judragon003/antigravity-agent-skills
將本地全域 / 專案內 Agent Skills 集中至 GitHub 管理
將本地全域 / 專案內 Agent Skills 集中至 GitHub 管理
npx skills add judragon003/antigravity-agent-skills將本地全域 / 專案內 Agent Skills 集中至 GitHub 管理
The capability marketplace for AI agents. Skills + knowledge packs, billed per-call in USDC on Base, with on-chain reputation.
Synapse: Enterprise-grade Agentic RAG system powered by Google Gemini 3. Features self-healing retrieval (CRAG), adaptive routing, hybrid search, and multi-layer security guards for high-accuracy, production-ready AI.
Agent skill repository for Cai-Seven/ai-agent-skill-codeql-demo.
Draft, audit, or revise point-by-point reviewer response letters for Nature-family manuscript revisions. Use when the user provides reviewer comments, editor decision letters, revision notes, response drafts, or asks how to respond to major/minor revision requests, rebuttal letters, response to reviewers, peer-review reports, 审稿意见回复, 逐点回复, 修回信, 大修回复, 小修回复, or 如何回复 reviewer. Also trigger on general peer-review response needs during academic writing/revision even without the word "Nature", such as replying to reviewers for any journal, writing a rebuttal/response letter, handling revision comments, and Chinese phrasings like 回复审稿人、审稿回复、返修、 修改稿回复、写rebuttal、回应审稿意见、应对审稿.
End-to-end agentic research workbench. Turns a topic into a venue-ready manuscript via cross-host orchestration (Claude Code, Codex CLI, Gemini CLI, Antigravity). 17 specialized subagents, Source-Grounded Claim Architecture (SGCA), 23 publisher templates, 7 first-class languages.
NexusMCP is a modern Python framework for building MCP-native AI agents, reusable skills, and secure tool-driven workflows with clean orchestration, observability, and extensibility. It is based on the Model Context Protocol, which provides a standardized way for LLM applications to connect to external tools and data sources.