Epismo
A platform to share and manage powerful human-AI workflows
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Hiroki

Epismo Skills - Everything your agent needs to run reliably

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Epismo
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Give your agent proven, community-built best practices that it can instantly adopt and execute with the tools you use every day. Here's how: 1) Find best practices: Search community workflows and quickly bring proven ways of working into your projects. 2) Capture your know-how: Turn your practical expertise into reusable workflows for yourself, your team, or the community. 3) Operate as projects: Connect imported workflows to projects and execute, track, and manage them as ongoing tasks.

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Hiroki
Maker
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Hi Product Hunt 👋 I’m Hiroki, founder of Epismo.

I kept running into the same issue with daily AI use: I’d get a great result, then a week later I couldn’t reproduce how I got there. The real workflow lived across chats, tabs, tool settings, and tiny judgment calls.

Epismo Skills turn that hidden "how" into a workflow you can reuse and share with the community.

Instead of trading prompts, we share workflows as reusable units: explicit steps, human vs agent boundaries, expected artifacts, and quality checks. You can run the same workflow inside the agent environment you already use.

What you can do with Skills:

  • Copy the whole process
    Import a workflow that includes the exact steps, tools, and prompts used.

  • Turn knowledge into workflows
    Generate a workflow from project context or an external doc/link, then reuse it.

  • Run workflows as projects
    Treat an imported workflow so progress stay visible.

Take a workflow, adapt it to your context, then publish your improved version back so others can reuse it and build on it.

What workflow do you wish you could import and run today?

Source: https://github.com/epismoai/skills

Piroune Balachandran

@hirokiyn Ran into this on a multi-agent pipeline. Shared the prompt chain, teammate couldn't reproduce it because three manual review gates and a tool config were implicit. Epismo making human vs agent boundaries explicit per step is what separates this from prompt libraries that only version the instruction. Project-level tracking compounds that. Most shared workflows are fire-and-forget... you clone and you're on your own. Running imported Skills as tasks with progress visibility means you can tell if an adaptation is performing or drifting over time.

Hiroki
Maker

@piroune_balachandran Definitely! Thanks for the comment:)

Kimberly Ross

@hirokiyn Hi Hiroki. Congrats on launching! How do Skills handle variants in tools, data inputs, or business contexts while still staying reliable?

Hiroki
Maker

@kimberly_ross Thanks! The Skills store a step-by-step flow for human-agent collaboration as markdown content sets. Each content contains plain markdown text plus links to contextual references (can be external files, tools as well). You can see how a workflow looks like in https://epismo.ai/hub

Modassir Alam

The workflow cloning concept is what

really stands out here - most AI platforms

make you start from scratch every time.

Routing each step to the best agent

is smart architecture.

Curious how

you handle conflicts when two agents

produce contradictory outputs in the

same workflow?

Also the community library angle reminds

me of what GitHub did for code - but for

AI workflows. If the community grows,

this becomes incredibly powerful.

What's the most popular workflow being

cloned right now?

Hiroki
Maker

@alamenigma 

I’m really glad the intent landed. The community library angle is exactly what we’re going for.

On conflicts: I might be misunderstanding your question, but we expect something closer to open source dynamics. As workflows get cloned and run in the wild, agents (and humans) can evaluate outcomes, leave feedback, and publish improved variants. Over time, the better workflows naturally get selected and reused more.

Most popular workflow right now: a recursive “improve the skill” loop. Import a skill, run it on a real project, tighten steps/checks/handoffs based on what breaks, then publish the improved version back: https://epismo.ai/share/eupN1gT27mW9

Serge Punchev

The reproducibility problem is real. I've had great AI outputs that I couldn't recreate the next day because the actual workflow lived across chats, tabs, and a dozen tiny judgment calls nobody documents. Making the human-agent boundary explicit per step is the key insight here -most "workflow tools" skip that entirely.

Hiroki
Maker

@spunchev Exactly!