— · MIT
Convert documentation websites, GitHub repositories, and PDFs into Claude AI skills with automatic conflict detection
v0.18.0 · MIT
Agent Skills for end-to-end story writing in markdown, packaged as Codex and Claude Code plugins.
v1.7.38 · MIT
安装即自带mattpocock/skills v1.2.3的25个工程与效率技能,无需手动装技能。300亿token打造。本插件在原始技能之上提供10倍的开发效率。主力支持GitHub issue;Markdown为预览版;GitLab暂不支持。
v2.15.0 · MIT
公文全流程处理工具——基于 GB/T 9704《党政机关公文格式》 国家标准,面向公文写作、企事业单位材料编制场景,支持 格式检查与修复、内容优化(Word 原生修订+批注/差异对比版)、模板生成、Markdown 转公文、版头版记页码注入、事实核验、风格增强 等完整能力。原生支持 DeepSeek Harness (DSH) 技能系统,打包为可被 AI Agent 直接调用的 Skill,完全自包含,克隆即用。
v2.5.3 · MIT
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.
v0.6.0 · MIT
Procedural writing-style skills for AI agents: official frameworks (plain language, business writing, GOV.UK, AP style, STE-100, developer docs) + character voices. Agent Plugins 1.0.0, works in opencode, Claude Code, Codex.
v0.1.0 · MIT
A divide-and-conquer wiki of system-design skills for Claude Code — reason about scalable systems, don't memorize architectures.
— · MIT
使用 AI 编程助手为任意项目生成专业美化的 README 文件 Generate Professional & Beautified README Files For Any Project Using AI Assistants Skill.
— · MIT
Configure this repo for the engineering skills: set up its issue tracker, triage label vocabulary, and domain doc layout. Run once before first use of the other engineering skills.
v0.2.0 · MIT
Point Claude at any game. Skills, tools and the fal MCP that let Claude Code mod almost any PC game you own: recon, reverse engineering, fal-generated art/3D/audio, in-game testing, showcase videos.
v0.48.0 · AGPL-3.0
Professional cloud architecture diagrams with official AWS, Azure and GCP icons, from Terraform code or a plain JSON graph. MCP server + agent skill.
v0.7.0 · MIT
ISO 24495 Plain Language skills and plugin
— · MIT
EPLAN Electric P8 2026 2027 + AI: MCP servers, docs RAG, and a Claude Code skill for EPLAN scripting/API development. EEC PRO RAG
v0.3.19 · Apache-2.0
The dsh-plugin-guide knowledge base plus the dsh-plugin-dev CLI toolchain: official docs, Cordis primer, community deep-dives, and battle-tested pitfalls registered as an on-demand agent skill, with a scaffolder, static checker, and pack verifier for buil
v4.0.0 · Apache-2.0
A 267-skill research graph in pure markdown — 51 research operations built from 216 single-purpose steps, composed in any order with explicit backtracking. One npx install, no runtime, no MCP bindings. The AI is the researcher; you set the direction.
— · MIT
ARIS ⚔️ (Auto-Research-In-Sleep) — Lightweight Markdown-only skills for autonomous ML research: cross-model review loops, idea discovery, and experiment automation. No framework, no lock-in — works with Claude Code, Codex, OpenClaw, or any LLM agent.
v1.6.0 · MIT
Second Brain automation for Obsidian vaults — entity management, ingestion, compression, and sync via Claude Code skills
— · MIT
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.
v1.0.935 · UNLICENSED
TOGA Technology Team Claude Knowledge System — shared AI coding harness with skills, knowledge base CLI, and project installer for Claude Code.
v1.0.0 · MIT
AI-powered multi-agent system that automatically analyzes codebases and generates comprehensive documentation. Features GitLab integration, concurrent processing, and multiple LLM support for better code understanding and developer onboarding.
v1.2.1 · MIT
📖 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.
v0.20.0 · MIT
Local RAG MCP Server - Easy-to-setup document search with minimal configuration
v0.6.0 · MIT
DSH 演示文稿插件:HTML 与可编辑 PPTX、图文排版、原生图表、按页编辑撤销、质量检查与可选官方 PNG/PDF 渲染。
v1.0.1 · MIT
Evidence-first reading for AI agents — turn articles, books and PDFs into traceable claims, evidence, source locations and knowledge maps.