BrandDocs is a set of agent skills that learn your existing Word, PowerPoint and Excel templates and generate new on-brand documents from them. Unlike generic AI document generators, it preserves brand, structure, styles and formulas by construction. Built for Claude Code, Codex and compatible AI agents.

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

Turn your local Claude Code / Codex CLI history into a shareable, anonymized AI-Native developer profile + viral SVG poster. A skill, not a script — 100% local & read-only.

A portable memory protocol for AI agents — load it as standing rules; a curation discipline + reference spec + optional cap hook.

900+ pure-markdown skills for autonomous AI research, organized as 9 freely-composable packages over a 4-layer hierarchy (Campaign → Strategy → Tactic → SOP). Non-linear orchestration with backtracking, 6 MCP integrations. The AI is the researcher — you set the direction.

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

Installable DSH bundle: the dsh-plugin-guide plugin-development knowledge base as an on-demand agent skill. Official docs archive (EN/ZH), Cordis primer, 114-repo community archive, 1654 archived Discussions, 20+ battle-tested pitfalls.

A divide-and-conquer wiki of system-design skills for Claude Code — reason about scalable systems, don't memorize architectures.

Configurable DSH web-surface plugin: wallpaper & frosted-glass themes, accent colors, custom keyboard shortcuts, app-usage panel, history strip, message Markdown — zero shell edits.

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

Open-source LLM knowledge platform: turn raw documents into a queryable RAG, an autonomous reasoning agent, and a self-maintaining Wiki.

Enables AI assistants to control Adobe InDesign on Windows via the Model Context Protocol, allowing document inspection, text and style editing, and exports to formats like PDF, images, and EPUB.

One format, two readers. People and AI agents now co-write the same document. Legible for people; addressable, verifiable, and versioned for machines. GEML is plain text — organized by one typed block for everything, remembered by a .gemlhistory sidecar.

Publish HTML, Markdown, and multi-file sites as shareable URLs instantly via MCP.

A searchable knowledge base your assistant reads and writes.