{"id":51632249,"url":"https://github.com/endorphin-ai/hasbrains-agent-kit","last_synced_at":"2026-07-13T09:03:07.918Z","repository":{"id":368973943,"uuid":"1192837653","full_name":"endorphin-ai/hasbrains-agent-kit","owner":"endorphin-ai","description":"The battle-tested Claude Code kit behind HasBrainsAI — agent skills, subagents \u0026 slash commands for production multi-agent systems. 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Every piece of this kit is used daily to ship real agent pipelines, not generated in bulk.\n\nWorks with **Claude Code**, and skills follow the portable [Agent Skills standard](https://code.claude.com/docs/en/skills) used by Codex, Cursor, and Gemini CLI.\n\n## Install (one command)\n\n```\n/plugin marketplace add endorphin-ai/hasbrains-agent-kit\n```\n\nThen install only what you need:\n\n```\n/plugin install agent-engineering@hasbrains-agent-kit\n/plugin install context-engineering@hasbrains-agent-kit\n/plugin install content-creation@hasbrains-agent-kit\n/plugin install teaching@hasbrains-agent-kit\n/plugin install web-dev@hasbrains-agent-kit\n```\n\n## Install a single skill\n\nDon't need a whole plugin? Every skill is a self-contained folder following the portable Agent Skills standard, so you can cherry-pick one with the [`skills` CLI](https://github.com/vercel-labs/skills):\n\n```\nnpx skills add endorphin-ai/hasbrains-agent-kit --full-depth\n```\n\nIt lists every skill in the kit and lets you pick the ones you want. To skip the picker, name the skill directly:\n\n```\nnpx skills add endorphin-ai/hasbrains-agent-kit --full-depth --skill \u003cskill-name\u003e\n```\n\nSkills install into the current project's `.claude/skills/` by default; add `-g` to install globally to `~/.claude/skills/`. This also works for Cursor, Codex, and other agents that support the skills standard.\n\nOr skip tooling entirely — a skill is just a folder:\n\n```\ncp -r teaching/skills/\u003cskill-name\u003e ~/.claude/skills/\n```\n\n## What's inside\n\n| Plugin | What it does |\n|---|---|\n| [`agent-engineering`](agent-engineering) | Engineering discipline for AI agent systems. Four always-on principles, test-driven development, verification-before-completion, system-architecture playbooks, docs/-native project management. |\n| [`context-engineering`](context-engineering) | Context engineering for AI agents. AI-optimized second-brain skills, durable pipeline state for multi-agent handoffs, expert prompt building. |\n| [`content-creation`](content-creation) | Content engine for technical creators. Social posts and video scripts engineered around named copywriting frameworks, scroll-stopping hooks, and retention mechanics. |\n| [`teaching`](teaching) | Interactive AI teacher. `/repo-to-course` turns any codebase into a structured tutorial course — markdown, GitHub Pages site, or interactive HTML. |\n| [`web-dev`](web-dev) | Multi-agent web dev pipeline. The designer ↔ frontend contract: freeze approved mockups into a canonical oracle, port them 1:1 on any stack, verify with screenshot-based design-diff gates. |\n\n## Using the prompts\n\nRaw prompt library lives in [`prompts/`](prompts) — standalone prompts that don't map to a skill or command. Prompts aren't installed, they're plain markdown; two ways to use one:\n\n- **Paste it** — copy the file's content straight into your conversation.\n- **Make it a slash command** — copy the file into `~/.claude/commands/` (or your project's `.claude/commands/`) and it becomes invocable by filename, e.g. `my-prompt.md` → `/my-prompt`.\n\n## Design principles\n\nThis kit follows a strict separation of concerns:\n\n- **Agents** encode behavior and procedure only\n- **Skills** hold reusable know-how\n- **Project-specific facts** (stack, paths, commands, naming) stay in your project's own config — never baked into agents or skills\n\nThat's why these plugins drop into any codebase without modification.\n\n## Why trust this\n\nSkills execute code in your environment — you should only install from sources you trust. This kit is maintained by [Andrew Novykov](https://github.com/andrewnovykov), builder behind HasBrainsAI. Every skill and agent here is used in production on real projects, and most have a walkthrough video on the channel showing exactly how they work and what's inside.\n\n## Watch it in action\n\nDeep dives on the architecture behind this kit — multi-agent orchestration, spec-driven development, agentic engineering for senior engineers:\n\n**[youtube.com/@HasBrainsAI](https://www.youtube.com/@HasBrainsAI)**\n\n## License\n\nMIT — see [LICENSE](LICENSE).\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fendorphin-ai%2Fhasbrains-agent-kit","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fendorphin-ai%2Fhasbrains-agent-kit","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fendorphin-ai%2Fhasbrains-agent-kit/lists"}