#shell #ai_agents #ai_assisted_development #anthropic #claude #claude_code #game_design #game_development #gamedev #godot #indie_game_dev #unity #unreal_engine

Claude Code Game Studios turns one Claude Code session into a full game dev team with 49 specialized agents, 72 skills, 12 hooks, and 11 rules for engines like Godot, Unity, and Unreal. Use slash commands like `/start`, `/brainstorm`, or `/dev-story` for design, coding, QA, and release—agents ask questions, show options, and get your approval to stay organized. You benefit by building games solo with pro structure, catching errors early, and shipping faster without chaos.

https://github.com/Donchitos/Claude-Code-Game-Studios

#typescript #agent #agentic_rag #ai_coding #claude_code #code_generation #code_search #cursor #embedding #gemini_cli #mcp #merkle_tree #nodejs #openai #rag #semantic_search #typescript #vector_database #vibe_coding #voyage_ai #vscode_extension

Claude Context is a plugin that adds semantic code search to Claude Code and other AI tools, using your full codebase as context via a vector database like Zilliz Cloud. It finds relevant code instantly with natural language queries, indexes efficiently (only changed files), and cuts token use by ~40% for the same quality. You save costs on large projects, get precise results without loading whole files, and code faster with deep, relevant context across millions of lines. Setup needs free Zilliz/OpenAI keys and Node.js 20+; works with VS Code, Cursor, and more.

https://github.com/zilliztech/claude-context

#other #agent_skills #ai_agents #antigravity_skills #awesome #awesome_list #awesome_lists #claude_code #claude_code_skills #claude_skills #codex_skills #cursor_skills #gemini_skills #opencode_skills #skills

This curated collection offers over 1100 hand-picked Agent Skills from top teams like Anthropic, Google, Vercel, Stripe, Cloudflare, Microsoft, OpenAI, and Figma, plus community gems for coding, security, marketing, and more—compatible with Claude Code, Codex, Cursor, and others. Unlike AI-generated junk, these are real-world tools for tasks like document editing, cloud deployments, auth setups, and PM workflows. You'll save hours debugging, boost code quality, and ship faster with expert guidance directly in your AI tools.

https://github.com/VoltAgent/awesome-agent-skills

#typescript #antigravity #claude #claude_code #claude_code_hooks #claude_code_plugins #claude_code_skill #codex #codex_cli #context_mode #copilot #cursor_plugin #kiro #mcp #mcp_server #mcp_tools #openclaw #opencode #pi_agent #skills #zed_extension

Context Mode is an MCP server that fixes context window overload in AI coding tools by sandboxing raw data (like 56KB snapshots or logs) outside chats—shrinking 315KB to 5.4KB (98% savings), tracking sessions in SQLite for seamless resumes after compaction, and making LLMs generate code for analysis instead of dumping data. It installs easily on 12 platforms (Claude Code, Cursor, etc.) with hooks for auto-routing. You benefit by extending sessions 6x longer, picking up tasks instantly without re-explaining, and boosting productivity on big repos or logs.

https://github.com/mksglu/context-mode

#go #agents #claude_code #coding

Beads (bd) is a free CLI tool for macOS, Linux, Windows, and FreeBSD that gives AI coding agents persistent, structured memory via a version-controlled Dolt SQL database with graphs for tasks, dependencies, and hierarchies. Install once with `curl` script or brew, then `bd init` in any project—no repo cloning needed. Key commands like `bd ready`, `bd create`, and `bd update` track blockers, claim tasks, and auto-detect ready work in JSON for agents. It prevents conflicts with hash IDs, compacts old tasks, and supports stealth/git-free modes. You benefit by replacing messy plans with clear, long-term task tracking that keeps AI agents focused without losing context, boosting productivity on complex projects.

https://github.com/gastownhall/beads

#shell #agent_skills #antigravity #antigravity_ide #claude_code #cursor #skills

Agent Skills gives AI coding agents structured workflows that follow how senior engineers build software. You get 20 skills organized across six development phases—Define, Plan, Build, Verify, Review, and Ship—each with step-by-step processes, quality gates, and verification requirements. Seven slash commands activate the right skills automatically based on what you're doing. This benefits you by ensuring AI agents consistently follow production-grade practices like writing specs before code, testing thoroughly, reviewing for quality, and deploying safely. Instead of taking shortcuts, your AI assistant now enforces the same discipline that makes reliable software, whether you're using Claude, Cursor, Gemini, or other coding tools.

https://github.com/addyosmani/agent-skills

#javascript #ai_agents #ai_gateway #anthropic #chatgpt #claude #claude_code #cline #codex #copilot #cursor #deepseek #free_ai #gemini #gemini_cli #llm #llm_gateway #openai #openai_proxy #qwen #token_saver

# 9Router//localhost:20128/v1`. You get unlimited coding with zero cost, no downtime, and intelligent fallback routing—perfect for developers who want maximum value from AI without subscription limits or surprise bills.

https://github.com/decolua/9router

#python #academic_pipeline #academic_writing #ai_research #claude #claude_code #literature_review #peer_review #prompt_engineering

# Academic Research Skills for Claude Code

This is a comprehensive toolkit that helps you write research papers from start to finish. Instead of AI writing your paper alone, it works as your research partner—handling the tedious work like finding sources, checking citations, and organizing arguments, while you focus on the thinking and writing that only you can do.

The system includes four main tools: Deep Research (for finding and organizing information), Academic Paper (for writing), Academic Paper Reviewer (for getting feedback), and Academic Pipeline (which coordinates everything together). You can use individual tools or run the complete pipeline. It supports multiple languages, citation formats, and paper types. The toolkit emphasizes human control at every step—you make the final decisions, and the AI flags potential problems like hallucinated references or weak arguments. Installation takes 30 seconds via plugin marketplace, and it costs roughly $4–6 to write a complete 15,000-word paper.

https://github.com/Imbad0202/academic-research-skills

#typescript #agent #ai #antigravity #claude_code #copilot #cursor #skills

Agent Skills is a safe, tested library of skills that adds new powers to AI coding tools like Cursor, Claude Code, and Copilot. It gives you ready-made workflows for planning, cloud help, browser testing, design-to-code, and security review. You can install or update skills with a simple command, and the tool keeps them cached for offline use. This helps you work faster, reduce mistakes, and use AI agents with more trust and control.

https://github.com/tech-leads-club/agent-skills

#rust #agentic_coding #ai_coding #anthropic #claude_code #cli #command_line_tool #cost_reduction #developer_tools #llm #open_source #productivity #rust #token_optimization

RTK is a fast command-line proxy for AI tools that cuts token use by 60–90% by cleaning and shrinking command output before it reaches the model. It works with many tools and commands, including Git, tests, builds, and cloud tools, with very little delay. This helps you save money, keep responses shorter, and use AI coding tools more efficiently.

https://github.com/rtk-ai/rtk

#typescript #antigravity_skills #business_knowledge #claude_code #claude_skills #codebase_analysis #codex #codex_skills #developer_tools_ai_agent #gemini_cli_skills #karpathy_llm_wiki #knowledge_base #knowledge_graph #memory #opencode_skills #pi_agent #understandcode #vibe_coding

Understand Anything turns a codebase or docs into an interactive knowledge graph you can search, explore, and ask questions about. It works with tools like Claude Code, Codex, Cursor, Copilot, and Gemini CLI. You can see files, functions, classes, and dependencies in one place, get plain-English explanations, and find what changes affect before you commit. This helps you learn large projects faster, understand how pieces fit together, and save time when onboarding or reviewing code.

https://github.com/Lum1104/Understand-Anything