Agent Skills

diagnosing-missing-recordings

★ 49

by posthog

Diagnoses why a session recording is missing or was not captured. Use when a user asks why a session has no replay, why recordings aren't appearing, or wants to troubleshoot session replay capture issues for a specific session ID or across their project. Covers SDK diagnostic signals, project settings, sampling, triggers, ad blockers, and quota/billing scenarios.

exploring-apm-traces

★ 49

by posthog

Investigates distributed application performance using PostHog APM (OpenTelemetry span) data via MCP. Use when the user asks about service traces, slow HTTP/database spans, error spans, trace IDs, or span attributes — not AI observability traces or product logs. Uses posthog:query-apm-spans, posthog:apm-trace-get, posthog:apm-services-list, posthog:apm-attributes-list, and posthog:apm-attribute-values-list.

exploring-llm-clusters

★ 49

by posthog

Investigate AI observability clusters — understand usage patterns in AI/LLM traffic, compare cluster behavior, compute cost/latency metrics, and drill into individual traces within clusters.

exploring-llm-evaluations

★ 49

by posthog

Investigate AI observability evaluations of both types — `hog` (deterministic code-based) and `llm_judge` (LLM-prompt-based). Find existing evaluations, inspect their configuration, run them against specific generations, query individual pass/fail results, and generate AI-powered summaries of patterns across many runs. Use when the user asks to debug why an evaluation is failing, surface common failure modes, compare results across filters, dry-run a Hog evaluator, prototype a new LLM-judge prom

exploring-llm-traces

★ 49

by posthog

ABSOLUTE MUST to debug and inspect LLM/AI agent traces using PostHog's MCP tools. Use when the user pastes a trace or session URL (e.g. /ai-observability/traces/<id> or /ai-observability/sessions/<id>), asks to debug a trace, figure out what went wrong, check if an agent used a tool correctly, verify context/files were surfaced, inspect subagent behavior, investigate LLM decisions, or analyze token usage and costs. Also use when raw SQL/HogQL against `events.properties.$ai_input` / `$ai_output_c

feature-usage-feed

★ 49

by posthog

Set up an LLM-judge evaluation that extracts canonical use cases for a PostHog feature at scale and streams the results to a Slack channel as a live feed. Use when someone wants to understand how users are actually using a specific AI/LLM-powered feature in production — what they're investigating, what questions they're trying to answer, and what patterns surface — without manually reading hundreds of traces. Assumes the feature emits `$ai_generation` and `$ai_evaluation` events with `$session_i

finding-experiments

★ 49

by posthog

Resolves a PostHog experiment reference from natural language to a concrete experiment ID by browsing `experiment-list` (not feature-flag tools), with disambiguation when multiple experiments match. Use when the user names or quotes an experiment ("split test demo", "the File engagement boost experiment", "onboarding retention test", "landing page hero experiment", "pricing experiment"), describes it loosely ("the signup experiment", "my pricing test", "the one with the new checkout"), uses a re

inbox-exploration

★ 49

by posthog

Explore PostHog's Inbox — the surface where signal reports surface as actionable issues and trends. Use when the user asks "what's in my inbox?", "what should I look at?", "which reports are actionable?", "what's PostHog flagged recently?", asks about a specific report by ID or title, or wants to see which signal sources are configured. Covers listing, filtering, and drilling into reports, plus pointers to the deeper `signals` skill when raw signals or semantic search are needed.

