Add PostHog Product Analysis Events
instrument-product-analytics
Add PostHog product analysis events to track user behavior.
131 skills in force: 64 OpenAI, 23 Google, 20 Microsoft, 7 Neon, 3 Docker, 2 Stripe, 2 Firebase (Google), 2 Cloudflare, 2 Sentry, 2 Shopify, 1 Supabase, 1 MongoDB, 1 Hugging Face, 1 dbt Labs. What is a skill?
instrument-product-analytics
Add PostHog product analysis events to track user behavior.
instrument-metrics
Add PostHog metric capture to track meters, gauges and histograms.
analyzing-ai-citations
Answer questions about AI references and Optimization of Response Engines (AEO) in PostHog: if the AI response engines (-) (-) (-) (-) (-) (-) (-) (-) (-) (-) (-) (-) (-) (-) (-) (-) (-) (-) (-) (-) (-) (-) (-) (-) (-) (-) (-) (-) (-) (-) (-) (-) (-) (-) (-) (-) (-) (-) (-) (-) (-) (-) Use when the user asks "are we cited by AI?", "who invites us never to quote?
diagnosing-experiment-health
Performs diagnostics and a health check on a PostHog experience: its configuration, exposures, results and changes during the race.
diagnosing-ci-and-merge-bottlenecks
Diagnosis CI and the demand for a health pipeline for a GitHub repo with engineering analysis tools Use when you are asked if CI becomes faster or slower, what kind of GitHub Actions work flow is slow or failing, how long do PR take from opening to merging, which open PR failed or waiting for a CI, where a draw request is blocked, what cost a failed test, which team has the most flakiest tests, or this cost of CI for a PR or workflow.Triggers on "engineering analysis", "ICR becomes slower", "low workflow", "ICR is low", "merger time", "cycle time", " Renewal flow", "fail controls", "where is stuck PR<n>"The long pole of IC", "The cost of IC".
signals-scout-customer-analytics-billing-and-usage
Signals detect the movement Charles's products by account.
signals-scout-product-analytics
Signal detectors for commodity analysis streams — funnels, retention, life cycle, tights and paths.
signals-scout-anomaly-detection
The scouting of the signals that overcome the anomalies in the project's saved ideas — bursts, falls, flat lines and trend breaks.
signals-scout-mcp-tool-calls
Signal Detector for PostHog tool calls Timepieces for tools that need improvement — wide range failure rates, back to action, slow or contextual responses — grouped by proprietary product category, each with a fixed suggestion.
turning-engineering-analytics-into-insights
Transforms engineering analysis data (PR and CI) into saved PostHog information, dashboards and subscriptions, and explains how to query data with SQL.
investigate-metric
Diagnose why a product metric has changed (strap, piqué or flat) by orchestrating breakdowns, actors, paths, life cycle, resonon requests and annotations.
reviewing-warehouse-suggestions
PostHog reviews warehouse suggestions with one person and acts on them.
exploring-llm-costs
Study LLM's PostHog spending — total cost over time, cost per model, supplier, user, trace or custom dimension, token economy and hit cache, and cost regression.
signals-scout-revenue-analytics
View signals for PostHog revenue analysis.
creating-ai-subscription
Create a PostHog report generated by AI, program a free text request to run on a cron, with the LLM-synthesized markup delivered to email, Slack, or Microsoft Teams on each tick.
migrating-from-fivetran
Move an user's Fivetran connectors to PostHog data warehouse sources.
signals-scout-first-report
It is performed once after the activation of a self-driving vehicle to find a product and a product warehouse that does not lack one and presents a product and a warehouse.
google-cloud-solution-agentic-analytics-spark-knowledge-catalog
A governed, end-to-end synthetic analytical solution around Knowledge Catalog and Apache Spark (Lightning Engine) managed service.
authoring-insight-alerts
The author's insight warns when an SQL or funnel insight crosses a boundary, changes strongly or appears abnormal.
accessibility-and-inclusive-visualization
Make the visualization of data accessible and inclusive.
product-business-analysis
Analyze product or business data to support a decision or recommendation.
analyze-data-quality
Assess whether structured data, query results, dashboards or analytical evidence are reliable enough to be used.
earnings-preview
Use when preparing full pre-remuneration reports with executive summary, wait bar, guidance credibility, KPI dashboard, script, K0, and appeal questions.
neon-ai-gateway
It can be used to call proprietary or open language and embeddings models via a single API and a single Neon identifier, integrated into the project branch and supported by Databricks.
ngs-bcl-to-fastq
Validate Illumina BCL execute files and sample sheets, demultiplexing plan, review index/UMI/lane choices, perform BCL-to-FASTQ conversion, and interpret demux metrics while facing license/download limits.
neon-postgres
Serves to work the Neon Postgres (Lakebase): a `DATABASE_URL` already there, SQL, schema, inspection or search.
