Write, refactor, and ship code with an agent that knows your stack.
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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.
Local context compression for Claude Code workflows, including structured data, debug-heavy output, and supported source files.
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.
Safe, self-hosted OWASP ZAP operator for guided AI security scans and reports.
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.
Ghost personas review your code before it ships.
APIClaw Skills - AI Agent capabilities for Amazon Product Research
APIClaw Skills - AI Agent capabilities for Amazon Product Research
AI-powered resume builder with job discovery, dual ATS + HR scoring, and cover letter generation. Finds and ranks live job listings by fit, tailors your resume to any JD, auto-detects 6+ professional domains, and produces Workday-compatible DOCX output.
APIClaw Skills - AI Agent capabilities for Amazon Product Research
APIClaw Skills - AI Agent capabilities for Amazon Product Research
Generate validated GraphQL queries against this server's schema
APIClaw Skills - AI Agent capabilities for Amazon Product Research
APIClaw Skills - AI Agent capabilities for Amazon Product Research
Implementation blueprint from spike experiments — SEP-2640 Skills support AND the schema-server toolkit lift (config-driven MCP servers for SQL / GraphQL / OpenAPI backends). Requirements, proven patterns, multi-dialect SQL connector trait, two-axis Skills (Type 1 build-time vs Type 2 runtime SEP-2640), and the dual-surface invariant. Auto-loaded during implementation work.
APIClaw Skills - AI Agent capabilities for Amazon Product Research
APIClaw Skills - AI Agent capabilities for Amazon Product Research
PMCP SDK developer tools — protocol testing, scaffolding, schema export, and docs
APIClaw Skills - AI Agent capabilities for Amazon Product Research
APIClaw Skills - AI Agent capabilities for Amazon Product Research
Engineering process for solo founders and teams up to 50 engineers. Agents do architecture, code review, QA, and security. You make two decisions per feature.
APIClaw Skills - AI Agent capabilities for Amazon Product Research
Personal LLM-managed wiki: ingest sources, cross-reference pages, query with citations, and lint your markdown knowledge base
Make your AI agent code with your project's architecture, rules, and decisions.
Self-evolving Claude Code system that learns from corrections, manages context, and improves every session
Multi-provider notification plugin for Claude Code
Local-first codebase intelligence MCP server for AI coding agents.
Production-ready Claude Code configuration with role-based workflows (PM→Lead→Designer→Dev→QA), safety hooks, 44 commands, 19 skills, 8 agents, 43 rules, 30 hook scripts across 20 events, auto-learning pipeline, hook profiles, and multi-language coding standards
Autonomous development orchestration with parallel TDD execution
MCP server for Wireshark/tshark integration — capture live traffic, analyze .pcap files, apply display filters, follow TCP/UDP streams, and export to JSON.