omni-admin

★ 35

by exploreomni

Administer an Omni Analytics instance — manage connections, users, groups, user attributes, permissions, schedules, and schema refreshes via the REST API. Use this skill whenever someone wants to manage users or groups, set up permissions on a dashboard or folder, configure user attributes, create or modify schedules, manage database connections, refresh a schema, set up access controls, provision users, or any variant of "add a user", "give access to", "set up permissions", "who has access", "c

omni-content-builder

★ 35

by exploreomni

Create, update, and manage Omni Analytics documents and dashboards programmatically — document lifecycle, tiles, visualizations, filters, and layouts — using the REST API. Use this skill whenever someone wants to build a dashboard, create a workbook, add tiles or charts, configure dashboard filters, update an existing dashboard's model, set up a KPI view, create visualizations, lay out a dashboard, create a document, rename a workbook, delete a dashboard, move a document to a folder, duplicate a

omni-content-explorer

★ 35

by exploreomni

Find, browse, and organize content in Omni Analytics — dashboards, workbooks, folders, and labels — using the REST API. Use this skill whenever someone wants to find an existing dashboard, search for content, list workbooks, browse folders, see what dashboards exist, find popular reports, download a dashboard as PDF or PNG, favorite content, manage labels on documents, or any variant of "find the dashboard about", "what reports do we have", "show me our dashboards", "where is the sales report",

omni-ai-optimizer

★ 35

by 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. Use this skill whenever someone wants to improve AI accuracy in Omni, make Blobby smarter, configure AI context, add example questions, tune AI responses, set up sample queries, curate fields for AI, create AI-optimized topics, troubleshoot why Blobby gives wrong answers, or any variant of "make the AI better", "Blobby isn't answering corr

omni-model-builder

★ 35

by exploreomni

Create and edit Omni Analytics semantic model definitions — views, topics, dimensions, measures, relationships, and query views — using YAML through the Omni REST API. Use this skill whenever someone wants to add a field, create a new dimension or measure, define a topic, set up joins between tables, modify the data model, build a new view, add a calculated field, create a relationship, edit YAML, work on a branch, promote model changes, or any variant of "model this data", "add this metric", "c

omni-model-explorer

★ 35

by exploreomni

Discover and inspect Omni Analytics models, topics, views, fields, dimensions, measures, and relationships using the Omni REST API. Use this skill whenever someone wants to understand what data is available in Omni, explore their semantic model, find specific fields or views, check how tables join together, see what topics exist, or asks any variant of "what can I query", "what fields are available", "show me the model", "what data do we have", or "how is this data modeled". Also use when you ne

omni-query

★ 35

by 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 someone wants to query data through Omni, run a report, get metrics, pull numbers, analyze data, ask "how many", "what's the trend", "show me the data", retrieve dashboard query results, or perform any data retrieval through Omni's query engine. Also use when someone wants to programmatically extract data from an existing Omni dashboard or w

omni-embed

★ 35

by exploreomni

Embed Omni Analytics dashboards in external applications — URL signing, custom themes, iframe events, entity workspaces, and permission-aware content — using the @omni-co/embed SDK and REST API. Use this skill whenever someone wants to embed a dashboard, sign an embed URL, customize the embedded theme, handle embed events, listen for clicks or drills in the iframe, send filters to an embedded dashboard, set up entity workspaces, look up embed users, build a permission-aware content list, white-l

Nia

★ 24

by nozomio-labs

Index and search code repositories, documentation, research papers, HuggingFace datasets, local folders, Slack workspaces, Google Drive, X (Twitter), and packages with Nia AI. Includes auth bootstrapping, Oracle autonomous research, GitHub live search, Tracer agent, dependency analysis, context sharing, code advisor, document agent, data extraction, filesystem operations, and generic connectors.

liquid-theme-a11y

✓★ 20

by shopify

Implement WCAG 2.2 accessibility patterns in Shopify Liquid themes. Covers e-commerce-specific components including product cards, carousels, cart drawers, price display, forms, filters, and modals. Use when building accessible theme components, fixing accessibility issues, or reviewing ARIA patterns in .liquid files.

liquid-theme-standards

✓★ 20

by shopify

CSS, JavaScript, and HTML coding standards for Shopify Liquid themes. Covers BEM naming inside stylesheet tags, design tokens, CSS custom properties, Web Components for themes, defensive CSS, and progressive enhancement. Use when writing CSS/JS/HTML in .liquid files or theme asset files.

