresh-repo-docs
Drop-in ADR toolkit for AI coding agents: bootstrap and audit with /adr-kit:init, guided authoring with /adr-kit:adr, pre-commit and CI enforcement with file:line citations, context injection over a generated graph index, Guardian staleness detection, lifecycle commands, strict lint, adr-doctor, and a key-free MCP server.
Spec-driven development and context engineering for AI coding agents, backed by project context in Git.
Agent Skills that extend AI coding agents with SAP ABAP, ABAP Cloud, RAP, CDS, OData, testing, security, migration, and BTP development workflows and domain knowledge.
CLI toolbox for Observability-Driven Development (ODD): coding agents observe local runs on an OpenTelemetry/Grafana stack - or remote ones on any OpenTelemetry backend - and feed the next spec-driven improvement loop.
observabilityYour coding agent already plans and swarms — Wicked Garden is the curated toolkit for what it can't: proof-not-claims gates, code links grep can't see, deterministic refactor, cross-session memory, multi-model second opinions (fallback seats labelled). Don't fight the harness; fill its gaps. The gate needs wicked-vault (a self-contained infra peer, installed directly) and re-derives through garden's built-in engine; estate/bus are opt-in layers (wicked-testing and wicked-brain are retired — QE ships in-catalog as the qe domain, memory lives in wicked-estate).
Complete system: 15 problem-shaped skills backed by 97 genius agents, 86 skills total, 30 commands, 71 tools, 36 hooks, authoritative coding-standards rules, goal-driven and autonomous build loops, and the shared Claude Code and Codex gates
