johnlindquist-badger-2350-plugin

Community-curated, human-vetted skills for AI coding and agent tools. Focused on practical, production-ready skill implementations.

200 skills

CFN Loop skill for unified error handling, batching, and structured logging across agent failures with categorization and recovery.

169 skills · 9 agents

Search and discover Claude Code skills and MCP servers from marketplaces and GitHub. Use to find tools for specific tasks or explore available integrations before building custom solutions.

160 skills

Collection of Claude Code plugins tailored for streamlining software development and engineering processes.

85 skills

Pre-built SWE workflows for Claude Code covering development patterns, testing strategies, and engineering best practices for software projects.

32 skills · 40 agents

Supercharged plugin collection with 109 components: 22 agents, 32 commands, 55 skills across 13 modular plugins. Includes deep reasoning, autonomous dev loops, DDD architecture, git automation, and design system enforcement.

66 skills

Transform Claude into an Azure expert. This plugin integrates the Azure MCP server and specialized Azure skills to move beyond generic advice. It enables Claude to perform real-world tasks: listing resources, validating deployments, diagnosing infrastructure issues, and optimizing costs across 50+ Azure services.

44 skills · 1 MCP server

CI/CD pipeline configuration, GitHub Actions/GitLab CI workflow setup, and automated deployment pipeline orchestration

4 skills · 1 command · 5 agents

Build, manage, and deploy Wix sites and apps. Includes CLI development skills and Wix MCP server for site management, eCommerce, CMS, dashboard extensions, and more.

37 skills · 1 MCP server

Build, launch, grade, and schedule Claude Managed Agents (CMA) in your own Anthropic account — a plugin re-implementation of Anthropic's launch-your-agent reference skill (Apache-2.0; independent, not a fork). Every session starts with a goal (./my-agent/goal.json, opt-in SessionStart hook, driven by /cs-goal); loop_compiler.py compiles it into a bounded grade->iterate loop (max_iterations 1..20), a recurring cron scheduled-deployment loop, or a single-pass interview->stage->launch workflow. 6 skills: orchestrator (context: fork goal router) + interview + stage-launch + grade-iterate + run-without-you + wrap-up. 18 stdlib-only deterministic scaffolders (no network/API calls; live launches emitted as BYOK curl that never prints the key), 4 agents, 8 commands, hooks, 5 references, 4 assets. Validators enforce CMA limits. Distinct from engineering/agent-harness (generic domain loop) and write-a-skill (authors Claude Code skills, not CMAs).

6 skills · 8 commands · 4 agents · hooks

DevOps, cloud, and deployment specialists - Kubernetes, Terraform, AWS, Azure, GCP, and SRE

Production LLM inference including vLLM, TensorRT-LLM, llama.cpp, and SGLang. Use when deploying models for production inference.

98 skills