Agent Skills

fabric-lakehouse

✓★ 36,200

by github

Microsoft Fabric Lakehouse storage for unified tabular and non-tabular data with Delta Lake, SQL analytics, and fine-grained security. Combines data lake flexibility with data warehouse management through Delta Lake format, ACID transactions, versioning, and SQL endpoints for T-SQL querying Organizes data via schemas (folders under Tables), shortcuts (virtual links to internal/external sources), and materialized views for optimized query performance Supports multiple data formats: Delta...

azure-resource-health-diagnose

✓★ 36,200

by github

Diagnose Azure resource health issues and generate a prioritized remediation plan. Analyzes resource status, logs, and telemetry across 8+ Azure service types (Web Apps, VMs, Cosmos DB, Storage, SQL Database, Application Insights, Key Vault, Service Bus) Executes targeted KQL queries against Log Analytics and Application Insights to identify errors, performance degradation, and anomalies Classifies issues by severity (Critical, High, Medium, Low) and performs root cause analysis across...

az-cost-optimize

✓★ 36,200

by github

Analyze Azure resources and IaC files to identify cost optimizations, creating tracked GitHub issues for implementation. Discovers Azure resources across subscriptions and resource groups, analyzes IaC files (Bicep, Terraform, ARM templates), and collects usage metrics from Log Analytics to validate current costs Generates evidence-based optimization recommendations with priority scoring based on monthly savings, implementation effort, and risk assessment Creates individual GitHub issues for...

analytics

★ 36,000

by coreyhaines31

When the user wants to set up, improve, or audit analytics tracking and measurement. Also use when the user mentions "set up tracking," "GA4," "Google Analytics," "conversion tracking," "event tracking," "UTM parameters," "tag manager," "GTM," "analytics implementation," "tracking plan," "how do I measure this," "track conversions," "attribution," "Mixpanel," "Segment," "are my events firing," or "analytics isn't working." Use this whenever someone asks how to know if something is working or...

cudf-analytics

★ 25,700

by langchain-ai

Use for GPU-accelerated data analysis on datasets, CSVs, or tabular data using NVIDIA cuDF. Triggers when tasks involve groupby aggregations, statistical…

google-agents-cli-observability

✓★ 4,700

by google

This skill should be used when the user wants to "set up tracing", "monitor my ADK agent", "configure logging", "add observability", "debug production traffic", or needs guidance on monitoring deployed ADK (Agent Development Kit) agents. Covers Cloud Trace, prompt-response logging, BigQuery Agent Analytics, third-party integrations (AgentOps, Phoenix, MLflow, etc.), and troubleshooting. Part of the Google ADK (Agent Development Kit) skills suite. Do NOT use for deployment setup (use...

azure-monitor-ingestion-py

✓★ 2,700

by microsoft

Send custom logs to Azure Monitor Log Analytics workspace using the Logs Ingestion API.

azure-storage-file-datalake-py

✓★ 2,700

by microsoft

Hierarchical file system for big data analytics workloads.

azure-monitor-ingestion-py

✓★ 2,700

by microsoft

Send custom logs to Azure Monitor Log Analytics workspace using the Logs Ingestion API.

azure-kusto

✓★ 2,700

by microsoft

Query and analyze data in Azure Data Explorer (Kusto/ADX) using KQL for log analytics, telemetry, and time series analysis. WHEN: KQL queries, Kusto database…

azure-monitor-query-py

✓★ 2,700

by microsoft

Query logs and metrics from Azure Monitor and Log Analytics workspaces.

azure-kusto

✓★ 2,700

by microsoft

Query and analyze data in Azure Data Explorer (Kusto/ADX) using KQL for log analytics, telemetry, and time series analysis. WHEN: KQL queries, Kusto database…

azure-storage-file-datalake-py

✓★ 2,700

by microsoft

Hierarchical file system for big data analytics workloads.

azure-monitor-query-py

✓★ 2,700

by microsoft

Query logs and metrics from Azure Monitor and Log Analytics workspaces.

azure-kusto

✓★ 1,300

by microsoft

Execute KQL queries and analyze data in Azure Data Explorer for log analytics, telemetry, and time series insights. Execute KQL queries against massive datasets with sub-second performance, including filtering, aggregation, time series analysis, and cross-table joins Discover and explore cluster resources, databases, and table schemas to understand your data model before querying Supports five core query patterns: basic retrieval, aggregation analysis, time series analytics, join-based...

