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Skills

AI agent skills for the flespi IoT and telematics cloud platform. Provides comprehensive reference for the flespi REST API, MQTT broker, device management, and analytics.

Install / Use

/learn @flespi-software/Skills
About this skill

Quality Score

0/100

Supported Platforms

Universal

README

flespi Skills

AI agent skills for the flespi IoT and telematics cloud platform. Provides comprehensive reference for the flespi REST API, MQTT broker, device management, and analytics.

Installation

Claude Code (plugin)

/plugin marketplace add flespi-software/skills
/plugin install flespi@flespi-software-skills

Then use the skill:

/flespi:flespi how do I get device messages?

VS Code / GitHub Copilot

Add to your .vscode/mcp.json:

{
  "inputs": [
    {
      "id": "flespiToken",
      "type": "promptString",
      "description": "Flespi Token",
      "password": true
    }
  ],
  "servers": {
    "flespi-develop": {
      "type": "http",
      "url": "https://flespi.io/ai/mcp/develop",
      "headers": {
        "Authorization": "FlespiToken ${input:flespiToken}"
      }
    }
  }
}

For knowledge context, also copy .github/copilot-instructions.md to your project's .github/ directory.

Cursor

Add to your .cursor/mcp.json:

{
  "mcpServers": {
    "flespi-develop": {
      "url": "https://flespi.io/ai/mcp/develop",
      "headers": {
        "Authorization": "FlespiToken ${FLESPI_TOKEN}"
      }
    }
  }
}

For knowledge context, also copy .cursorrules to your project root.

Windsurf

Add to your .windsurf/mcp.json:

{
  "mcpServers": {
    "flespi-develop": {
      "serverUrl": "https://flespi.io/ai/mcp/develop",
      "headers": {
        "Authorization": "FlespiToken ${FLESPI_TOKEN}"
      }
    }
  }
}

For knowledge context, also copy .windsurfrules to your project root.

OpenCode

Copy AGENTS.md to your project root, or add to your opencode.json:

{
  "instructions": ["path/to/skills/flespi/SKILL.md"]
}

Manual (any agent)

Copy skills/flespi/SKILL.md into your agent's context or instructions file. The content is plain Markdown and works with any LLM-based coding assistant.

What's Included

  • Platform concepts — data flow, core entities (channels, devices, streams, calculators, plugins, geofences, webhooks, tokens)
  • REST API reference — authentication, CRUD, selectors, pagination, response format, error codes, calculate method
  • MQTT broker reference — topics, categories, filtering, shared/sticky subscriptions, QoS
  • Expression syntax — operators, functions, parameter access, filtering, templating
  • Common patterns — device lookup, message retrieval, analytics, stream health, command sending

License

MIT

View on GitHub
GitHub Stars4
CategoryData
Updated17d ago
Forks1

Security Score

90/100

Audited on Mar 16, 2026

No findings