query-examples

Name: query-examples
Author: posthog

github.com/posthogData & databases7641 installsUpdated 1d ago

About query-examples

A reference skill for querying data in PostHog, aimed at people building analytics queries. It organizes schema guidance, HogQL references, and examples spanning product analytics, sessions, errors, logs, and LLM traces.

Key features

01PostHog data schema reference
02HogQL function guidance
03Analytics query examples
04Examples across product and session data
05Error, log, and LLM trace queries

Use cases

01Building user trend or funnel queries
02Analyzing retention and user paths
03Querying session recordings and logs
04Exploring LLM generations and traces

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/posthog/skills --skill query-examples

After installing, type/query-examplesin Claude Code to confirm it loaded.

Bundled files

References and scripts installed along with SKILL.md.

references/

available-functions.md

example-error-tracking.md

example-event-taxonomy.md

example-funnel-breakdown.md

example-funnel-trends.md

example-lifecycle.md

example-llm-trace.md

example-llm-traces-list.md

example-logs.md

example-paths.md

example-person-property-taxonomy.md

example-retention.md

example-session-replay.md

example-sessions.md

example-stickiness.md

example-team-taxonomy.md

example-trends-breakdowns.md

example-trends-unique-users.md

example-web-overview.md

example-web-path-stats.md

example-web-traffic-by-device-type.md

example-web-traffic-channels.md

guidelines.md

hogql-extensions.md

models-actions.md

models-activity-logs.md

models-alerts.md

models-annotations.md

models-batch-exports.md

models-cohorts.md

Details

From the project README

Querying data in PostHog

If the MCP server haven't provided instructions on querying data in PostHog, read the guidelines.

Data Schema

Schema reference for PostHog's core system models, organized by domain:

Activity logs
Actions
Alerts
Annotations
Batch exports
Early Access Features
Cohorts & Persons
Dashboards, Tiles & Insights
Data Warehouse
Data Modeling Endpoints
Error Tracking
Flags & Experiments
Hog Flows
Hog Functions
Integrations
Logs
Notebooks
Session Recording Playlists
Session Recordings
Support Tickets
Surveys
Usage Metrics
SQL Variables
Skipped events in the read-data-schema tool
Dynamic person and event properties — patterns like $survey_dismissed/{id}, $feature/{key} that don't appear in tool results

HogQL References

Person property modes (event-time vs query-time). Read when working with person.properties.* to understand if values are historical or current.
Sparkline, SemVer, Session replays, Actions, Translation, HTML tags and links, Text effects, and more
SQL variables.
Available functions in HogQL. IMPORTANT: the list is long, so read data using bash commands like grep.

Analytics Query Examples

Use the examples below to create optimized analytical queries.

Comments

Markdown supported

Details

Author: posthog
Repository: posthog/skills
Category: Data & databases
Installs: 41
GitHub stars: 76

Report

More skills

All skills

hyperframes-core

github.com/heygen-com

930.7k

The HyperFrames composition contract — build one renderable project. Use for composition structure, the `data-*` timing attributes, `class="clip"`, tracks, sub-compositions, variables, framework-owned media playback, deterministic-render rules, and validation. Also covers Tailwind projects and the STORYBOARD.md / SCRIPT.md plan formats. Read before writing composition HTML.

lark-base

open.feishu.cn

830.7k

Operate on Feishu Base: create tables, fields, records, and views; handle statistics, formulas/lookups, forms, dashboards, app mode (BaseApp/AppMode pages and components), Workspace directories, workflows, role permissions, and the template center (Base template categories, lists, and search). Use when encountering Base/multidimensional tables/bitable, BaseApp/AppMode, or /base/ or /app/ links. Do not use lark-apps for BaseApp; route file import/export to lark-drive and authentication/authorization to lark-shared.

lark-sheets

open.feishu.cn

829.3k

Feishu Spreadsheets: create and operate spreadsheets. Supports worksheets and row/column structures (add/delete/merge/size/hide/freeze/group), cell read/write (values/formulas/styles/comments/cell images), range copy/move/sort/fill, find and replace, bulk updates, and creating and maintaining objects such as charts, pivot tables, conditional formatting, filters and filter views, dropdown lists, sparklines, and floating images. Also supports formula validation, restoring historical versions, and importing/exporting local Excel/CSV files and Feishu spreadsheets. Use when users need to create or edit spreadsheets, summarize and visualize data, format spreadsheets, calculate formulas (including migrating Excel formulas), or build financial models (DCF, three statements, budgets, Sensitivity, etc.). For multidimensional tables (Base/bitable), use lark-base. If users want to search for spreadsheet files in cloud storage (Drive/cloud storage) by name or keyword, use lark-drive's drive +search to locate resources first. When users provide a doubao.com /sheets/ URL/token, use this skill directly; do not fall back to WebFetch because the domain is not Feishu. Routing is based on the URL path pattern and token, not the domain.

remotion-best-practices

github.com/remotion-dev

708.9k

Best practices and domain knowledge for building videos programmatically with Remotion (videos in React/TypeScript, rendered to MP4). Use whenever writing or editing Remotion code — scaffolding a video project, animating with interpolate/spring over useCurrentFrame(), sequencing scenes and transitions, captions/subtitles, audio, GIFs/Lottie/3D, charts, visual effects, dynamic duration via calculateMetadata, or rendering. Consult before reaching for a Remotion API, since its components and props evolve (e.g. @remotion/media).