shopify-liquid-themes

✓★ 20

by shopify

Generate Shopify Liquid theme code (sections, blocks, snippets) with correct schema JSON, LiquidDoc headers, translation keys, and CSS/JS patterns. Use when creating or editing .liquid files for Shopify themes, working with schema, doc, stylesheet, javascript tags, or Shopify Liquid objects/filters/tags.

browse

✓★ 12

by browserbase

Use the browse CLI for Browserbase browser automation, Browserbase cloud APIs, Browserbase Functions, templates, web fetch/search, diagnostics, and Browse.sh skill discovery/installation. Use when the user asks to navigate pages, inspect browser state, run local or remote browser sessions, manage Browserbase resources, call Browserbase Functions, browse or scaffold Browserbase templates, fetch or search web content, diagnose browse setup, find or install a skill for a website task, discover site

huggingface-tokenizers

★ 11

by firecrawl

Fast tokenizers optimized for research and production. Rust-based implementation tokenizes 1GB in <20 seconds. Supports BPE, WordPiece, and Unigram algorithms. Train custom vocabularies, track alignments, handle padding/truncation. Integrates seamlessly with transformers. Use when you need high-performance tokenization or custom tokenizer training.

faiss

★ 11

by firecrawl

Facebook's library for efficient similarity search and clustering of dense vectors. Supports billions of vectors, GPU acceleration, and various index types (Flat, IVF, HNSW). Use for fast k-NN search, large-scale vector retrieval, or when you need pure similarity search without metadata. Best for high-performance applications.

ray-train

★ 11

by firecrawl

Distributed training orchestration across clusters. Scales PyTorch/TensorFlow/HuggingFace from laptop to 1000s of nodes. Built-in hyperparameter tuning with Ray Tune, fault tolerance, elastic scaling. Use when training massive models across multiple machines or running distributed hyperparameter sweeps.

sentencepiece

★ 11

by firecrawl

Language-independent tokenizer treating text as raw Unicode. Supports BPE and Unigram algorithms. Fast (50k sentences/sec), lightweight (6MB memory), deterministic vocabulary. Used by T5, ALBERT, XLNet, mBART. Train on raw text without pre-tokenization. Use when you need multilingual support, CJK languages, or reproducible tokenization.

nanogpt

★ 11

by firecrawl

Educational GPT implementation in ~300 lines. Reproduces GPT-2 (124M) on OpenWebText. Clean, hackable code for learning transformers. By Andrej Karpathy. Perfect for understanding GPT architecture from scratch. Train on Shakespeare (CPU) or OpenWebText (multi-GPU).

filesystem-agents

★ 9

by vercel

Companion skill for the Building Filesystem Agents course on Vercel Academy. Use when the user mentions "filesystem agents", "the course", "teach me", or asks about ToolLoopAgent, Vercel Sandbox, or bash tools in the context of the Academy course.

vercel-react-best-practices

★ 8

by vercel

React and Next.js performance optimization guidelines from Vercel Engineering. This skill should be used when writing, reviewing, or refactoring React/Next.js code to ensure optimal performance patterns. Triggers on tasks involving React components, Next.js pages, data fetching, bundle optimization, or performance improvements.

omni-content-explorer

★ 6

by exploreomni

Find, browse, and organize content in Omni Analytics — dashboards, workbooks, folders, and labels — using the REST API. Use this skill whenever someone wants to find an existing dashboard, search for content, list workbooks, browse folders, see what dashboards exist, find popular reports, download a dashboard as PDF or PNG, favorite content, manage labels on documents, or any variant of "find the dashboard about", "what reports do we have", "show me our dashboards", "where is the sales report",

omni-content-builder

★ 6

by exploreomni

Create, update, and manage Omni Analytics documents and dashboards programmatically — document lifecycle, tiles, visualizations, filters, and layouts — using the REST API. Use this skill whenever someone wants to build a dashboard, create a workbook, add tiles or charts, configure dashboard filters, update an existing dashboard's model, set up a KPI view, create visualizations, lay out a dashboard, create a document, rename a workbook, delete a dashboard, move a document to a folder, duplicate a