17 Plugins aus öffentlichen Claude Code marketplaces. Jedes bündelt Skills, Slash-Commands, Agents, Hooks oder MCP servers, die zusammen installiert werden.
Zeige 17 Plugins, die diesen Filtern entsprechen.
agent-powerupsyeaight7/agent-powerups2
claude-code-plugins-plusjeremylongshore/tons-of-skills-marketplace1
claude-code-workflowswshobson/agents1
claude-code-skillsalirezarezvani/claude-skills1Reiche das repo mit .claude-plugin/marketplace.json ein und wir listen jedes plugin auf.
Marketplace einreichenComprehensive codebase cleanup across 11 quality dimensions — dead code, duplication, weak types, circular deps, defensive cruft, legacy code, AI slop, type consolidation, security, performance, and async patterns. Confidence scoring and build verification gates.
Technical debt reduction, dependency updates, and code refactoring automation
Audits code for unit and decimal-scaling bugs and annotates it with dimensional comments recording the units of each value. Use when someone asks to audit or review code for unit confusion, decimals or scaling mismatches, WAD/RAY scale errors, or the wrong token's decimals; to annotate units in a codebase; or to perform a dimensional analysis of a DeFi protocol, offchain code, or other arithmetic-heavy codebase. Catches formulas that combine values carrying different units or scales.
Relentless plan-and-design interrogator. Walks the decision tree one branch at a time, asking forcing questions sequentially with recommended answers. Explores codebase before asking. Derived from Matt Pocock's MIT-licensed grill-me with: (1) 3 stdlib Python tools (decision-tree extractor across 6 branch kinds, question generator with dependency-aware ordering, JSON-backed session tracker for multi-day grills), (2) 3 references citing 7-8 sources (6 forcing-question patterns, when to stop grilling, companion tooling), (3) cs-grill-master persona agent + /cs-grill-me slash command. Matt's relentless one-at-a-time interview discipline preserved verbatim per MIT.
RLM-inspired recursive context decomposition for processing arbitrarily large codebases and document corpora through programmatic sub-agent delegation
Understand a codebase before looking for bugs in it. Reads it function by function, records what each one assumes and depends on, and saves the write-ups to files instead of filling up the conversation.
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).
Analyze an existing codebase and generate evidence-backed blueprints: architecture, folder structure, technology stack, code exemplars, workflow analysis, repository history, and Copilot instruction scaffolds.
Enterprise React 18 migration toolkit with specialized agents and skills for upgrading React 16/17 class-component codebases to React 18.3.1. Includes auditor, dependency surgeon, class component migration specialist, automatic batching fixer, and test guardian.
Safe refactoring, dead-code removal, legacy modernization, and dependency hygiene.
developer toolsEnterprise React 19 migration toolkit with specialized agents and skills for upgrading React 18 codebases to React 19. Includes auditor, dependency surgeon, source code migrator, and test guardian. Handles removal of deprecated APIs including ReactDOM.render, forwardRef, defaultProps, legacy context, string refs, and more.
Search-first codebase understanding, context retrieval, mapping, pattern detection, and living project intelligence.
developer toolsTime and timezone testing: fake clocks across runtimes, DST transitions, leap seconds, and timezone test matrices built from a codebase's date handling. Fake clocks cover freezegun, Jest and Sinon fake timers, timecop, java.time.Clock, .NET TimeProvider and libfaketime. A critic agent (time-handling-critic) flags naive now() calls and DST-unsafe arithmetic.
backend-distributedRun Claude (or any capable LLM) as an autonomous senior engineer on any codebase — config-driven hooks enforcing discover-then-reuse, plus coordinator/succession/doc-sync skills and planner/builder/auditor agents. Frontend or backend, any language.
productivityTask Researcher and Task Planner for intermediate to expert users and large codebases - Brought to you by microsoft/edge-ai
Find similar implementations, usage examples, or existing patterns in the codebase. Provides concrete code examples based on what you're looking for.
CodeAlive context engine for semantic code search and AI-powered codebase Q&A. Enables AI coding agents to understand entire codebases beyond just open files — search across all indexed repositories, trace cross-service dependencies, discover usage patterns, and get synthesized answers to architectural questions. Includes a lightweight code exploration subagent, authentication hooks, and multiple search modes (fast lexical, semantic, and deep cross-cutting). Works standalone or alongside the CodeAlive MCP server for direct tool access via the Model Context Protocol.
