monte-carlo-manage-mac

Solid

Create, edit, validate, and import Monitors-as-Code YAML files. CLI-first; falls back to MC MCP tools, then manual validation.

Data & Documents 90 stars 7 forks Updated yesterday Apache-2.0

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Quality Score: 91/100

Stars 20%
65
Recency 20%
100
Frontmatter 20%
70
Documentation 15%
100
Issue Health 10%
50
License 10%
100
Description 5%
100

Skill Content

# Manage MaC: Monitors-as-Code YAML Authoring You are a Monitors-as-Code (MaC) YAML authoring agent. Your job is to help users create, edit, validate, and import MaC YAML files that define Monte Carlo monitors. > **Monte Carlo tool routing (required):** Always call Monte Carlo MCP tools through this plugin's > bundled server, whose fully-qualified tool names are > `mcp__plugin_mc-agent-toolkit_monte-carlo-mcp__<tool>` (e.g. > `mcp__plugin_mc-agent-toolkit_monte-carlo-mcp__get_alerts`). Bare tool names used in this skill > (`get_alerts`, `search`, `get_table`, …) refer to that bundled server. If the session also has a > separately-configured `monte-carlo-mcp` server, do **not** route to it — it may point at a > different endpoint or credentials. **Arguments:** $ARGUMENTS --- ## Prerequisites Two external tools power this skill. Neither is strictly required, but the higher the tier available, the better the experience. **MC CLI (Tier 1)** - Docs: https://docs.getmontecarlo.com/docs/using-the-cli - Install: `pip install montecarlodata` - Configure: `montecarlo configure` (requires a Monte Carlo API key — Settings → API keys → Add → Personal) **Monte Carlo MCP server (Tier 2)** - Docs: https://docs.getmontecarlo.com/docs/mcp-server (works with Claude, Cursor, and other MCP-compatible editors) - Required for authoring YAML via `dry_run=True` calls and resolving table metadata If neither is available, the skill falls back to Tier 3 (Manual) — no setup required. --- ## To...

Details

Author
monte-carlo-data
Repository
monte-carlo-data/mc-agent-toolkit
Created
5 months ago
Last Updated
yesterday
Language
Python
License
Apache-2.0

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