mc-agent-toolkit
Review Skills in monte-carlo-data/mc-agent-toolkit, with license, maintenance context, and source paths.
- Skills
- 18
- Repository stars
- 90
- Identity status
- Source-linked
Provenance
Source and identity
- Profile type
- Repository
- Canonical name
- mc-agent-toolkit
- Public sources
- 1
- License context
- Apache-2.0
Source entries
Agent Skills from mc-agent-toolkit
Repository stars and maintenance signals provide context, but do not automatically become an individual Skill's quality score.
monte-carlo-data/mc-agent-toolkit
automated-triage
Triage Monte Carlo alerts interactively or build an automated workflow. Fetch, score, and troubleshoot alerts using MCP tools now, or design a reusable workflow that runs on a schedule.
monte-carlo-data/mc-agent-toolkit
generate-validation-notebook
Generate SQL validation notebooks for dbt changes. Pass a GitHub PR URL or local dbt repo path.
monte-carlo-data/mc-agent-toolkit
monte-carlo-analyze-root-cause
Investigate data incidents and find root causes using Monte Carlo's observability data. Guides the agent through systematic investigation: alert lookup, lineage tracing, ETL checks, query analysis, and data profiling. Activates when a user asks about data issues, incidents, alerts, or why data looks wrong.
monte-carlo-data/mc-agent-toolkit
monte-carlo-asset-health
Check the health of a data table/asset using Monte Carlo. Activates on "how is table X", "check health of X", "is X healthy", "status of X", "check on X table", or any health/status question about a data asset.
monte-carlo-data/mc-agent-toolkit
monte-carlo-context-detection
Route data-related requests to the right Monte Carlo skill or workflow. USE WHEN alerts, incidents, data broken, stale, coverage gaps, data quality, or any ambiguous data observability request.
monte-carlo-data/mc-agent-toolkit
monte-carlo-incident-response
Orchestrate incident response — triage, root cause, remediate, prevent recurrence. USE WHEN active alerts, data broken, stale, pipeline failure, or investigate and fix a data incident.
monte-carlo-data/mc-agent-toolkit
monte-carlo-instrument-agent
Instrument a new AI agent in a Python codebase for Monte Carlo Agent Observability. Detects AI libraries, installs the Monte Carlo OpenTelemetry SDK, and proposes tracing setup and decorator placements as diffs. Asks before editing any file.
monte-carlo-data/mc-agent-toolkit
monte-carlo-manage-mac
Create, edit, validate, and import Monitors-as-Code YAML files. CLI-first; falls back to MC MCP tools, then manual validation.
monte-carlo-data/mc-agent-toolkit
monte-carlo-monitoring-advisor
Analyze data coverage, create monitors for warehouse tables and AI agents. Covers coverage gaps, use-case analysis, data monitor creation, and agent observability.
monte-carlo-data/mc-agent-toolkit
monte-carlo-performance-diagnosis
Diagnoses pipeline performance issues -- slow jobs, expensive queries, latency trends -- using Monte Carlo's cross-platform observability. Uses a tiered investigation approach: discover problems, bridge to affected tables, then drill into root causes. Activates when a user asks about slow pipelines, expensive queries, or performance regressions.
monte-carlo-data/mc-agent-toolkit
monte-carlo-prevent
Shift-left safety net for dbt/SQL model edits. Runs change impact assessment before edits, generates SQL validation queries after, and executes them via `/mc-validate run`. Delegates health and monitor creation to peer skills.
monte-carlo-data/mc-agent-toolkit
monte-carlo-reinforce-agent
Reinforces an AI agent by turning Monte Carlo's reinforcement loop diagnosis into code fixes. Reads the daily reinforcement loop report for an agent's workflows, ranks the diagnosed issues, proposes what to fix, and — with the user's approval at each step — opens a pull request. Activates on "fix my agent", "improve my agent's health", "reinforce my agent", "what should I fix in my agent". Not for investigating a specific agent alert or trace (monte-carlo-troubleshoot-agent-traces), creating age
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