Agent Skills
Instruction packs that give your AI agent know-how. Three different kinds — pick the right one below.
✦ Standalone skills2,933
Self-contained. Install one into any project and it works on its own — no other software needed.
🧰 Tool add-ons725
Come bundled with a specific tool and only work together with it — they teach your agent how to operate that tool.
exploring-llm-clusters
★ 59by posthog
Investigate LLM analytics clusters — understand usage patterns in AI/LLM traffic, compare cluster behavior, compute cost/latency metrics, and drill into…
instrument-llm-analytics
★ 59by 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.
integration-astro-hybrid
★ 49by posthog
This skill helps you add PostHog analytics to Astro (Hybrid) applications.
omnibus-instrument-llm-analytics
★ 49by 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.
omnibus-instrument-product-analytics
★ 49by 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.
signals
★ 49by 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").
creating-experiments
★ 49by 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
★ 49by posthog
Configures the analytics side of a PostHog experiment — exposure criteria (default `$feature_flag_called` vs custom exposure events), primary and secondary…
exploring-live-traffic
★ 49by posthog
Inspects PostHog Web analytics Live tab data — current users online, last-30-minutes pageviews, top pages, referrers, devices, browsers, countries, bot…
tools-and-features-hogql
★ 49by posthog
HogQL queries for PostHog analytics
exploring-llm-clusters
★ 49by posthog
Investigate LLM analytics clusters — understand usage patterns in AI/LLM traffic, compare cluster behavior, compute cost/latency metrics, and drill into…
inbox-exploration
★ 49by 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
★ 49by 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.
instrument-product-analytics
★ 49by 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.
integration-react-tanstack-router-code-based
★ 49by posthog
This skill helps you add PostHog analytics to React with TanStack Router (code-based) applications.
integration-react-tanstack-router-file-based
★ 49by posthog
This skill helps you add PostHog analytics to React with TanStack Router (file-based) applications.
llm-analytics-setup
★ 49by posthog
PostHog LLM analytics for all supported providers
omni-content-builder
★ 35by exploreomni
Create, update, and manage Omni Analytics documents and dashboards programmatically — document lifecycle, tiles, visualizations, filters, and layouts — using…
omni-model-explorer
★ 35by exploreomni
Discover and inspect Omni Analytics models, topics, views, fields, dimensions, measures, and relationships using the Omni REST API. Use this skill whenever…
omni-admin
★ 35by exploreomni
Administer an Omni Analytics instance — manage connections, users, groups, user attributes, permissions, schedules, and schema refreshes via the REST API. Use…
omni-content-explorer
★ 35by exploreomni
Find, browse, and organize content in Omni Analytics — dashboards, workbooks, folders, and labels — using the REST API. Use this skill whenever someone wants…
omni-model-builder
★ 35by exploreomni
Create and edit Omni Analytics semantic model definitions — views, topics, dimensions, measures, relationships, and query views — using YAML through the Omni…
omni-query
★ 35by exploreomni
Run queries against Omni Analytics' semantic layer using the REST API, interpret results, and chain queries for multi-step analysis. Use this skill whenever…
omni-ai-optimizer
★ 35by exploreomni
Optimize your Omni Analytics model for Blobby, Omni's AI assistant — configure ai_context, ai_fields, sample_queries, and create AI-specific topic extensions.…
omni-ai-optimizer
★ 23by exploreomni
Optimize your Omni Analytics model for Blobby, the Omni Agent — configure ai_context, ai_fields, sample_queries, and create AI-specific topic extensions. Use…
omni-admin
★ 23by exploreomni
Administer an Omni Analytics instance — manage connections, users, groups, user attributes, permissions, schedules, and schema refreshes via the Omni CLI. Use…
omni-model-builder
★ 23by exploreomni
Create and edit Omni Analytics semantic model definitions — views, topics, dimensions, measures, relationships, and query views — using YAML through the Omni…
omni-model-explorer
★ 23by exploreomni
Discover and inspect Omni Analytics models, topics, views, fields, dimensions, measures, and relationships using the Omni CLI. Use this skill whenever someone…
omni-query
★ 23by exploreomni
Run queries against Omni Analytics' semantic layer using the Omni CLI, interpret results, and chain queries for multi-step analysis. Use this skill whenever…
omni-to-snowflake-semantic-view
★ 23by exploreomni
Convert an Omni Analytics topic into a Snowflake Semantic View YAML definition. Use this skill whenever someone wants to export Omni metrics to Snowflake,…