Write, refactor, and ship code with an agent that knows your stack.
Most artifacts in the catalog live here: tools that read a codebase, follow its conventions, and make changes you would not be embarrassed to review. Expect language-specific helpers, refactoring workflows, spec-driven development harnesses, and framework-aware assistants for stacks like React, Next.js, Python, Rust, and Go. If you want your agent to stop writing generic code that ignores how your project actually works, start here.
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MCP server for x64dbg debugger - 23 mega-tools for AI-powered reverse engineering and debugging
2389.ai skill collection including Firebase, CSS, testing, and development workflows
CLI-first serial port debugging and macro automation with serial-mcp-server for Codex and Claude Code. Use when working with UART or USB-serial devices, listing serial ports, probing STM32/Arduino/ESP32 boards, writing or reading serial data, running JSON serial macros, controlling RTS/DTR, or using serial-mcp-server through MCP tools.
MCP OpenAPI schema explorer
Make assistant output sound human. Strip AI-isms (sycophancy, stock vocab, hedging stacks, em-dash pileups), engineer burstiness, restore voice. Preserves code, URLs, and technical accuracy.
Interactive plan annotation UI: review, strikethrough, and comment on Claude's plans before approving. Fully local, no external services.
kompl-mcp MCP server
Use Claude Code like a Director, not a Programmer. Complete toolkit with 27 commands, 14 agents, 32 skills, and TDD-based Auto-Loop.
Stateful LSP runtime for AI agents — 50+ tools across 30+ languages via MCP.
Unified execution environment for Python code, shell commands, and programmatic MCP tool calls
AI-native BizDevOps rhythm manager for Claude Code — multi-role collaboration, change impact analysis, quality gates, goal-to-code traceability, and cross-session continuity
Train your AI coders the way you'd train a vine — discover your codebase's actual patterns, then encode them as rules, skills, agents, hooks, and a guided pipeline so generated code lands inside your conventions on the first try, not the fifth
Pydantic AI, LangGraph, DeepAgents, and Vercel AI SDK skills for building and reviewing AI applications.
Documentation quality, generation, and improvement using Diataxis principles. Pairs with beagle-core for full workflow.
Tools for working with prompts and PRs alongside the manifest workflow. Collaborative PR walkthroughs, autonomous PR review with per-comment verification, author-side PR babysitting via manifest-dev, gap-calibrated prompt engineering, cross-boundary context handoff, and incremental teaching for session work.
Analyze Claude Code sessions to learn what went right/wrong and suggest high-confidence improvements to skills. Use when asked to analyze a session, learn from a session, or review workflow effectiveness.
Go code review and development skills covering architecture, middleware, data persistence, concurrency, and framework-specific patterns for BubbleTea, Wish SSH, and Prometheus.
Harden a manifest-dev task guidance file for one-shot quality — either /define's quality-gate/Default set or figure-out's probe set. Iterates: orthogonality gap analysis, user-approved additions, prompt review, fix, converge. Use when a task file needs comprehensive coverage or "harden task file".
Iteratively optimizes prompts for token efficiency by maximizing information density - reduces verbosity, removes redundancy, tightens phrasing while preserving semantic content. Use when asked to compress, shorten, reduce tokens, tighten, maximize density, increase information density, or make a prompt more concise.
React, React Flow, React Router, Remix v2, shadcn/ui, Tailwind v4, Vitest, and Zustand code review. Pairs with beagle-core for full workflow.
Rust code review and development skills covering ownership, lifetimes, error handling, async/tokio, serde, sqlx, axum, macros, FFI, unsafe, concurrency, and testing patterns.
Sync the prompt-engineering plugin from a local clone of claude-code-plugins into .claude/ so the repo is self-contained for isolated/web environments. Copies agents/skills, removes only previously-synced items that disappeared upstream. Other content in .claude/ is left alone. Use when asked to sync claude-code-plugins, pull prompt-engineering, refresh prompt-engineering plugin.
Shared code review workflows, verification protocol, git commands, and feedback handling. Recommended as a base for all beagle plugins.
Generate multi-CLI distribution packages from the Claude Code plugin. Converts shared skills and package assets for OpenCode, Codex CLI, and Pi under dist/. Run after changing plugin components to keep distributions in sync.
Architecture analysis, brainstorming, ADR generation, LLM-as-judge comparison, and spec gap resolution.
Swift, SwiftUI, SwiftData, iOS animation design/implementation/review, and framework code review (HealthKit, CloudKit, WidgetKit, watchOS, App Intents). Pairs with beagle-core for full workflow.
A template for creating new Claude Code plugins
Language-agnostic test plan generation and execution.
Python, FastAPI, SQLAlchemy, PostgreSQL, and pytest code review. Pairs with beagle-core for full workflow.
🤖 Build powerful AI agents with TypeScript. Agenite makes it easy to create, compose, and control AI agents with first-class support for tools, streaming, and multi-agent architectures. Switch seamlessly between providers like OpenAI, Anthropic, AWS Bedrock, and Ollama.
Elixir, Phoenix, and LiveView code review and documentation skills
Design RESTful APIs with best practices for consistency and usability
Provides coding assistance with best practices and code review
Personal Claude Code + Codex dev stack: security hooks, AI-first code conventions, /security-review, /repo-map, /stack-check, portable statusline. Designed to complement other skills-based plugins, not replace them.
Build in verifiable increments. Never implement more than can be tested right now. Ship partial working systems over complete broken ones.
Safe, behavior-preserving code transformation backed by tests. Refactor with evidence, not instinct.
Knowledge graph for token-efficient code reviews -- semantic search and call-graph resolution across your codebase.
Accessible, performant, responsive UI patterns. Component design, state management discipline, and Core Web Vitals compliance.
Converts vague ideas into concrete, testable specifications with acceptance criteria. No implementation begins without a spec.
Local context compression for Claude Code workflows, including structured data, debug-heavy output, and supported source files.
Get layered, context-aware explanations of unfamiliar code. Understand what it does, why it was written that way, and how to work with it safely.
Safe, self-hosted OWASP ZAP operator for guided AI security scans and reports.
Ghost personas review your code before it ships.
MCP server for AI-assisted control of Neovim via msgpack-RPC
APIClaw Skills - AI Agent capabilities for Amazon Product Research
APIClaw Skills - AI Agent capabilities for Amazon Product Research
APIClaw Skills - AI Agent capabilities for Amazon Product Research
APIClaw Skills - AI Agent capabilities for Amazon Product Research