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#rust #ai #claude #cli #coding_agent #llm #mcp #openai #rust #terminal #tui

jcode is a fast, low-RAM coding agent for Linux, macOS, and Windows that boosts your skills with multi-session workflows, smart memory recall, swarm collaboration, side panels for diagrams/files, and logins for models like Claude or OpenAI. Install easily via `curl -fsSL https://raw.githubusercontent.com/1jehuang/jcode/master/scripts/install.sh | bash`, then run `jcode`. It uses far less memory (27MB vs. 300MB+ for rivals) and starts in 14ms, letting you handle many agents smoothly without slowdowns or high costs—perfect for efficient, scalable coding.

https://github.com/1jehuang/jcode
#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
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#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
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#python #automation #claude #mcp #notebooklm #skill

This tool turns many kinds of content, like web pages, PDFs, podcasts, videos, and files, into formats like podcasts, PPTs, mind maps, quizzes, and reports with NotebookLM. It can also handle many sources automatically, including public pages, social posts, and some paywalled articles, and it supports Chinese and English well. The benefit to you is simple: you can save time, understand content faster, and reuse the same material in the format you need for study, work, or sharing.

https://github.com/joeseesun/qiaomu-anything-to-notebooklm
#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
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#typescript #ai_agent #ai_coding_agent #anthropic #bun #claude #cli #coding_assistant #llm #mcp #multi_provider #openai #rust #terminal #tui #typescript

omp is a coding agent with the IDE built in. It works on macOS, Linux, and Windows, and gives you many tools for reading, editing, searching, debugging, browser use, and subagents. It can use lots of AI providers and model choices, and it is made to work well right away with real coding tasks. The benefit for you is faster, more accurate coding help in one place, with less setup and fewer extra tools.

https://github.com/can1357/oh-my-pi
#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
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