仓库/Skill 库

使用这款专为架构设计与引擎特定任务优化的专用 LLM，提升游戏开发工作流效率。Optimize game development workflows with this specialized large language model designed for architecture design and engine-specific tasks.

为 AI 编程 Agent 强制执行“一行一句”规则。在编辑时强制语义换行（SemBr），使代码注释与 Markdown 的散文编辑保持单行 diff。兼容 Claude Code、Codex CLI、opencode 等。One-sentence-per-line enforcement for AI coding agents. Enforce semantic line breaks (SemBr) in code comments and Markdown at edit time, so prose edits stay one-line diffs. Works with Claude Code, Codex CLI, opencode, and more.

拥有持久记忆的终端 AI 角色扮演客户端 —— 本地 SQLite、语义召回以及每次调用的成本统计。兼容 OpenAI，已在 OpenRouter 上测试。A terminal AI roleplay client with a memory that does not forget — local SQLite, semantic recall, and what every call cost. OpenAI-compatible, tested on OpenRouter.

可衡量的 Agent 分诊：判断一次编辑是否需要人工，还是可由 AI 处理。我们衡量 Agent 下方的图能否触达守住变更的测试（7 个仓库合并值 0.42），并发布 fail-closed 闸门，将未经证明的映射路由到人工核验。CLI · MCP · SARIF · 内置于 HydraDB。Agent triage, measured: does this edit need a human, or can the AI handle it? We measure whether the graph under the agent can reach the tests that guard a change (0.42 pooled, 7 repos) and ship the fail-closed gate that routes unproven maps to human verification. CLI · MCP · SARIF · in-engine on HydraDB.

基于 LLM 的 AI 研究 Agent：检索 arXiv、生成假设，以及一个能够拒绝自身输出的 Critic Agent。支持通过 Ollama 在本地运行，或使用 Anthropic API。LLM-backed AI research agent: arXiv retrieval, hypothesis generation, and a Critic agent that can reject its own output. Runs locally with Ollama or via the Anthropic API.

Space Frontiers 是一家怀俄明州公司，其搜索与 AI 产品 Machine Library（前身为 Space Frontiers search，于 2026-09-12 迁至 machinelibrary.ai）是一个全文检索 API 与托管 MCP server，覆盖约 29 亿条记录的语料库：包括同行评审论文（CrossRef、PubMed、arXiv）、书籍、USPTO 专利、Wikipedia……Space Frontiers is a Wyoming corporation whose search and AI product, Machine Library (formerly Space Frontiers search, moved to machinelibrary.ai on 2026-09-12), is a full-text retrieval API and hosted MCP server over a corpus of roughly 2.9 billion records: peer-reviewed papers (CrossRef, PubMed, arXiv), books, USPTO patents, Wikipedia…

基于书签或主题推荐 arXiv 论文的 AI AgentAI agent that recommends arXiv papers based on bookmarks or topics.

通过动手实践的 Jupyter notebook 学习 agentic AI 概念，涵盖 LangGraph、CrewAI 与 OpenAI Agents 工作流。Learn agentic AI concepts through hands-on Jupyter notebooks featuring LangGraph, CrewAI, and OpenAI Agents workflows.

10 门 AIMarket 学院实战课程 —— 编排、oracles、MCP 安全、Agent 经济（en/ru/es/fr/zh）。10 hands-on AIMarket academy courses — orchestration, oracles, MCP security, agent economy (en/ru/es/fr/zh).

面向文档溯源 QA Agent 的生产级 Harness：检索、起草、自评、重写、升级循环，配套 LLM-as-judge 评测套件、分级权限工具、对破坏性操作的人工审批，以及一键容器化部署。A production-grade harness for a document-grounded QA agent: a retrieve, draft, self-score, re-draft, escalate loop with an LLM-as-judge eval suite, permission-tiered tools, human-in-the-loop approval for destructive actions, and a one-command container deploy.

面向 agentic AI 创业领域的战略情报平台——FastAPI + SQLite + 原生 JS SPA，内置专业 LLM agent 集群、咨询级行业档案、业务线领域矩阵以及 RAG copilot。Strategic intelligence platform for the agentic-AI startup landscape — FastAPI + SQLite + vanilla-JS SPA with a specialist LLM agent fleet, consulting-grade industry dossiers, a line-of-business domain matrix, and a RAG copilot.

26 个开源 Agent Plugins 1.0 包，统一 CLI 支持 Codex、ChatGPT、Cursor、GitHub Copilot、VS Code 和 Kiro。Skills + MCP，客户端定向交付，Apache 2.0。26 open-source Agent Plugins 1.0 packages with one CLI for Codex, ChatGPT, Cursor, GitHub Copilot, VS Code and Kiro. Skills + MCP, client-specific delivery, Apache 2.0.

🩺 为嵌入式医疗设备提供安全、合规级别的 AI 本地化方案，具备术语库控制与屏幕适配校验能力。🩺 Deliver safe, compliance-grade AI localization for embedded medical devices with glossary control and screen-fit validation.

📊 基于 Claude Skills 利用 XML 操作轻松创建和编辑 PowerPoint 演示文稿，实现精简的内容管理。📊 Create and edit PowerPoint presentations effortlessly with Claude Skills using XML manipulation for streamlined content management.

面向 AI coding agents 的 token 预算 context pack，基于编译器解析的 Kotlin 结构（Analysis API/PSI）构建，并附带衡量其是否优于 chunk RAG 的 benchmark。Token-budgeted context packs for AI coding agents, built from compiler-resolved Kotlin structure (Analysis API/PSI) — with the benchmark that measures whether it beats chunk RAG