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Claude Skills by monte-carlo-data
github.com/monte-carlo-data21 skills0 installs37 views
- Toolkit Skill AuthorAuthors or extends a skill in mc-agent-toolkit. Gates for forbidden buckets and name collisions, applies CONTRIBUTING's extend-or-split rules, then edits a peer skill or hands off to Anthropic's skill-creator and walks the registration checklist.Votes: 0GitHub stars: 92
- Analyze Root CauseInvestigate 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.Votes: 0GitHub stars: 92
- Asset HealthCheck 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.Votes: 0GitHub stars: 92
- Automated TriageTriage 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.Votes: 0GitHub stars: 92
- Connection Auth RulesBuild a Connection Auth Rules for a Monte Carlo connection type. Fetches live connector schemas and transform steps from the apollo-agent repo.Votes: 0GitHub stars: 92
- Context DetectionRoute 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.Votes: 0GitHub stars: 92
- Generate Validation NotebookGenerate SQL validation notebooks for dbt changes. Pass a GitHub PR URL or local dbt repo path.Votes: 0GitHub stars: 92
- Incident ResponseOrchestrate incident response — triage, root cause, remediate, prevent recurrence. USE WHEN active alerts, data broken, stale, pipeline failure, or investigate and fix a data incident.Votes: 0GitHub stars: 92
- Instrument AgentInstrument 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.Votes: 0GitHub stars: 92
- Manage MacCreate, edit, validate, and import Monitors-as-Code YAML files. CLI-first; falls back to MC MCP tools, then manual validation.Votes: 0GitHub stars: 92
- Monitoring AdvisorAnalyze data coverage, create monitors for warehouse tables and AI agents. Covers coverage gaps, use-case analysis, data monitor creation, and agent observability.Votes: 0GitHub stars: 92
- Performance DiagnosisDiagnoses 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.Votes: 0GitHub stars: 92
- PreventShift-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.Votes: 0GitHub stars: 92
- Proactive MonitoringGuide users from coverage analysis to monitor creation. USE WHEN user asks what should I monitor, where are my gaps, improve coverage, or wants a systematic approach to monitoring across their data estate.Votes: 0GitHub stars: 92
- Push IngestionExpert guide for Monte Carlo's push ingestion model. Use this skill whenever a customer or engineer mentions: pushing data to Monte Carlo, the IngestionService, pycarlo push APIs, build me a collection script, push metadata/lineage/query logs, invocation_id tracing, custom lineage nodes or edges, deleting push tables, or any question about why pushed data is not showing up. Also trigger when they ask to generate code that collects metadata, table schema, row counts, freshness, lineage, or que...Votes: 0GitHub stars: 92
- RemediationInvestigate 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.Votes: 0GitHub stars: 92
- Storage Cost AnalysisAnalyze a warehouse for stale, unused, or redundant tables via the analyze_storage_costs MCP tool. Classifies waste patterns and table categories, computes safety tiers, and handles category drill-downs and lineage follow-ups.Votes: 0GitHub stars: 92
- Tune MonitorAnalyze 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.Votes: 0GitHub stars: 92
- Reinforce AgentReinforces 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 ...Votes: 0GitHub stars: 92
- Troubleshoot Agent TracesTroubleshoots Monte Carlo AI agent alerts and traces — eval score drops, latency/token spikes, trajectory and validation breaches. Not for data incidents (monte-carlo-analyze-root-cause) or monitor creation (monte-carlo-monitoring-advisor).Votes: 0GitHub stars: 92
- OnboardingConnect warehouses to Monte Carlo with API v2 tools: show deployments and what can be added, reference credentials, create, validate and fix connections. Use to connect or onboard platforms, or to generate the Terraform or a script for it.Votes: 0GitHub stars: 92