15 skills found
humanlayer / humanlayerThe best way to get AI coding agents to solve hard problems in complex codebases.
TensorBlock / awesome-mcp-serversA comprehensive collection of Model Context Protocol (MCP) servers
Nikolai-Iakubovskii / app-paywall-pilotA framework for designing App Store-compliant subscription paywalls. 4 layers: AI skill (Claude/GPT/Cursor) + knowledge base (79 sourced benchmarks) + Python LTV tool + docs. 20-concept academic foundation (Kahneman + Layer 2).
datalayer / jupyter-mcp-server🪐 🔧 Model Context Protocol (MCP) Server for Jupyter.
HaseebKhalid1507 / VelociRAGLightning-fast RAG for AI agents. ONNX-powered, 4-layer fusion, MCP server. No PyTorch.
remete618 / widemem-aiNext-gen AI memory layer with importance scoring, temporal decay, hierarchical memory, and YMYL prioritization
FishWoWater / trellis_mcpModel Context Protocol(MCP) for TRELLIS(SOTA text-to-3d/image-to-3d) models
tninja / ai-code-interface.elUnified Emacs interface supporting OpenAI Codex, Antigravity CLI, Claude Code, GitHub Copilot CLI, Opencode, and more
strukto-ai / mirageThe World's First Unified Virtual Filesystem For AI Agents
Rath-Team / OpenRathAn open-source, PyTorch-like runtime for dynamic multi-agent and multi-session workflows.
Trompetilla / nvidia-image-genGenerate and edit images using NVIDIA FLUX models
EverMind-AI / EverOSOne portable memory layer for every AI agent: local-first, Markdown-native, user-owned, and self-evolving across apps, tools, and workflows.
Dimokat / Antigravity_Optimizer_MCPA local RAG-powered Model Context Protocol (MCP) server using Qdrant and FastEmbed to help AI coding agents navigate, understand, and optimize large codebases.
PDgit12 / knitbrainThe local-first brain for coding agents: project memory + workflow intelligence + lossless ~50% context savings. MCP server + LLM proxy, zero cloud.
kerbelp / metatronGit-native context layer for AI coding agents. Your team's real engineering decisions — patterns, pitfalls, conventions — live as reviewed markdown files in your repo; agents consult them before writing code and record what they learn.
