太美团队的 Cursor 插件市场,包含一组内部插件。
.cursor-plugin/marketplace.json: 市场清单与插件注册表plugins/<plugin-name>/.cursor-plugin/plugin.json: 各插件元数据plugins/<plugin-name>/rules: 规则文件(.mdc)plugins/<plugin-name>/skills: 技能目录,包含 SKILL.mdplugins/<plugin-name>/agents: 子代理定义plugins/<plugin-name>/mcp.json: 各插件的 MCP 服务器配置运行:
node scripts/validate-template.mjs
该脚本会检查市场路径、插件清单,以及规则/技能/代理/命令文件中的必填 frontmatter。
.cursor-plugin/plugin.json.cursor-plugin/marketplace.json 中的条目对应实际的插件目录node scripts/validate-template.mjs 通过Based on adoption, maintenance, documentation, and repository signals. Not a security audit or endorsement.
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AI 辅助技术设计全生命周期:需求分析、原型评审、PRD 排雷、图表生成、表结构提取、设计评审
npx claudepluginhub taimei-1024/cursor-plugins --plugin confluence-editorBuild and maintain an LLM-curated personal knowledge base in your project — Andrej Karpathy's LLM Wiki pattern, designed to scale to thousands of pages without becoming a context bottleneck. Now with an optional compiled graph layer for typed, provenance-backed relationships.
Claude + Obsidian knowledge companion. Sets up a persistent, compounding wiki vault (Karpathy's LLM Wiki pattern). v1.7 "Compound Vault" + v1.8 methodology modes close 5 of 5 priority gaps from the May 2026 compass artifact. Ships: substrate alignment with kepano/obsidian-skills, default Obsidian CLI transport, hybrid retrieval (contextual prefix + BM25 + cosine rerank per Anthropic's Sept 2024 research), per-file advisory locking for multi-writer safety, pre-commit verifier agent, AND methodology modes (LYT / PARA / Zettelkasten / Generic) for first-class organizational support no other Claude+Obsidian competitor offers. v1.7.x audit closure: every BLOCKER + HIGH + MEDIUM + LOW finding from the v1.7.0 audit is CLOSED or DEFERRED-with-rationale. Optional DragonScale Memory extension (log folds, deterministic addresses, semantic tiling lint, boundary-first autoresearch).
Complete AI coding workflow system. Self-correcting memory + persistent FTS5-indexed research wikis + auto-research loop + multi-LLM council on a single SQLite store. 33 skills, 8 agents, 22 commands, 37 hook scripts across 24 events. Cross-agent via SkillKit.
Make your AI agent code with your project's architecture, rules, and decisions.
Upstash Context7 MCP server for up-to-date documentation lookup. Pull version-specific documentation and code examples directly from source repositories into your LLM context.
Connect to Atlassian products including Jira and Confluence. Search and create issues, access documentation, manage sprints, and integrate your development workflow with Atlassian's collaboration tools.