107 plugins from public Claude Code marketplaces. Each one bundles skills, slash commands, agents, hooks or MCP servers that install together.
Showing 107 plugins that match these filters.
testland-qatestland/qa2
rotetrevhud/rote1
gibek-skillsjamarpl21/prawo-pl-eli1
rudder-agent-skillsrudderlabs/rudder-agent-skills1Submit the repo with .claude-plugin/marketplace.json and we list every plugin.
Submit marketplaceCreate original, competition-ready commercial mediation problems and confidential packets with iterative validation. Use when a user provides a topic, industry, dispute sketch, or existing general-information packet and wants a public packet plus confidential packets for both sides—or one named side. Build a narrow but workable settlement corridor; verify factual and numerical consistency, information asymmetry, balance, originality, and commercial feasibility; and revise until deterministic and semantic exit criteria pass. Do not use merely to summarize an existing packet or to advise parties in a real dispute. Requires local file access; Python 3 is recommended for bundled deterministic checks, with disclosed manual fallbacks when unavailable.
Analyze a U.S. Supreme Court oral argument transcript for a lawyer who has not read it: each advocate's position, authorities discussed, the bench's concerns, tentative judicial leanings, possible dispositions, and advocacy strengths and weaknesses, with transcript pinpoints. Use for oral argument analysis, a SCOTUS argument report, or an assessment of how the justices approached a case. Requires readable transcript content; research, Python tallying, and document creation are optional, with disclosed fallbacks.
Ai2 Asta MCP — Semantic Scholar academic graph over MCP (no Python). Intent-to-tool routing, safe fields defaults to avoid context blowups, citation traversal, author lookup, snippet evidence retrieval, and DOI/arXiv/PMID via externalIds.
Journal impact factor (JCR IF) lookup — find a journal's IF by name, compare IF across journals, and rank publication venue quality, backed by a bundled journals_if.csv dataset and a local Python CLI
Fetch and export public X (Twitter) data with a self-contained Python CLI built on the twikit library — no developer API keys, just the user's own login cookies. Covers user profiles, a user's tweets/replies/likes, single tweets, threads, search, followers/following, home/bookmark timelines, with JSON/JSONL/CSV/SQLite output and resumable pagination. Use whenever the user wants to scrape, download, collect, archive, monitor, or analyze tweets or X/Twitter accounts, export a timeline or follower list to a file or dataset, pull X data for research, or build a tweet corpus — even if they don't name the tool. Requires the user's own X login cookies (auth_token + ct0, or username/password login).
Property-based testing with Hypothesis (Python), fast-check (JS/TS), proptest (Rust) and jqwik (JVM): generators, shrinking, and CI integration. Agents (property-based-test-author, vacuous-property-critic) write one property per invariant and flag assume-heavy or always-true properties.
functional-testingNew 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.
Orzeczenia sądów powszechnych (SA/SO/SR) bezpośrednio z Portalu Orzeczeń MS: wyszukiwanie, metryka, pełne uzasadnienia, powołane przepisy, PDF i RSS. Publiczny HTML/XML przez standardową bibliotekę Pythona, bez przeglądarki.
Onboard an existing app to RudderStack AI events (spec v0.3) with the @rudderstack/ai (Node.js), rudderstack-ai (Python) and ai-sdk-go (Go) SDKs: discover AI surfaces, plan ai-events.md, instrument, and verify.
devtoolsPerformance engineering: frontend performance budgets and Core Web Vitals, backend latency, memory and resource profiling, caching, and Python performance.
Agent skill for LandingAI's Agentic Document Extraction (ADE): production-ready document AI with 99%+ accuracy. Convert complex, real-world documents into accurate, structured data with full traceability. Parse, extract, classify, and build end-to-end pipelines through the REST APIs or the Python and TypeScript libraries, without templates or ML training.
Complete skill set for designing FastAPI backends using Domain-Driven Design and Onion Architecture in Python: architecture patterns, presentation layer, testing, and tooling
Opt-in blocking gate. Registers one PreToolUse hook that denies agent edits to trust surfaces and asks a human before force pushes, tags, releases, publishes, and risky deletes. Needs python3 on PATH. See HOOKS.md.
Python unit testing with pytest: fixtures, parametrize, markers, mocking, coverage and CI, plus async tests with pytest-asyncio. Covers framework choice and test conventions, with unittest and doctest as references.
functional-testingAI skill for Python backend development - FastAPI, SQLAlchemy, Redis, security patterns
Skills for interacting with the Cogniac platform via the cogniac CLI and Python SDK
Migrate EverOS Cloud callers between API/SDK versions — Python SDK and raw HTTP in any language.
Debian packaging skill covering policy, debhelper, and language-specific packaging for Ruby, Python, Rust, and Go.
developmentBuild UiPath Studio projects, REFramework scaffolds, XAML workflows, and VB/C# expressions via 104 deterministic Python generators. Trigger keywords: UiPath, REFramework, XAML, RPA, Orchestrator, dispatcher, performer, queue items, project.json, Config.xlsx.
Auto-format files after Claude edits them. Supports Go, Rust, Python, and JS/TS.
