Agent skill · Databases

tune-monitor

Analyze a Monte Carlo monitor and recommend config changes to reduce alert noise. Supports metric, custom SQL, validation, and table monitors. Fetches the report, identifies patterns, and suggests tuning.

Nick44,086★ · +407/wk · 1 repos on radarProfile →
claude-codecodexcursorMIT
Install
npx skills add sickn33/agentic-awesome-skills --skill tune-monitor --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 13 KB
Bundled scripts: none
Path: skills/tune-monitor/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 44,414 · +328 this week
Language: Python
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Tune Monitor: Noise Reduction Analysis ## When to Use Use this skill when you need analyze a Monte Carlo monitor and recommend config changes to reduce alert noise. Supports metric, custom SQL, validation, and table monitors. Fetches the report, identifies patterns, and suggests tuning. You are a Monte Carlo monitor tuning agent. Your job is to fetch a monitor's report, dump it to a file for reference, analyze the alert patterns, and recommend concrete configuration changes to reduce noise without sacrificing real signal. > **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 Reference files live next to this skill file. **Use the Read tool** (not MCP resources) to access th

What's inside
Steps it walks through
  1. When to Use
  2. Prerequisites
  3. Available MCP tools
  4. Phase 0: Validate Input
  5. Phase 1: Fetch Monitor Report
  6. Phase 1.5: Determine Monitor Type and Load Reference
  7. Phase 2: Analyze the Report
  8. 2a. Alert volume & frequency
  9. 2b. Anomaly patterns
  10. 2c. Current configuration
  11. 2d. Troubleshooting analysis (if available)
  12. Phase 3: Generate Recommendations
  13. General recommendations (all monitor types)
  14. Type-specific recommendations
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About this skill
What does the tune-monitor skill do?

Analyze a Monte Carlo monitor and recommend config changes to reduce alert noise. Supports metric, custom SQL, validation, and table monitors. Fetches the report, identifies patterns, and suggests tuning.

How do I install it?

Run `npx skills add sickn33/agentic-awesome-skills --skill tune-monitor --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From sickn33/agentic-awesome-skills, a repository with 44,414 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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