index
Requests for Route Data Analytics plugin and large-scale analysis work at the right targeted workflow.
create-data-context
Create, update, inspect or repair data analytics semantic layers.
neon-functions
Neon Functions deploys long-lasting HTTP Node.js functions on a Neon branch, with a public HTTPS URL, a calculation in the same region as the base, and automatic injection of DATABASE URL if the branch has Postgres.
metric-pack-designer
Design custom measurement packages for the plugin-eval so that teams can add local evaluation guidelines that issue schema checks and measurements.
metric-diagnostics
Diagnose why a metric has changed or differs from the wait.
testing-data-visualizations
Visualization of test data and dashboards.
comps-valuation
Producing Public Equity Invest the comparable assessment of the company in a report or manual mode.
earnings-deep-dive
Use to analyze the revenues of public corporations after the results, advice, transcripts or comments of appeals.
bigquery-ai-ml
When the analysis is to be done in SQL in BigQuery, with the already integrated learning and generative AI functions, this skill helps choose the right function: time series prediction, value prediction, detection of anomalies or ruptures, search for key factors, semantic or vector search, text classification, similarity, summary, translation, model evaluation, semantic filters, causal effect of intervention, correlations, descriptive statistics and distribution patterns, trend or seasonality.
design-kpis
Develop PKI frameworks, metric definitions, targets, guardrails and measurement plans for product or business decisions.
jupyter-notebooks
Create, edit or validate reproducible SQL or Python notebooks.
setting-up-a-data-warehouse-source
Guide the user by connecting a new data warehouse source, including databases, SaaS tools and bucket files.
publish-artifact-to-sites
Publish a validated Data Analytics report or dashboard artifact across sites.
kpi-reporting
Prepare readings of the TKPC, scorecards, WBR/MBR/QBR updates and executive summaries based on quantitative measures of companies or products; use when reporting status, comparing with targets, explaining validated pilots, and indicating operational implications.
gather-business-context
Collect the business context from connected or provided sources so that the announcement Downstream analysis begins with the right framework.
physical-ai-neural-reconstruction
Router for NVIDIA NuRec/NRE: USDZ rendering, NCore conversion, 3DGS, gRPC sim sensor, PhysicalAI HF data sets.
scrna-seq-qc
Process, control, annotate and visualize single cell or mononucleate RNA-seq data sets on a tissue and species scale.
visualization-strategy-and-critique
Choose, expose, criticize and explain data visualizations.
suggesting-data-imports
Use when requesting revenue, payments, subscriptions, billing, CRM offers, support tickets, advertising expenses, production database tables, bucket Having a file or local file downloads.
syncing-migrated-self-managed-tables
Enable synchronization for warehouse tables that PostHog Conseil has moved from self-managed tables to managed sources (Amazon S3, Google Cloud Storage, Azure Blob, Cloudflare R2 or File Download).
portfolio-risk-management
Use the size of public equity investment positions, the search for equity hedges or the development of an integrated risk plan in positions and hedges based on a thesis rated in shares.
threejs-data-visualization
Fast data visualization by Render WebGL with three.js, WebGL raw, deck.gl, luma.gl, PixiJS, Sigma.js, Plotly WebGL traces, ECharts GL, CesiumJS, Babylon.js, or related GPU libraries.
visualize-data
Design, build, revise, or AQ charts and quantitative figures.
statistical-and-uncertainty-visualization
Develop statistically honest and uncertain visualizations.
neon
Presents Neon as a set of primitive backgrounds around Lakebase Postgres: authentication, object storage, functions, AI gateway and real-time queries, all instantaneous, plug-in and server-free.
neon-postgres-agent-platforms
Used to design and operate a platform of agents or creators of multi-lease applications on Neon.
managing-subscriptions
Create and manage PostHog subscriptions programmed for insightful snapshots, dashboard snapshots and AI quick reports.
stripe-directory
Identify providers, merchants, organizations, platforms, API or services, and find out how to pay, make a donation, subscribe, book, provide or integrate.
stripe-projects
Stripe Projects provides third party services (bases, authentication, hosting, cache, analytics, IA, observability) via a CLI Stripe plugin and retrieves the keys.
signals-scout-workflows
Signal detector for PostHog workflows.
firebase-firestore
The skill installs, interrogates and configures Cloud Firestore databases (Standard or Enterprise editions): modeling, security rules, index, and SDK (Web, Admin, Python, iOS, Android, Fluter).
dbt-sf-to-bq-translator
Translation of dbt SQL models written for Snowflake into a normalized BigQuery SQL.
neon-auth
To add authentication to a new application, with Neon Auth (better Auth managed): login, users and sessions that connect with the database, ID routing, registration, reset, OTP e-mail, magical links, organizations, OTP phone, OAuth, OAuth server for MCP or third party clients, access keys, MFA and trust domains.