azure-storage

✓★ 1,300

by microsoft

Azure Storage Services including Blob Storage, File Shares, Queue Storage, Table Storage, and Data Lake. Answers questions about storage access tiers (hot, cool, cold, archive), when to use each tier, and tier comparison. Provides object storage, SMB file shares, async messaging, NoSQL key-value, and big data analytics. Includes lifecycle management. USE FOR: blob storage, file shares, queue storage, table storage, data lake, upload files, download blobs, storage accounts, access tiers,...

azure-storage

✓★ 1,300

by microsoft

Unified access to Azure blob storage, file shares, queues, tables, and data lake services. Supports five storage service types: Blob Storage for objects and backups, File Shares for SMB access, Queue Storage for async messaging, Table Storage for NoSQL key-value data, and Data Lake for big data analytics MCP server tools enable listing storage accounts, containers, and blobs, plus downloading and uploading blob content directly Configurable access tiers (hot, cool, cold, archive) and...

using-dbt-for-analytics-engineering

★ 605

by dbt-labs

Builds and modifies dbt models, writes SQL transformations using ref() and source(), creates tests, and validates results with dbt show. Use when doing any dbt…

azure-kusto

✓★ 226

by Azure

Query and analyze data in Azure Data Explorer (Kusto/ADX) using KQL for log analytics, telemetry, and time series analysis.

azure-storage

✓★ 226

by Azure

Azure Storage Services including Blob Storage, File Shares, Queue Storage, Table Storage, and Data Lake. Provides object storage, SMB file shares, async messaging, NoSQL key-value, and big data analytics capabilities.

dv-query

✓★ 161

by microsoft

Bulk reads, multi-page iteration, and analytics over Dataverse data via the Python SDK and Web API. Use when the user wants to read, list, filter, aggregate,…

site-launch-checklist

★ 157

by samber

Pre-launch checklist for shipping a new website. Orchestrates analytics setup (GA4, PostHog, Google Search Console, Ahrefs), legal compliance, security headers and audit, SEO and GEO with keyword research validated against Google Trends (robots.txt, sitemaps, llms.txt, AI policy, schema markup, hreflang), copywriting consistency via a TONE.md and a humanizer pass in the matching language, OpenGraph and social previews, full favicon set with manifest, quality gates (Lighthouse, Core Web...

custom-code-management

★ 99

by webflow

Add, review, or remove inline custom scripts on a Webflow site (up to 10,000 chars). Use for analytics, tracking pixels, chat widgets, or any custom…

exploring-llm-clusters

★ 59

by posthog

Investigate LLM analytics clusters — understand usage patterns in AI/LLM traffic, compare cluster behavior, compute cost/latency metrics, and drill into…

instrument-product-analytics

★ 59

by posthog

Use this skill to add product analytics events (capture calls) that track meaningful user actions in new or changed code. Use it after implementing features or reviewing PRs to ensure key user behaviors are captured. If PostHog is not yet installed, this skill also covers initial SDK setup. Supports any framework or language.

inbox-exploration

★ 59

by posthog

The Inbox is where PostHog surfaces signal reports — clusters of related observations (signals) that have been aggregated into a single issue or trend (e.g. "Error rate spiked 3× on /checkout"). Reports come from multiple source products: error tracking, session replay, web analytics, experiments, and integrations like Linear, GitHub, and Zendesk.

instrument-llm-analytics

★ 59

by posthog

Use this skill to add PostHog LLM analytics that trace AI model usage in new or changed code. Use it after implementing LLM features or reviewing PRs to ensure all generations are captured with token counts, latency, and costs. If PostHog is not yet installed, this skill also covers initial SDK setup. Supports any provider or framework.

creating-experiments

★ 59

by posthog

Guides agents through the 3-step experiment creation flow: defining the hypothesis, configuring rollout, and setting up analytics. Delegates rollout decisions…

configuring-experiment-analytics

★ 59

by posthog

Configures the analytics side of a PostHog experiment — exposure criteria (default `$feature_flag_called` vs custom exposure events), primary and secondary…

signals

★ 59

by posthog

Signals are automated observations that PostHog generates by monitoring a customer's product data across multiple sources — error tracking, web analytics, experiments, session replay, and more. Each signal is a short natural-language description of something noteworthy (e.g. "Error rate spiked 3× on /checkout").