14 плагинов из публичных маркетплейсов Claude Code. Каждый объединяет навыки, слэш-команды, агентов, хуки или MCP server, которые устанавливаются вместе.
Показано 14 плагинов, соответствующих фильтрам.
ai-skillsAmey-Thakur/AI-SKILLS1
pappcorn-pluginspappcorn/universe1Отправьте репозиторий с .claude-plugin/marketplace.json, и мы перечислим каждый плагин.
Отправить marketplace14 bundled product skills with 19 Python tools: product-skills fork-orchestrator with continuous-discovery loop (deterministic 16-lane router, Torres cadence tracker, OST linter, /cs-product + /cs-grill-product + /cs-product-loop), product manager toolkit (RICE, PRDs), product strategist, UX researcher, UI design system, competitive teardown, landing page generator, SaaS scaffolder, product analytics, experiment designer, product discovery, roadmap communicator, spec-to-repo, design-qa (UI finish gate: inert controls, missing states, rendered WCAG 2.2 checks). Companion standalone plugins: agile-product-owner, code-to-prd, apple-hig-expert, research-summarizer, design-qa.
Add Arize AX observability to LLM applications — auto-instrumentation, trace export, dataset management, experiment workflows, prompt optimization, deep linking, and migrations from Langfuse, LangSmith, and Braintrust via the ax CLI.
Structured research summarization — summarize academic papers, market research, user interviews, and competitive analysis into actionable insights.
Arize AX platform skills for LLM observability, evaluation, and optimization. Includes trace export, instrumentation, datasets, experiments, evaluators, AI provider integrations, annotations, prompt optimization, and deep linking to the Arize UI.
Use this skill when asked to find, cite, analyze, or summarize Icelandic court decisions. Triggers on requests involving Hæstiréttur (Supreme Court), Landsréttur (Court of Appeal), Félagsdómur (Labour Court), héraðsdómur (District Court) case law, or Icelandic legal precedent research.
250 ready-to-run prompts as slash commands: summarize, tldr, explain, plan, goal, autoresearch, and more
Create 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.
A collection of Copilot skills that convert common document formats into Markdown so their contents can be accurately analyzed, summarized, searched, or extracted from. Just tell Copilot what you need — the right skill is invoked automatically and the conversion happens behind the scenes.
Paste a YouTube link and read its transcript, from the video's own or auto-generated captions, to summarize, quote or ask about it. Read-only. No API key, no Google account, nothing to set up. In Claude Desktop and Cowork, install the one-click .mcpb instead.
Turn a finished lecture's transcript into reusable Obsidian knowledge assets: a hub note that summarizes and indexes the talk, the raw transcript preserved byte-for-byte, atomic claim cards cross-linked to your vault, a Bases view, and a read-only closing gate.
Fetches URLs and PDFs, then summarizes or returns clean Markdown; can also search the web through DeepSeek when built-in search is thin. Use when asked to read, fetch, quote, cite, convert, or save a URL or PDF. Not for local text files already in the repo.
Connect to your Phoenix instance to debug, evaluate, and improve LLM applications.
backend
Read X/Twitter bookmarks using the bird CLI, verify the active account via `bird whoami`, and return bookmarks as JSON. Use when the user asks to list, search, summarize, or export X bookmarks, or when you must validate the active X account before fetching bookmarks.
Summarize a YouTube video into a structured Obsidian note (TL;DR, takeaways, chapters), with opt-in slide extraction that embeds key slides inline.
