Skills.
Give your AI a better way to work.
A skill is a set of written instructions that teaches an AI how to do one job the way it should be done: review a pull request, plan a migration, write the release notes.
Install one here and it travels with your account into Claude, Claude Code, Cursor and every other client you sign in with.
Category: Monitoring & ops
2,353 results · page 48 of 79
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monte-carlo-context-detectionSkillMonitoring & ops
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.
Ready to connect★ 91
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monte-carlo-incident-responseSkillMonitoring & ops
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.
Ready to connect★ 91
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monte-carlo-monitoring-advisorSkillMonitoring & ops
Analyze data coverage, create monitors for warehouse tables and AI agents. Covers coverage gaps, use-case analysis, data monitor creation, and agent observability.
Ready to connect★ 91
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monte-carlo-performance-diagnosisSkillMonitoring & ops
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,
Ready to connect★ 91
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monte-carlo-proactive-monitoringSkillMonitoring & ops
Guide 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.
Ready to connect★ 91
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monte-carlo-remediationSkillMonitoring & ops
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.
Ready to connect★ 91
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monte-carlo-troubleshoot-agent-tracesSkillMonitoring & ops
Troubleshoots 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).
Ready to connect★ 91
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push-ingestionSkillMonitoring & ops
Expert 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, de
Ready to connect★ 91
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evo-macro-cycle-correlationSkillMonitoring & ops
Deflates nominal series to real values using CPI, applies log transformation and Hodrick-Prescott filter to extract cyclical components, and computes Pearson correlation between two cyclical series.
Ready to connect★ 89
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evo-maven-build-diagnosisSkillMonitoring & ops
Executes Maven builds, captures output, and parses error logs to identify root causes of build failures. Handles compilation errors, dependency resolution failures, POM configuration issues, and JDK version incompatibilities.
Ready to connect★ 89
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evo-r2r-mpc-controllerSkillMonitoring & ops
Implements MPC controller with prediction matrices, QP formulation, simulation loop for R2R web handling. Generates controller_params.json, control_log.json, and metrics.json.
Ready to connect★ 89
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evo-thermal-pid-controlSkillMonitoring & ops
PID controller tuning, discrete-time PID with anti-windup, closed-loop simulation, and control performance metrics. Uses SIMC tuning rules for first-order systems.
Ready to connect★ 89
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evo-thermal-sysidSkillMonitoring & ops
System identification utilities for first-order thermal systems. Runs open-loop step tests on HVAC simulator, collects calibration data, fits first-order exponential model, outputs estimated parameters (K, tau) with fit quality metrics.
Ready to connect★ 89
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ai-assist-observability-auditSkillMonitoring & ops
17-dimension observability audit with tier activation, health scoring, and cost analysis. Covers logging, metrics, tracing, alerting, SLOs, profiling, security observability, and developer experience. Use when assessing observability posture, identifying telemetry gaps, or optimizing observability c
Ready to connect★ 89
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fix-github-actionsSkillMonitoring & ops
Retrieve GitHub Actions logs with gh, analyze failures, and fix CI errors locally. Use when the user types /fix-github-actions.
Ready to connect★ 89
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swiftui-expert-skillSkillMonitoring & ops
Use when writing, reviewing, or refactoring SwiftUI code for iOS or macOS, including state management and `@Observable` data flow, view composition and invalidation/performance, lists and `ForEach` identity, environment usage, localization, animations, Liquid Glass adoption, migrating soft-deprecate
Ready to connect★ 89
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benchmark-loggingSkillMonitoring & ops
Define benchmark runs and log outcomes with consistent metrics, acceptance criteria, and reproducible artifact references.
Ready to connect★ 88
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ck:fixSkillMonitoring & ops
ALWAYS activate this skill before fixing ANY bug, error, test failure, CI/CD issue, type error, lint, log error, UI issue, code problem.
Ready to connect★ 88
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experiment-provenanceSkillMonitoring & ops
Capture experiment provenance with reproducible run metadata, artifact pointers, and decision logs for scientific claims.
Ready to connect★ 88
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hitkeep-workspaceSkillMonitoring & ops
Operate HitKeep safely in isolated Git worktrees. Use when inspecting workspace state, resolving ports or URLs, starting or stopping development services, coordinating concurrent agents or QA runs, reusing active runs, reading bounded logs, or preparing a secret-free handoff.
Ready to connect★ 88
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ai-agentsSkillMonitoring & ops
AI agent architecture, graph and loop composition, protocol choice, evaluation, and observability. Use when scoping or reviewing systems before implementation.
Ready to connect★ 87
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ai-coding-agents-observability-evalsSkillMonitoring & ops
Designs coding-agent observability and evals. Use when measuring traces, replay, checkpoint lineage, quality trajectories, tool grading, regression, or cost.
Ready to connect★ 87
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ai-voice-botsSkillMonitoring & ops
Builds production voice bots and IVR with Python STT/TTS pipelines. Use when designing telephony, streaming audio, latency budgets, or voice quality monitoring.
Ready to connect★ 87
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dev-ai-coding-metricsSkillMonitoring & ops
Measures AI coding impact and extension robustness. Use when tracking delivery, quality trajectories, cost, experience, pilots, scorecards, or leadership reporting.
Ready to connect★ 87
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gemini-devfleetSkillMonitoring & ops
Orchestrate multi-agent coding tasks via Gemini DevFleet — plan projects, dispatch parallel agents in isolated worktrees, monitor progress, and read structured reports.
Ready to connect★ 87
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jkSkillMonitoring & ops
Manage Jenkins controllers with jk, including jobs, runs, logs, artifacts, credentials, nodes, queues, and plugins.
Ready to connect★ 87
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meal-deliverySkillMonitoring & ops
Help order food timed to arrive at a specific time. Works backward from target arrival, suggests restaurants, builds cart, and monitors delivery.
Ready to connect★ 84
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nerv-uiSkillMonitoring & ops
Build original, accessible React command-center interfaces with the published @mdrbx/nerv-ui component library. Use for dashboards, monitoring terminals, operational tools, authentication screens, or sharp industrial HUD-style UI in React, Vite, or Next.js.
Ready to connect★ 87
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ops-incident-responseSkillMonitoring & ops
Guides incident response from detection through postmortem. Use when designing on-call runbooks, triaging production incidents, writing status updates, or improving MTTD and MTTR.
Ready to connect★ 87
What is a skill?
A skill is plain text, usually a SKILL.md file and the scripts it refers to, written for an AI rather than for a person. It carries the steps, the house rules and the examples a good answer needs, so you stop pasting the same briefing into every new chat.
52,524 of the 52,958 skills listed here can be served through ahel today, and they come from public repositories. Each one has its own page with the instructions themselves on it, so you can read what a skill will tell your AI to do before you install it.
Install one and every AI you use gets it
Installing a skill adds it to your gateway and turns it on in the same step. Claude Code surfaces it as a slash command; any client can read the full instructions with the skill_read tool.
Nothing is copied into a project folder. The instructions are served from your account, so the same skill is there in every AI you connect, and turning it off removes it from all of them at once.