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Agent Skills

Most agents are powerful in demos, limited in practice.We give agents the skills to handle real work.

Give your agent proven, community-built skills. Let it execute with the tools you already use.

Everything your agent needs to run reliably and perform at its best

01

Find best practices
Search community workflows and quickly bring proven ways of working into your projects.

02

Capture your know-how
Turn your practical expertise into reusable workflows for yourself, your team, or the community.

03

Operate as projects
Connect imported workflows to projects and execute, track, and manage them as ongoing tasks.

Quick start

Ask your agent to set it up and you're ready to go.

Set up Epismo access and Skills from https://raw.githubusercontent.com/epismoai/skills/main/README.md. I can use MCP or CLI.

MCP server

Connect any MCP-compatible tool to your Epismo workspace over a single endpoint. Your agent gets direct access to shared context, tasks, and so on.

Endpoint

Add this endpoint in your MCP-compatible tool to connect to Epismo.

https://mcp.epismo.ai/

Available tools (epismo_{resource}_{action})

  • epismo_pack_{search|get|upsert|delete|like}
  • epismo_track_{search|get|upsert|delete}

CLI

Interact with your workspace directly from the terminal — the natural home for agent-driven automation. Search packs and manage tracks without opening a browser.

Get started

Run this command to try the CLI and see all available options.

npx epismo --help

Available commands (epismo {resource} {action})

  • epismo pack {search|get|upsert|delete|like}
  • epismo track {search|get|upsert|delete}
Download ZIP
Files
  • skills/
  • context-pack/
  • references/
  • templates/
  • epismo-basics/
  • references/
  • project-tracking/
  • references/
  • templates/
  • workflow-pack/
  • references/
  • templates/
README.md

Epismo Skills

Reusable skill packages that give AI agents structured capabilities through Epismo MCP or CLI.

Why Skills

AI agents hit the same problems across teams and tools:

  • Operational know-how stays trapped in chat histories.
  • Multi-step processes don't transfer when you switch tools.
  • Every new project restarts from scratch.

Skills solve this by packaging proven operational patterns into portable instruction sets that any agent with Epismo access can follow.

Skills

Skill What it does
Epismo Basics Platform fundamentals: auth, CLI/MCP conventions, scope, share URL resolution, error handling
Project Tracking Create and update tasks and goals; plan multi-step work; unblock stalled queues
Workflow Pack Discover, adapt, and release reusable workflows
Context Pack Save session context, hand off tasks, load saved context from any tool

Epismo Basics is a shared foundation — load it alongside any other skill.

Use Cases

Goal Skills to load
Resume work after switching tools Context Pack
Hand off a task to a teammate Context Pack
Add tasks, update status, plan a sprint Epismo Basics + Project Tracking
Find and reuse a community workflow Epismo Basics + Workflow Pack
Capture a proven process and publish it Epismo Basics + Workflow Pack
Delegate work to an AI agent with clear criteria Epismo Basics + Project Tracking
Publish a best-practice guide for the community Context Pack
Full project operations Epismo Basics + Project Tracking + Workflow Pack

Quick Start

Tell your agent:

Set up Epismo access and load the Skills from https://raw.githubusercontent.com/epismoai/skills/main/README.md.

The agent will read this page and complete the steps. Or follow manually:

1. Connect

CLI and MCP connect to the same Epismo service. Use CLI if available; MCP otherwise.

CLI (preferred):

npm install -g epismo
epismo login --email you@example.com
epismo whoami

MCP: add https://mcp.epismo.ai as an MCP server in your client. Authentication is handled automatically via OAuth.

2. Select a workspace

epismo workspace list
epismo workspace use --workspace-id <workspace-id>

3. Load skills

Get the skill files from this repository (clone, download, or copy) and load the relevant SKILL.md files into your agent's context. Each skill follows this structure:

<skill-name>/
  SKILL.md          ← load this
  references/       ← loaded on demand
  templates/        ← structured output templates
Open in GitHub

Proven AI use cases, ready to use.

Explore workflows