11 skills found
datalayer / jupyter-mcp-server🪐 🔧 Model Context Protocol (MCP) Server for Jupyter.
AVIDS2 / memorixOpen-source cross-agent memory layer for coding agents via MCP. Compatible with Claude Code, Codex, Cursor, Windsurf, Gemini CLI, Antigravity, OpenClaw, Hermes Agent, Oh-my-Pi, Pi, Copilot, Kiro, OpenCode, and Trae.
opslane / opslaneVerification Layer for Claude Code
depwire / depwireThe missing context layer for AI-assisted refactoring
radekamirko / C.R.I.S.PCRISP — The missing layer between vibe coding and building something people actually want.
gaopengbin / openlayers-mcpAI-powered OpenLayers map control via Model Context Protocol (MCP). 30+ tools for view, layer, feature, overlay, interaction, style, and draw operations.
datalayer / langchain-mcp-client🦜🔗 LangChain Model Context Protocol (MCP) Client
majiayu000 / ai-agentsProduction-grade AI agent patterns with MCP integration, agentic RAG, handoff orchestration, multi-layer guardrails, and observability (modern best practices)
tody-agent / cm-skill-indexProgressive Disclosure skill index — efficient skill loading in 3 layers. Layer 1 (index, ~100 tokens) always loaded. Layer 2 (summary, ~300 tokens) loaded on context need. Layer 3 (full SKILL.md) loaded on execution only.
cuioss / phase-5-executeAn orchestration layer for AI coding assistants (currently Claude Code) that enforces consistency, reliability, and more predictable outputs.
FISCFED9 / lightning-channel-factoriesTechnical reference on Lightning Network channel factories, multi-party channels, LSP architectures, and Bitcoin Layer 2 scaling without soft forks. Covers Decker-Wattenhofer, timeout trees, MuSig2 key aggregation, HTLC/PTLC forwarding, and watchtower breach detection.
