monte-carlo-remediation
Investigate and remediate data quality alerts using Monte Carlo MCP tools. Runs root cause analysis, assesses blast radius, discovers available tools (MCP/CLI/API), proposes and executes fixes, or escalates with full context when uncertain.
Profile →npx skills add sickn33/agentic-awesome-skills --skill monte-carlo-remediation --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Monte Carlo Remediation Skill This skill teaches you to investigate and remediate data quality issues detected by Monte Carlo. You use MC MCP tools to understand the alert context, run root cause analysis, assess blast radius, and then execute the appropriate remediation action using whatever external tools the user has connected. > **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. Reference files live next to this skill file. **Use the Read tool** (not MCP resources) to access them: - Common remediation patterns and examples: `references/patterns.md` (relative to this file) - How to discover available tools at runtime: `references/tool-discovery.md` (relative to this file) - Safety rails and esca
- When to activate this skill
- When NOT to activate this skill
- Available tools
- Monte Carlo MCP server (investigation + post-remediation)
- External tools (remediation execution)
- Core workflow
- Workflow 1: Investigation
- Workflow 2: Capability discovery
- Workflow 3: Remediation execution
- Workflow 4: Post-remediation
- Common mistakes to avoid
- Limitations
What does the monte-carlo-remediation skill do?
Investigate and remediate data quality alerts using Monte Carlo MCP tools. Runs root cause analysis, assesses blast radius, discovers available tools (MCP/CLI/API), proposes and executes fixes, or escalates with full context when uncertain.
How do I install it?
Run `npx skills add sickn33/agentic-awesome-skills --skill monte-carlo-remediation --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.