Repository:davidondrej/skills
davidondrej/skills: Reusable Skills for AI Agents
An open-source repository by David Ondrej containing modular instructions and workflows for AI coding, research, and orchestration agents.
3.9kstarsPython
orchflows: Reusable AI Agent Workflows Defined in Markdown
RepositoryDanMcInerney/orchflowsTool
orchflows is a Python utility for designing and orchestrating reusable multi-agent workflows within subagent-capable environments like Claude Code or Codex.
Key points
- Requires Python 3.11+ and an agent host supporting native subagents (e.g., Claude Code or Codex).
- orch-build-workflow creates, tests, and saves reusable workflows as editable Markdown skills.
- orch-dynamic-workflow constructs and executes one-off multi-agent processes on the fly for specific tasks.
- Separates task-specific prompts from reusable orchestration logic and modular guidance files.
Why it matters
Complex agentic tasks often require multi-stage processes such as drafting, parallel exploration, peer review, and revision. orchflows prevents users from repeatedly explaining these patterns in fresh agent sessions.
Analysis
Rather than introducing a heavy agent framework, orchflows delegates execution to the host environment and uses plain Markdown to define skills, stop conditions, and review criteria. With around 120 stars, the repository is an early-stage, experimental project, but it offers a practical approach to workflow persistence in CLI-driven agent environments.
Mentioned links
Found in
Summary generated by AI (Gemini 3.8 Flash, 15 October 2026). It may contain errors – the original source is authoritative.
Related entries
Similar in content, found by the AI search.
Repository:anthropics/skills
Anthropic Skills: Reference Repository and Specification for Claude Agent Skills
Anthropic provides a public repository containing example skills, templates, and specifications for Claude's Agent Skills standard. Skills package instructions, scripts, and resources inside folders with a central SKILL.md file to enable repeatable workflows ranging from document generation to technical testing.
174.3kstarsPython
Repository:Significant-Gravitas/AutoGPT
AutoGPT: Open-Source Platform for Building and Running Autonomous AI Agents
AutoGPT is a widely known open-source project designed to build, deploy, and run autonomous AI agents. Users can define end-to-end workflows via natural language prompts ('AutoPilot') or a visual builder, executing tasks on demand, on a schedule, or via triggers.
187.1kstarsPython
Repository:coleam00/skills
Cole's AI Skills: Modular Skill Files for Coding Agents
The GitHub repository 'coleam00/skills' provides a collection of 33 practical skills designed for AI coding agents such as Claude Code. Instead of maintaining a monolithic 2,000-line CLAUDE.md instruction file, each skill resides in a standalone folder with a SKILL.md file and is loaded on demand. The set revolves around a standard development cycle: prime, plan, implement, validate, review, commit, and PR.
482starsPython
Repository:mohitagw15856/pm-claude-skills
PM Skills: Agent Framework Collection for AI Assistants
PM Skills is an MIT-licensed repository providing over 1,100 structured agent skills in plain Markdown. It equips models across Claude, ChatGPT, Gemini, Cursor, and Codex with step-by-step frameworks for professional duties and critical life events.
1.3kstarsHTML
Repository:EveryInc/compound-engineering-plugin
Compound Engineering: 33-Skill Plugin for AI Coding Agents
Compound Engineering is an open-source plugin for AI coding agents designed to structure development workflows and systematically preserve learned context. It runs on 14 platforms, including Claude Code, Cursor, and Codex.
24.9kstarsTypeScript
Let's talk about your project
Locations
- Mattersburg
Johann Nepomuk Bergerstraße 7/2/14
7210 Mattersburg, Austria - Vienna
Ungargasse 64-66/3/404
1030 Wien, Austria
Parts of this content were created with the assistance of AI.