41 Plugins aus öffentlichen Claude Code marketplaces. Jedes bündelt Skills, Slash-Commands, Agents, Hooks oder MCP servers, die zusammen installiert werden.
Zeige 41 Plugins, die diesen Filtern entsprechen.
aiwgjmagly/aiwg2
pm-skillsphuryn/pm-skills1
scenario-skillsscenario-labs/skills1
claude-code-skillsalirezarezvani/claude-skills1Reiche das repo mit .claude-plugin/marketplace.json ein und wir listen jedes plugin auf.
Marketplace einreichenAutonomous multi-agent development framework with spec-driven sprints. Write specs, run /sprint, and let coordinated agents (backend, frontend, QA, UI testing) handle implementation through self-iterating convergent loops.
Go-to-market skills for PMs: GTM strategy, growth loops, GTM motions, beachhead segments, and ideal customer profiles.
Video generation, editing, and color grading, kinetic-type launch films, seamless motion loops, music, sound effects, voice, and speech.
Iterative AI coding loops with automatic recovery - iteration beats perfection
GTD weekly-review loop. Scans the workspace for open loops (unchecked boxes, TODO/FIXME, stale files), walks the three-phase GET CLEAR / GET CURRENT / GET CREATIVE checklist with a refusal gate (review is never COMPLETE while a mandatory GET CURRENT step is missing), and audits commitments for stalled / no-next-action / someday candidates with a 0-100 health score. Fills the periodic-review gap from audit/productivity-2026-07.
Autonomous research loops, agent harnesses and research artifacts.
researchLoops (a file-based knowledge base) + a codebase harness (dev-local, e2e, crabbox cloud boxes, verify-before-ship) so agents can run, test, and ship code autonomously.
engineeringComplete system: 15 problem-shaped skills backed by 97 genius agents, 86 skills total, 30 commands, 71 tools, 36 hooks, authoritative coding-standards rules, goal-driven and autonomous build loops, and the shared Claude Code and Codex gates
Design complex n8n workflows with AI assistance - loops, branching, error handling
Azure AI Foundry agent development toolkit covering Agent Service synchronization, hosted agents with AG-UI frontends, Microsoft Agent Framework and Semantic Kernel, gateway and API governance, semantic caching, agent identity, and evaluation loops.
Improve existing code without changing behavior: surgical refactoring, complexity reduction, repository-wide review, design pattern and SOLID checks, formatting conventions, linter autofix loops, tech-debt planning, and incremental delivery discipline.
Run day-to-day Git and GitHub workflows: conventional commits and branches, issue and release management, pull request review loops, dashboards, Dependabot, and contribution guardrails.
Modernize COBOL, DB2, VSAM, and JCL systems with evidence-first archaeology, REQ-NNN lineage, bounded correction loops, an extracted engineering graph, behavior and data equivalence proof, and human-gated delivery.
Modernize Software AG Natural and Adabas systems with evidence-first archaeology, REQ-NNN lineage, bounded correction loops, an extracted engineering graph, behavior and data equivalence proof, and a preview-first workspace publisher.
Use for planning, TDD, verification loops, constraints, gardening, review, PRs, debugging, and ticket pipelines. Lean MIT skill stack for coding agents.
Domain-agnostic data-product skills, operating loops and analyst evidence graphs, with healthcare, marketing, logistics/ops and ecommerce applications.
Write and migrate automated tests across ecosystems: Jest for JavaScript and TypeScript, Vitest with Vue and Pinia, pytest coverage loops, Pester major-version migrations, Terratest modules, and exploratory web testing.
22 working methods for llm engineering: agent-memory, agentic-loops, coding-agent-workflow, context-engineering, and more
Direct and render launch films, update videos, product videos, feature loops, logo stings and UI walkthroughs with Remotion or HyperFrames: a direction per film, real imagery, brand kits and a licensed music track.
Human-in-the-loop (HITL) gate definitions for agent operations. Provides reusable YAML gates for destructive-action authorization, false-positive override, and recovery escalation. Loaded by agent loops and orchestrators that need bounded human checkpoints.
