Second Brain automation for Obsidian vaults — entity management, ingestion, compression, and sync via Claude Code skills

DeepSeek Flow — Markdown-first visual workflow plugin for DeepSeek Harness with executable Boolean gate semantics, two-way canvas sync, and AI review/optimization.

Evidence-first deep reading for AI agents — trace claims, evidence, confidence and knowledge maps across articles, books and PDFs.

📖 Cross-agent research paper toolkit for Claude Code, Codex, OpenCode, and DeepSeek Harness—quick summaries, deep study materials, code demos, and a local web viewer.

🌶️ A product-thinking layer for vibe coders — grills a raw idea into build-ready docs through 11 expert personas. Claude Code plugin.

Claude Code plugin that generates individualized knowledge systems from conversation. You describe how you think and work, have a conversation and get a complete second brain as markdown files you own.

Repository-native protocol and local MCP server for Work, Docs, History and durable project Memory.

A market-driven Product Manager copilot (Agent Skills + Claude Code plugin) based on the Pragmatic Framework — guides PMs from idea to launch and produces a client-ready artifact (Markdown or .docx) at every stage.

电子发票整理与报销准备工具：从邮箱批量收集 PDF/OFD/XML 发票，OCR 识别、分类归档并生成 Excel 汇总；提供 Windows/macOS 桌面版与 DSH 插件。

Claude Code plugin to generate comprehensive Product Requirements Documents (PRDs)

Governance standard and reference toolset for LLM-maintained knowledge corpora

MCP server to interact with LogSeq via its Local HTTP API - enabling AI assistants like Claude to seamlessly read, write, and manage your LogSeq graph.

Production-ready Claude Code 2.0 setup for autonomous development

MCP Documentation Server - Bridge the AI Knowledge Gap. ✨ Features: Document management • Gemini integration • AI-powered semantic search • File uploads • Smart chunking • Multilingual support • Zero-setup 🎯 Perfect for: New frameworks • API docs • Internal guides

Cherry Studio-style knowledge base system for DeepSeek Harness (DSH): bases, documents, chunking, embeddings (OpenAI-compatible / Ollama / local / lexical fallback), retrieval, model-facing tools, and a browser management panel