19 skills found
parcadei / Continuous-Claude-v3Context management for Claude Code. Hooks maintain state via ledgers and handoffs. MCP execution without context pollution. Agent orchestration with isolated context windows.
Czarnak / totally-integrated-claudeA Claude Code plugin for Siemens TIA Portal engineering automation.
strukto-ai / mirageThe World's First Unified Virtual Filesystem For AI Agents
gotalab / cc-sddTurn approved specs into long-running autonomous implementation. A minimal, adaptable SDD harness with Agent Skills for Claude Code, Codex, Cursor, Copilot, Windsurf, OpenCode, Gemini CLI, and Antigravity.
psyborg27 / PECSPersistent Engineering Continuity System
Rath-Team / OpenRathAn open-source, PyTorch-like runtime for dynamic multi-agent and multi-session workflows.
thedotmack / claude-memPersistent Context Across Sessions for Every Agent – Captures everything your agent does during sessions, compresses it with AI, and injects relevant context back into future sessions. Works with Claude Code, OpenClaw, Codex, Gemini, Hermes, Copilot, OpenCode + More
bjwanneng / veriflow-ccVeriFlow-CC: A Claude Code-driven RTL design pipeline. Automates Chip-on-Chat from architecture to synthesis (iVerilog/Yosys) using a stateful, zero-dependency LLM orchestration skill. Features sub-agent nesting for code gen and behavioral-driven verification.
OpenBMB / UltraRAGA Low-Code MCP Framework for Building Complex and Innovative RAG Pipelines
slysik / tac-7end-to-end with out-loop Agentic systems.
ellmos-ai / open-computeModel-agnostic computer-use core: one agent loop for Claude, OpenAI CUA, and a mock backend — normalized coordinates, canonical action schema, central safety gate.
omermaksutii / mnemoPersistent memory for Claude Code. Your AI never starts from scratch again.
akudo7 / kudosflowVisual workflow editor for building node-based AI agent workflows with drag-and-drop interface, A2A integration, and real-time execution
fmcato / octave-mcpMCP (Model Context Protocol) server for GNU Octave
AI-QL / tuuiA desktop MCP client designed as a tool unitary utility integration, accelerating AI adoption through the Model Context Protocol (MCP) and enabling cross-vendor LLM API orchestration.
datawhalechina / easy-vibe💻 The first course for AI-native product builders.
context-space / context-spaceUltimate Context Engineering Infrastructure, starting from MCPs and Integrations
tody-agent / cm-continuityWorking memory protocol — maintains context across sessions via CONTINUITY.md. Inspired by Loki Mode. Read at turn start, update at turn end. Captures mistakes and learnings to prevent repeating errors.
jmanhype / speckitSpecification-Driven Development with Beads Integration - A comprehensive workflow system for AI-assisted software development
