Compound Engineering: 33-Skill Plugin for AI Coding Agents

RepositoryEveryInc/compound-engineering-pluginTool

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.

Key points

  1. Organises development work around a five-step loop: brainstorm, plan, build, review, and capture learnings.
  2. Provides 33 specialized agent skills to ensure subsequent tasks benefit from previously documented context.
  3. Compatible with 14 agent hosts, including Claude Code, Cursor, Codex (desktop app and CLI), and Grok Bot.
  4. Maintained under the MIT licence by Kieran Klaassen, Trevin Chow, and the open-source community.

Why it matters

AI coding assistants often lack persistent context across distinct tasks, leading to repeated mistakes or redundant work. By integrating knowledge capture directly into the agent workflow, this tool compounds engineering efficiency over time.

Analysis

The project tackles the problem of ephemeral context in agentic software engineering. Built primarily in TypeScript, it integrates with various agent host plugin architectures (such as Claude Code and Cursor marketplaces) using local prompt assets for reviewer and research behaviors. With nearly 25,000 GitHub stars, over 2,000 forks, active CI, and broad ecosystem integration, the project exhibits a high degree of maturity and is suited for software engineers looking to standardise agentic development cycles.

Mentioned links

Found in

Summary generated by AI (Gemini 3.8 Flash, 27 September 2026). It may contain errors – the original source is authoritative.

Related entries

Similar in content, found by the AI search.

  • 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

    AI & LLMs· Tool

  • Repository:Bennyoooo/Airbot

    Airbot: Self-Evolving Skills for Coding Agents

    Airbot (distributed via the skillmaxxing CLI) hooks into coding agents such as Claude Code and Codex to automatically capture reusable workflows and repo nuances as evolving skills without manual intervention.

    22starsTypeScript

    AI & LLMs· Tool

  • Repository:rohitg00/agentmemory

    agentmemory: Persistent Memory for AI Coding Agents

    agentmemory is an open-source TypeScript solution providing persistent memory for coding agents and MCP clients. Powered by the iii engine, it builds on Andrej Karpathy's LLM Wiki pattern by introducing confidence scoring, lifecycle management, knowledge graphs, and hybrid search.

    28kstarsTypeScript

    AI & LLMs· Tool

  • Repository:humanlayer/skills

    HumanLayer Skills: Modular Extensions for Claude Code

    HumanLayer's 'skills' repository delivers a curated set of modular extensions for Claude Code, focusing on configuration tuning, React type refinements, and automated agent loops.

    1.4kstarsTypeScript

    AI & LLMs· Tool

Back to the knowledge base

Let's talk about your project

Get in touch

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.