16 skills found
graphprotocol / mdcMonorepo for various tools used by subgraph developers.
burugo / tddA centralized reverse-proxy platform for MCP servers — manage, group, and export as Skills from a single endpoint.
share-skills / piPI 智行合一。触发：$pi/编程/开发/dev/code/代码/实现/架构/API/重构/调试/debug/bug/报错/异常/崩溃/超时/性能/优化/测试/test/编译/compile/git/make/发布/验证/审查/review/CR/产品/需求/运营/增长/创意/设计/协作/团队/沟通/交互/陪伴/情感，或深度/deep/失败2+次/反复失败/打转/卡住/言退/再试试/换个参数/算了
fengkx / lspBeancount Language Server Protocol (LSP) implementation run on electron and browser (VSCode for Web / github.dev)
ai-evals-course / uiRules for implementing common UI elements in MonsterUI idiomatically
Building-With-Agents / analytics-guardrailsfull-stack next.js web app serving the watech coalition
vsashyn / mcpUse the `mcp_perplexity-ask_perplexity_search` tools to answer questions. You should use this instead of the `web_search` tool because it is a lot more accurate.
tyrchen / styleMotherDuck-inspired front-end style guardrails
queen-of-code / aidlcAIDLC tutorial repo — use phase skills /plan /build /review /ship; ground process in docs/AIDLC.md; library skills from AI-DLC (vendored or plugin).
staticroostermedia-arch / engramGeometric agent memory for Agents: 8-tool lean contract, harness injection at wake, session handoff. 79 MCP tools. Not a vector DB. Rust + MCP.
ysyecust / common-performanceComplete collection of Claude Code configs for C++20 HPC development - agents, skills, hooks, commands, and rules
DYAI2025 / nexNex provides your AI agent with real-time organizational knowledge — contacts, deals, meetings, emails, notes, insights, patterns, and playbooks — via MCP tools. Context is proactively injected into your conversation, so relevant knowledge surfaces automatically even when you don't ask for it.
ZenRay / styleMotherDuck-inspired front-end style guardrails
rokolslab / 98_documentationDjango app for importing, monitoring, and analyzing print events with dashboards, file watchers, and Docker deployment.
devopstales / skillgrid-gitnexusThe agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for ai-agents.
goldenhomeshare / techContextThis document explains the technologies we chose for the Golden HomeShare Marketplace in simple terms. Each section covers a part of the project’s setup, why we picked certain tools, and how they work together to deliver a smooth, secure, and reliable experience.
