Claude Code plugins
28 plugins from public Claude Code marketplaces. Each one bundles skills, slash commands, agents, hooks or MCP servers that install together.
Showing 28 plugins that match these filters.
28 plugins from public Claude Code marketplaces. Each one bundles skills, slash commands, agents, hooks or MCP servers that install together.
Showing 28 plugins that match these filters.
Submit the repo with .claude-plugin/marketplace.json and we list every plugin.
Submit marketplaceFrom task to done. nobrainer-tech-flow is one workflow of 18 modules for AI coding agents and the AI-native SDLC: it scopes the task, does the work in one main loop, checks the result and hands over the evidence, including what was not checked.
Terraform modules for Firebase Genkit infrastructure and deployments
Determines whether a given subject matter qualifies for copyright protection under EU law by applying the Cofemel two-step test (concept of work + originality), grounded in fifteen CJEU judgments (including the most recent Mio/Konektra and Calinescu) and the four EU directive provisions on originality. It argues from one of two positions: pro-rightsholder (establishing that the work is original) or pro-alleged-infringer (contesting work status or originality via the four exclusion grounds — technical function, rule-dictated outcome, sweat of the brow, idea/functionality). It includes sector-specific modules for photography, software/GUI, sporting events, databases, applied art, functional texts, derivative works/critical editions, and multimedia works.
Builds a high-fidelity interactive legal assessment as a single self-contained HTML artifact. Output includes a live countdown timer, contract review tasks with hover-annotated problem clauses, candidate answer textareas, model answers hidden behind reveal blocks, scenario-based legal memo tasks, strategy and function-building questions, and a pre-submission checklist that encodes the marking criteria. Use when the user needs to (1) assess a legal candidate with a realistic timed exercise, (2) train or onboard junior lawyers using problem sets rather than doctrine, (3) help a candidate prepare for a real take-home assessment they are facing, (4) build educational materials for law students, in-house teams, or compliance training, or (5) produce scenario-based training modules on specific legal topics. Triggers on "legal test", "take-home", "mock exam", "contract redline exercise", "candidate assessment", "legal training exercise", "practice test", or similar phrasing even when informal
Conducts a structured Legitimate Interest Assessment (LIA) under Art. 6(1)(f) GDPR using the full EDPB three-step test — interest identification, strict necessity analysis, and the balancing test with mitigation. Built on EDPB Guidelines 1/2024, Opinion 28/2024 (AI models), CNIL guidance (June 2025), ICO/DUA Act 2025, key CJEU judgments, and DPA positions from DE/FR/NL/AT/IT/ES/UK. Includes specialised modules for AI/ML, marketing, fraud prevention, children's data, employee monitoring, ePrivacy overlap, and cross-border, plus a dedicated Right to Object (Art. 21) response mode and structured LIA output. Use this skill whenever the user mentions GDPR Art. 6(1)(f), legitimate interest, the LIA or three-step test, EDPB/DPA guidance, AI training data lawfulness, web scraping legality, direct marketing or fraud prevention legal basis, employee monitoring, the right to object, or asks for a balancing test — even if they don't say "LIA" explicitly.
Briefs statutes and legislative Acts using the MAPS + RULES framework: a system-level map of the whole Act (citation and text status, purpose, structure, scope, definitions) plus operational rule-modules for each operative provision (elements, legal effect, exceptions, procedure, consequences, forum, interaction rules). Works from statutory text supplied by the user and never invents statutory language. Use when briefing a statute, analyzing legislative text, mapping statutory architecture, extracting the elements of a provision, or applying a statute to facts. Triggers on "brief this statute", "analyze this Act", "map the statute", "apply [statute] to [scenario]", "what are the elements of [provision]", "statutory analysis", and on references to codified sections such as 42 U.S.C. or the Texas Health and Safety Code. Two modes: (A) text-only briefing for structural analysis, and (B) scenario-driven briefing that applies provisions to specific facts with verbatim quotation and pinpoint
New to rote? /rote:setup walks you through importing your MCP servers, compiling one of your skills, and checking it gives the same answer. Compile an AI agent skill into a deterministic workflow for DBOS, Temporal, Cloudflare Workflows, Inngest, or plain Python with /rote:compile, fill in its emitted stub modules with /rote:implement, then trigger the deployed workflows from Claude over MCP with /rote:serve.
API-first skills for users who already know DSPy: signatures, LM config, modules, data handling, evaluation, inference modules, optimizers, adapters, tools, retrieval, and utilities
NestJS backend framework - modules, controllers, services, DI, guards, pipes, interceptors, exception filters, middleware, DTOs with class-validator
Weaviate vector database patterns with weaviate-client v3 -- collection management, vectorizer modules, hybrid search, filtering, generative search (RAG), multi-tenancy, batch imports
React Native mobile development patterns - New Architecture (Fabric, TurboModules, JSI), component architecture, React Navigation 7+, FlashList v2 optimization, gestures with Reanimated 4, platform-specific code, React 19 features
TypeScript strict mode configs, TS 5.x+ options (verbatimModuleSyntax, module preserve, moduleDetection force, configDir), path alias sync, specialized configs
Svelte 5 runes — $state, $derived, $effect, $props, $bindable, snippets, callback props, context. Load when writing Svelte 5 components or reactive modules.
SCSS Modules - locally scoped component stylesheets, cascade layers, the Sass module system, mixins, and build-time versus runtime values
Optimize and build programmatic prompt systems with Stanford DSPy. Signatures, modules (Predict, ChainOfThought, ReAct), optimizer/teleprompter selection, compilation, caching, evaluation. Use when doing programmatic prompt optimization or building compiled prompt programs. Do not use this skill for unrelated requests; route to the nearest named specialist.
Build, customize, and debug advanced Hugo CMS themes — template architecture, asset pipeline (CSS/JS/image processing), shortcodes and render hooks, page bundles, cover images, Hugo Modules, performance, SEO, and CI/CD. Use when working on a Hugo theme or site template layer. Do not use this skill for unrelated requests; route to the nearest named specialist.
Dell hardware suite — Ansible automation against Dell PowerEdge iDRAC 9 (14G–16G) and iDRAC 10 (17G) BMCs via the `dellemc.openmanage` collection. Covers the iDRAC 10 / iDRAC 9 ≥ 7.30.10.50 `BasicAuthState: Unadvertised` default that silently 401s `ansible.builtin.uri`, the canonical `idrac_session` + `x_auth_token` lifecycle, iDRAC 10 attribute registry deltas (renamed groups, deprecated `vFlashSD*`/`Telemetry*`/`GroupManager`, the BIOS→`System.ServerPwr.*` move), iDRAC 9-only modules to avoid on 17G, WS-MAN removal on 17G, and the upstream bug catalog. Room for sibling skills covering RACADM, OpenManage Enterprise, DUP catalogs, and PowerEdge BIOS tuning.
infrastructureUIKit VIPER architecture (iOS 13+). Use when building VIPER modules, decomposing god ViewControllers, fixing retain cycles, or testing Presenters/Interactors.
Build reusable Terraform modules
Use when you need to create a DEVELOPER.md file for a Maven project — combining a fixed base template with dynamic sections derived from the project pom.xml, including a Plugin Goals Reference, Maven Profiles table, and Submodules table for multi-module projects.