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Alternatives

Products that do what Agent Architect Skill for building agentic systems does

I built a skill for building agents that helped me ship agentic products within days that otherwise took several weeks and broke often in production. It is inspired by gstack.

  1. 1
    Portals118

    AI Agent Builder Toolkit

    2025

  2. 2

    One-click AI skills for your business

    Feb 2026

  3. 3
    Contral134

    The agent which teaches while you build

    May 2026

  4. 4

    Build AI agents by describing your tasks

    2025

  5. 5

    Autonomous AI that builds, writes, and ships for you.

    Dec 2025

  6. 6
    Contral154

    The agentic IDE which teaches while you build.

    Mar 2026

  7. 7
    Asteroid166

    Build Browser, Linux and Windows AI agents in seconds

    May 2026 · asteroid.ai

  8. 8

    Plan and build at lightning speed with AI agents in Shortcut

    2025

  9. 9

    Task management for the age of agents

    Mar 2026

  10. 10

    Skills with 210k GitHub Data & Translate/Refine &Benchmark

    Mar 2026

  11. 11

    AI assembles a 3-10 agent team from one sentence

    May 2026 · myaiagents.agency

  12. 12AE

    I’ve spent the past 10 years working on AI in finance, with much of that time focused on building evaluation systems for production environments. As agents become more widely adopted, more software engineering and product people have start building them. But I’ve noticed that many teams are not yet fluent in systematic evaluation, or in the processes needed to keep agent quality high over time. For large organizations, that gap is rarely the bottleneck due to dedicated teams. But after speaking with a number of startups, it became clear that building strong, up-to-date evals is much harder…

    May 2026 · github.com

  13. 13AS
  14. 14

    Vibe-code custom-ready AI agents just by chatting

    Nov 2025

  15. 15

    Create AI automations & agents using prompts

    Jul 2026 · latenode.com

  16. 16

    The agent development environment to ship faster

    Apr 2026

  17. 17

    Build AI Agents. Run Them Anywhere.

    Feb 2026

  18. 18AP

    I'm Guy, the founder behind Snyk — now building Tessl, a package manager for agent skills. We’ve recently witnessed that most teams still treat skills as static artifacts: markdown files, created or copied from repo to repo. This approach offers a strong initial boost, but quickly creates debt: - Skills are duplicated, and updates never roll out. - Poor quality skills go unseen, misguiding agents instead of helping. - Skill knowledge grows stale, and don’t keep up with the systems and practices they describe. Without a way to evaluate skills, teams have no clear way to understand how good a…

    Feb 2026 · tessl.io

  19. 19BA

    I'm building a workspace for doing focus work while also managing constant multi-tasking and context-switching that's required in a lot of roles. Currently this is done by using a notes system where we can split-screen AI chat, an object-based data table system for tracking entities, as well as viewing other documents. We can define agents directly from documents by giving instructions in plain language and then defining the trigger conditions. This helps automate workflows directly in the place where we're reading and writing content. I'm continuing to experiment with instructions and…

    2025 · useportals.dev

  20. 20

    Build an autonomous AI pipeline using agentic engineering

    Jun 2026 · gammavibe.com

  21. 21

    The job board for engineers building agentic AI systems

    Apr 2026

  22. 22

    Give your AI agent expert skills before it builds

    May 2026

  23. 23

    One skill library for every AI coding agent

    Jul 2026 · github.com

  24. 24PO

    Hi, I’m Sam, the cofounder/CEO of Mastra, the Typescript agent framework. I wrote a book on building agents and wanted to share it with HN. The book is called Principles of Building AI Agents. Right now it has 34 chapters and 148 pages covering LLMs, prompting, agents, workflows, RAG, evals, multi-agent, tracing, deployment, MCP, tool use, and a few other topics. The backstory here is that last October when we started working on Mastra we knew very little about AI engineering, and had to learn as we were building. In January, we started going to local AI meetups. We met a lot of people…

    2025 · github.com

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