22 plugins from public Claude Code marketplaces. Each one bundles skills, slash commands, agents, hooks or MCP servers that install together.
Showing 22 plugins that match these filters.
claude-code-skillsalirezarezvani/claude-skills1
pm-claude-skillsmohitagw15856/pm-claude-skills1
thinking-skills-marketplacetjboudreaux/cc-thinking-skills1
ai-agent-skillsysskrishna/ai-agent-skills1Submit the repo with .claude-plugin/marketplace.json and we list every plugin.
Submit marketplaceAdversarial thinking partner for founders and executives. Stress-tests plans, prepares for board meetings, navigates hard calls, runs postmortems. 5 sub-skills with slash commands.
Thinking-mode skills that change HOW your AI reasons, not just what it does: escape the generic answer, run cognitive panels, and adversarially stress-test your own decisions. Inspired by parallel-divergent-ideation research.
33 Claude Skills that carry a design project from a fuzzy challenge to a tested, decision-ready concept: challenge framing, interview guides and screeners, transcript synthesis, personas and journeys, HMWs and concept cards, prototype and test plans, and the stakeholder playback.
productivityClaude Guide for Product Strategy: 32 Claude skills for one product strategy cycle in eight stages: diagnose with the strategic question, a product health read, an issue tree and a hypothesis board; read the market and the customer with competitors, segments by need, an opportunity solution tree and a market size; choose with options that differ in kind, a decision matrix, the bets and the not-doing list; stress-test with scenarios, a red team review and a pre-mortem; put numbers on it with a business case, a north star metric and strategy KPIs; build the Now-Next-Later roadmap and quarterly OKRs; tell it in the strategy document, the one page, the deck and the board memo; then review it each quarter. For product managers and product leaders who own a strategy or a roadmap, and founders and fractional product people who write one for a client. Claude structures the thinking and drafts the documents; a named person makes the choices, and every figure names its source or is marked as an
productivity28 eval-informed thinking skills for Claude Code, including first-principles, probabilistic reasoning, systems thinking, TRIZ, OODA, pre-mortem analysis, and more
All structured thinking skills in one install: root-cause analysis, trade-offs, pre-mortems, prioritization, estimation, creative and critical thinking, plus a selector that picks the right method.
Method-driven skills for knowledge work: strategy, research, critical thinking, data analysis, docs, slides.
Eight lateral thinking techniques plus a router that picks the right one for how you're stuck.
Spec-driven development, deep thinking, and code quality workflows
仕事の日本語文書を、読みやすくわかりやすく書く・直す natural-japanese と、提案書・稟議書・報告書の論旨を決裁者の目で検査して直す critical-thinking の2つのスキル。議事録・調査レポート・社内ガイド・リサーチメモ・スライド構成などの仕事の文書から、技術記事・PR の説明文・note・ブログ・エッセイまでを扱う。AI らしい書き癖を取り除くことも含む。
Skills for AI-native development: /assess (codebase readiness scoring + complexity hotspot SVG) and /huddle (Six Thinking Hats deliberation with Fibonacci team sizing). Also bundles user-invoked personal workflow skills (/tm, /issues, /fix-pr, /fix-develop).
Teach and coach rather than deliver answers: Socratic mentoring for juniors, study modes, understanding checks, critical thinking and devil's advocate review, self-learning architecture paths, and scientific paper research.
Eleven agent skills for thinking better: ask, learn, solve, decide, know yourself. Every skill is user-invoked as /evolution:<name>.
Use when interpreting biological research findings, evaluating life science evidence, analyzing molecular or cellular mechanisms, comparing competing biological hypotheses, designing or critiquing experiments in biology, genetics, genomics, cell biology, immunology, neuroscience, ecology, or any life science domain.
Use when interpreting research findings, evaluating scientific evidence, analyzing mechanisms, comparing competing hypotheses, designing experiments, or constructing scientific arguments.
Use when evaluating grant ideas, diagnosing proposal logic, framing fundable projects, strengthening reviewer-aware arguments, or preparing to write any section of a research proposal.
Use when evaluating biology grant ideas in the Chinese funding context (NSFC, MOST, etc.) — diagnosing project legitimacy, mechanism-centered scientific questions, reviewer-aware logic, innovation discipline, feasibility, and scope control across funding levels (youth, general, key).
Official Anthropic SDK patterns for TypeScript/Node.js — client setup, Messages API, streaming, tool use, vision, extended thinking, structured outputs, prompt caching, batch API, and production best practices
Inference-API compatibility suite — the three open LLM serving protocols as third-party surfaces: OpenAI Chat Completions + legacy /v1/completions (7 local servers, gateways, 10 cloud compat endpoints, reasoning-field schism, client wire behavior), OpenAI Responses (spec, streaming events, store/previous_response_id semantics, translation), and Anthropic Messages (7 native server implementations, thinking-signature seam, stop_reason divergences, Claude Code/opencode integration). Source-examined at pinned commits with live-verification logs.
inferenceStrategic thinking, planning, and implementation — forge, apex, ultrapex, oneshot
