51 plugins de marketplaces públicos de Claude Code. Cada uno agrupa skills, comandos de barra, agentes, hooks o MCP servers que se instalan juntos.
Mostrando 51 plugins que coinciden con estos filtros.
pm-claude-skillsmohitagw15856/pm-claude-skills2
claude-code-skillsalirezarezvani/claude-skills2
ai-marketing-hub-claude-adsAgriciDaniel/claude-ads1
dotnet-agent-skillsdotnet/skills1Envía el repo con .claude-plugin/marketplace.json y listaremos cada plugin.
Enviar marketplaceClaude-first, portable paid-media operations across 12 advertising platforms with source-grounded audits, deterministic findings and evidence coverage, lifecycle workflows, versioned JSON reports, and capability-gated account changes.
Skills for running, generating, analyzing, and improving .NET tests: test execution, filtering, platform detection, coverage, testability, and MSTest workflows.
Performance analysis, test coverage review, and AI-powered code quality assessment
Design & UX skills: UX Research Plan, Design Critique, Accessibility Audit, Design System Audit. Create research plans, critique designs using JTBD and Gestalt principles, audit for WCAG 2.2 compliance, and audit design systems for component coverage, token consistency, and adoption health.
Insurance professional skills: claims triage with coverage-trigger checks, underwriting file narratives, pre-renewal reviews, and risk-register coverage-gap analysis — analytical support for claims handlers, underwriters, and brokers.
Chief Customer Officer advisory: retention decomposition analyzer (honest GRR vs NRR; 7-category churn taxonomy with preventable% scoring), customer segmentation designer (4-tier framework, ICP fit scoring across 7 weighted signals, kill list + upgrade candidates), CS coverage calculator (pooled vs named CSM ratio math + 12-month hiring plan with quarterly sequencing). 4 in-depth references each citing 5+ authoritative sources. Standalone-installable; also bundled in c-level-skills. Strategic only — does not duplicate business-growth tactical CS skills.
ISO/IEC 42001:2023 AI Management System (AIMS) specialist: AIMS gap analyzer (Clauses 4-10 coverage + remediation priority), AI risk register builder (Annex A 38 controls per ISO 23894), and AIMS audit scheduler (Clause 9.2 cadence + auditor independence). Cross-framework mapping to EU AI Act, NIST AI RMF, ISO 23894. Stdlib-only.
Comprehensive C/C++ security code review, with coverage verified against a parse of the source
Multi-dimensional code health analysis with complexity, churn, and test coverage - identifies technical debt hot spots
Automated API endpoint testing with request generation, validation, and comprehensive test coverage
Analyze code coverage metrics, identify untested code, and generate comprehensive coverage reports
Generate comprehensive test reports with coverage, trends, and stakeholder-friendly formats
Test reporting and coverage analytics: JUnit XML, LCOV and Cobertura parsing, Allure reports, coverage diffs, and test run summaries for pull requests. Also covers JaCoCo and coverage.py analysis, risk-ranked coverage targets, TestRail / Xray / Zephyr Scale result sync, and Currents analytics. Agents (daily-test-suite-aggregator, release-quality-report-agent) roll up daily results across suites and assemble a release-quality go / no-go report. Jest and Vitest coverage lives in qa-unit-tests-js.
foundationsAnalyzes how multiple regulations interact for a specific product, service, or business model. Identifies where obligations overlap, reinforce, complement, duplicate, or conflict; builds a priority matrix; produces an integrated compliance timeline; and estimates the total compliance burden. Use when (1) scoping a new product or service against the full regulatory landscape before launch, (2) conducting M&A due diligence on a target's multi-regulation exposure, (3) building a strategic compliance roadmap where single-regulation analyses miss the interactions, (4) advising on complex situations where regulations touch the same conduct from different angles, or (5) estimating budget and resourcing for multi-regulation compliance. Primary coverage of EU digital regulation (GDPR, Data Act, AI Act, CRA, NIS2, DORA, DMA, DSA, ePrivacy) and national implementations; the framework extends to any jurisdiction where overlapping regulatory regimes apply to the same activity.
Structured NIS2 compliance assessment covering scope classification (Annex I/II, size thresholds, DORA/CIR checks), gap analysis across all 10 Art. 21 risk management measures with 0–4 maturity scoring and ISO 27001 references, and a prioritized compliance roadmap. Deep German BSIG-neu coverage (BSI registration, § 30/32/38, incident reporting, Nachweispflicht) plus high-level jurisdiction profiles for Italy, France, Netherlands, Austria, and Spain. Built on ENISA guidance and BSI #nis2know packages.
Review, draft, or redline a Data Processing Agreement (DPA / Auftragsverarbeitungsvertrag / AVV) under Art. 28 GDPR, or prepare a Joint Controller Arrangement under Art. 26 GDPR (basic). Supports bilingual output (DE/EN), both controller- and processor-side perspectives, and two review depths — quick (Art. 28(3)(a)–(h) coverage) and negotiation-grade (clause-by-clause risk scoring).
A skill for anyone needing legal documents translated into publication-ready English. Hand it a Word file in any language; get back an English .docx with formatting preserved, delivering notably higher quality than e.g. Legora’s DeepL tool. Unique features: * Skill has built-in English general lexicons and per-language sub-lexicons (phrasebooks) covering M&A, IP, IT/SaaS, finance, tax, litigation, employment and more. Full sub-lexicon coverage for 11 languages including Spanish, German, French and Chinese; others translate really well too. * Track changes read correctly when accepted or rejected, and typos are collapsed. * Definitions reordered alphabetically. * Headers, footers, footnotes and comments translated. * Translates to UK English by default, US English on request. * Quality gates throughout. * Takes minutes rather than seconds and is larger than simpler skills, but overall quality is higher. US English default version here: https://lawve.ai/en/skills/en-us-legal-translation-
A skill for anyone needing legal documents translated into publication-ready English. Hand it a Word file in any language; get back an English .docx with formatting preserved, delivering notably higher quality than e.g. Legora’s DeepL tool. Unique features: * Skill has built-in English general lexicons and per-language sub-lexicons (phrasebooks) covering M&A, IP, IT/SaaS, finance, tax, litigation, employment and more. Full sub-lexicon coverage for 11 languages including Spanish, German, French and Chinese; others translate really well too. * Track changes read correctly when accepted/rejected, and typos are collapsed. * Definitions reordered alphabetically. * Headers, footers, footnotes and comments translated. * Translates to US English by default, UK English on request. * Quality gates throughout. * Takes minutes rather than seconds and is larger than simpler skills, but overall quality is higher. UK English default version here: https://lawve.ai/en/skills/legal-translation-uk-englis
Generate a spreadsheet of test entries — newly designated names from OFAC, OFSI, and EU sanctions lists plus deliberate variations of those names — to validate that a sanctions screening system catches fresh designations and is tuned to the right fuzziness threshold. Use this whenever the user asks for sanctions list update test data, screening regression test data, screening QA, fuzzy match calibration, or wants to verify their screening lists are current. Trigger even if the user doesn't say 'screening' explicitly — phrases like 'test my sanctions list', 'check our SDN coverage', 'is my list up to date', or 'build me a regression set from the latest designations' should also invoke this skill.
Frontend development specialists for React, Vue, Next.js, CSS, HTML, and UI/UX design. Comprehensive coverage of modern frontend technologies.
