📖 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.

Complete reverse-skill (88 SKILL.md) as a DeepSeek Harness (dsh) Cordis plugin — reverse engineering, authorized pentesting and security research skill pack.

Clean, LLM-optimized Reddit MCP server. Browse posts, search content, analyze users. No fluff, just Reddit data.

Agentic RAG for local and self-hosted document search: hybrid retrieval, reranking and multimodal RAG on embedded LanceDB, with Docling parsing and an MCP server

MCP server for Apple Notes - read, search, create, edit, organize, and export notes on macOS via Claude and other AI assistants

📚 A zero-dependency, git-backed micro-lesson library for AI Agents to asynchronously share and search verified debugging experience. | https://misakanet.org

When the user wants to optimize content for AI search engines, get cited by LLMs, or appear in AI-generated answers. Also use when the user mentions 'AI SEO,' 'AEO,' 'GEO,' 'LLMO,' 'answer engine optimization,' 'generative engine optimization,' 'LLM optimization,' 'AI Overviews,' 'optimize for ChatG

Local-first A-share research workbench for DeepSeek Harness: market dashboards, watchlists, valuation, four investor agents, versioned reports, and continuous post-report chat.

Research that compiles.

DSH Codex UI — 为 DeepSeek Harness Web 提供 Codex 风格侧栏、工作区会话树、全局搜索和轮次导航 · A Codex-style sidebar, workspace session tree, global search, and turn navigation for DSH Web

Search a codebase or UI for places that don't animate but should, and reject everything that shouldn't. Read-only; it proposes motion with exact values, it does not implement it. Use when the user asks "what could be animated here?" or wants to "make this feel more alive". For fixing existing animat

DeepSeek Harness MCP Connector: connect servers, search tools across active connections, and troubleshoot discovery. Includes a continuously updated catalog; supports OAuth 2.0 PKCE, API keys, Streamable HTTP/stdio, and mcpServers JSON import.

Save 94% on AI coding tokens. Index your codebase, agents search instead of reading files. Works with Claude Code, Codex, Copilot, Cursor, Gemini CLI. Local MCP server, free, open source.

18 Google Maps tools and 3 Agent Skills for place search, routes, travel planning, and local SEO—via MCP or standalone CLI.

Guides and best practices for working with Lakebase Postgres on Neon: connections, pooled vs direct, schema migrations, branching, autoscaling, scale-to-zero, instant restore, read replicas, IP allow lists, logical replication, and Lakebase Search. Use when the work is an existing DATABASE_URL, SQL,

MCP server for local email archives — search and read Google Takeout .mbox exports and .eml files entirely on your machine. No OAuth, no IMAP, no cloud.

Local MCP server for Google Workspace (Gmail, Drive, Calendar, Sheets, Docs, Contacts, Tasks, Meet, Search Console, +Forms/Chat/Admin) across multiple accounts — OAuth-only, encrypted token storage, deny-by-default writes.

cotal.ai actions: product overview, site search, build log, feedback, Cloud waitlist, updates, calls

MCP server that gives Claude, ChatGPT and other MCP clients access to a Zotero library: search, citations, adding items, safe writes, semantic search, PDF passages and page images.

DeepSeek Harness session manager: delete, archive, move across workspaces, migrate presets, favorites, review-later, search, filter, sort, priority, tags, notes, and batch actions. | DSH 会话管理：删除、归档、跨工作区移动、预设迁移、收藏、待回看、搜索、筛选、排序、优先级、标签、备注及批量操作。

Source-linked CodeGraph exploration, ranked search, and static navigation for coding agents.

Visual plugin marketplace for DeepSeek Harness — browse, search and install community plugins

Interact with Obsidian vaults using the Obsidian CLI to read, create, search, and manage notes, tasks, properties, and more. Also supports plugin and theme development with commands to reload plugins, run JavaScript, capture errors, take screenshots, and inspect the DOM. Use when the user asks to in

Rigor Reproduce compatible skill slug for README-first deep learning repository reproduction. Use when the user wants an end-to-end, minimal-trustworthy flow that reads the repository first, selects the smallest documented inference or evaluation target, coordinates intake, setup, trusted execution,