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Epismo Agent Skills

Community-built AI agent workflows and best practices for reliable project operations and execution.

Introduction

Epismo Agent Skills is a platform that provides community-built workflows and best practices for AI agents, making human-AI project operations portable, visible, and repeatable. It addresses common challenges in AI adoption where workflows remain personal and fragile, know-how is scattered across chats, and processes are hard to reuse despite prompts being easy to copy.

Key Features
  • Community Workflow Discovery: Search and import proven workflows from the community
  • Knowledge Capture: Turn practical expertise into reusable workflows for teams or community sharing
  • Project Integration: Connect imported workflows to projects for execution, tracking, and management
  • MCP Server Integration: Standardized Model Context Protocol server for seamless agent integration
  • GitHub Repository: Open-source skills repository for transparency and community contributions
Use Cases
  1. Start from Current Project State: Analyze projects and suggest optimal workflows
  2. Find and Reuse Best Practices: Import community workflows and adapt them to specific projects
  3. Convert Context to Executable Work: Transform content (like blog posts) into reusable workflows
  4. Split AI Execution and Human Control: Automate steps with AI while maintaining human approval
  5. Capture Successful Patterns: Save effective workflows as reusable templates for future use
Technical Implementation
  • MCP Endpoint: https://mcp.epismo.ai/ with JSON-RPC 2.0 protocol
  • Authentication: Secret key-based authorization via Bearer tokens
  • API Integration: RESTful API for user management and secret key generation
  • Client Configuration: Easy setup with standard MCP client configuration
Target Users
  • AI developers and engineers building agent-based systems
  • Teams implementing AI workflows in their projects
  • Organizations looking to standardize AI operations
  • Community contributors sharing proven AI practices

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