v0.1.5 · Apache-2.0
一个面向 DeepSeek Harness 的统一能力管理插件,为 Tools/Skills 提供常驻、按需、禁用三档暴露策略,以减少上下文占用并支持运行时动态发现与执行。
v0.5.0-alpha.4 · MIT
Automatically turn successful DeepSeek Harness sessions into reusable, reviewable Agent Skills.
v1.7.3 · MIT
Backend for AI coding agents on CloudBase — database, auth, functions via Plugin, Skills & MCP.
— · Apache-2.0
Outline-Driven Development for Claude Code - 46 agents, 25+ skills, diagram-first methodology, AST-based editing, atomic commits.
— · MIT
Skills for issue-driven software development, from issue to change request.
— · MIT
Portable skills, agents, hooks, and Pi extensions for Claude Code, Codex CLI, Copilot, Cursor, Grok, and Pi.
— · MIT
AI-powered development tools. 18 agents, 19 commands, 29 skills, 1 hook, 1 MCP server for code review, research, design, and workflow automation.
— · MIT
Claude Skill for Backblaze B2 Cloud Storage management from the terminal. Manage buckets, list and search files, audit storage usage, detect stale or large objects, review security posture, and safely clean up data using natural language. Built on the Agent Skills specification and compatible with Claude Code and other skills-based agents.
v1.90.0 · Apache-2.0
Claude Code plugin & Agent Skills for AI-native development: codebase readiness scoring (/assess), Six Thinking Hats deliberation (/huddle), AI-slop removal (/deslop), skill hardening (/skill-forge), and more.
v1.0.2 · MIT
AI skills for Power Apps Canvas Apps - Generate paste-ready Power Apps Canvas App YAML from screenshots, mockups, or text descriptions
v1.0.0 · MIT
One capabilities.yaml wires skills, tools, rules, sub-agents, MCP servers, and plugins into Cursor, Claude Code, Codex, Windsurf, GitHub Copilot, and 30+ other AI coding agents
v2.0.0 · no license
AI agent skills for Sealos — deploy any project, provision databases, object storage & more with one command. Works with Claude Code, Gemini CLI, Codex.
v0.18.0 · SEE LICENSE IN LICENSE
Enterprise-grade, local-first Agent Workbench for people and agent teams. A unified multi-engine workspace for Codex Harness, DeepSeek Harness, and OpenCode, with unified plugins and Skills, multi-agent projects and tasks, and editable code, documents, presentations, design, and video.
v0.29.1 · MIT
中文网文写作工具包 · Chinese web-novel writing toolkit (23 skills) — a Claude Code plugin, also works in ChatGPT / DeepSeek / Gemini
— · 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.
— · MIT
Convert documentation websites, GitHub repositories, and PDFs into Claude AI skills with automatic conflict detection
v2026.9.24 · MIT
Reusable project context and specialist workflows for the AI tools you already use. AIWG places agents, skills, commands, and rules in provider-readable locations, with optional utilities for artifact memory, workflow orchestration, recovery, and discover
— · 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.
v1.0.0 · MIT
MetalBear Skills for our users
v0.9.1 · Apache-2.0
One config to rule them all — sync MCP servers, skills and AGENTS.md across 18 AI coding tools, and package them as Agent Plugins.
v1.4.1 · MIT
Claude Code experience for the pi coding agent: reads your .claude config (rules, commands, skills, hooks, output styles, MCP servers, agents) and adds todo, checkpoints, memory, web, subagents, and goals
— · AGPL-3.0-only
Create, verify, sign, publish, and run dossiers — the open standard for versioned, signed agent skills. Host them anywhere and verify who wrote them. The dossier ⇄ Claude Code skill bridge (install-skill / skill-export).
— · Apache-2.0
Code, Build and Evaluate agents - excellent Model and Skills/MCP/ACP/A2A Support
— · MIT
Context engineering for AI agents. ~80% fewer tokens. Fix tool overload. Skills and memory with in-process BM25 and semantic retrieval. Progressive Disclosure. No vector DB.