filtering-bot-traffic
Identify, measure and exclude bot / ramper / AI agent traffic in PostHog web and product analysis using traffic classification surface (isLikelyBot / getTraffic functionsHogQL type and $virt * virtual properties).
basin
Builds and troubleshoots basic analytical streams (Pipelines, Catalog, SQL): streaming data to Iceberg tables on R2, catalog management, queries.
k2
Cloudflare K2 (and K2 Streams) is a sustainable newspaper designed to decouple producers and consumers from events.
bigquery-udfs
To create, deploy or troubleshoot an user-defined function or a remote function in BigQuery, this skill helps choose the right type: SQL UDF (scalar or model), JavaScript UDF, Python UDF (with or without connection), or remote function exposed by Cloud Run Endpoint.
querying-canvas-data
Get PostHog data into a canvas correctly: the host-injected Use every time a canvas displays metrics, graphs, tables, or PostHog data, or GitHub or server data, or send analytical events.
managed-airflow-recommendations
The Apache Airflow managed service (MSAA, formerly Cloud Composer) has here a guide of recommendations: creation, configuration, setting, dimensioning, health of the system, and ways to avoid load restarts.
bigquery-migration-sql-translator
This skill relies on the BigQuery migration service (BQMS) and its MCP server to translate queries, DDL schematics and procedures stored from inherited dialects — Teradata, Oracle, Redshift, Snowflake, SparkSQL, HiveQL — to BigQuery's GoogleSQL.
creating-an-endpoint
Create a PostHog parameter with the correct form at the first Act — covers the choice of query type, name conventions, what to expose as variables (hogQL name code vs ABOUT insight ventilation), data freshness seconds, and the opportunity to materialize on the first day.
diagnosing-endpoint-performance
Diagnose why a PostHog parameter is slow or expensive and propose a concrete correction: hit the TTL cache, activate theearliest materialization, restructure the variables or rewrite the query.
working-with-autoresearch
Use PostHog Autoresearch, predictive models driven by agents: ask "who will do X in the next few days N?", let an agent form a model, then mark people every day in a person's property and events Use when an user wants to predict churn, activity, return, functionality adoption, conversion or any event or action per person; create or validate a model from a model; start training or scoring now; read the quality of the model (beyond the CSA achieved, lifting, calibration, probability segments, coverage); leading training with suggestions; acting on predictions with cohorts, feature flags, workflows or SQL; or diagnosing a model that does not form, score everyone or lodge.Trigger on "self-search", "predictive model", "propensity score", "head prediction", "susceptible to convert", "which will make X", "predicted p", "self-research prediction", "realization of the CSA", "champion model".
auditing-warehouse-view-health
Verify the health of the materialized views of a PostHog project (recorded issues) — find each missed materialization and report unused or materialized views that cost storage and calculation.
analyzing-funnel-correlation
Find the features of equipment development for equipment development.
google-cloud-solution-agentic-ai-data-science-workflow
Designing an "agentic" multi-product data science architecture on Google Cloud, with already defined practices: analytical or learning based on agents, not a simple batch pipeline.
setting-up-a-custom-rest-source
Connect an arbitrary REST to the PostHog data warehouse as a custom source by creating a JSON manifest, without code by source.
tuning-incremental-sync-config
Change the synchronization configuration of an existing Data Remote Software — switch sync type, choose a different incremental field field, set primary key columns, choose cdc table mode, or change sync frequency.
google-cloud-solution-agentic-ai-borderless-data-lakehouse
Design of an open "borderless" lakehouse, based on Lakehouse for Apache Iceberg and BigQuery data agents: multi-cloud storage (Cloud Storage, Amazon S3, Azure Blob), ingestion, d'IA service subsystems, Cross-Cloud Interconnect, and deployment of agents on Gemini Enterprise Agent Platform.
google-cloud-solution-hybrid-search-alloydb
Design of a hybrid, semantic and keyword search system, typically on AlloyDB: vector search combined with structured SQL filters, facets, semantic reordering, validation of AI in the base, or serverless hosting in front of a transactional base, warehouse or managed engine.
datalineage-bigquery-asset-impact-analysis
When a BigQuery table or view is broken, out of date, or is being considered for modification, deletion or suspension of updates, this skill evaluates the downstream impact radius: tables, dashboards and dependent processes.
bigquery-basics
Input point to interact with BigQuery: run SQL, manage datasets, tables and views, launch jobs, or do first-level ingestion and analysis.
bigtable-basics
Provision of Bigtable instances and tables, design of high performance schemas (line keys, column families), SQL queries or client code (Java, Go, Python), and diagnosis of performance or hot spots.
spanner-basics
Provision of Spanner instances and databases, design of high performance schemas, and queries — SQL or client libraries.
cloud-sql-basics
Creating and explaining SQL Cloud instances and databases for MySQL, PostgreSQL or SQL Server.
alloydb-basics
AlloyDB administration for PostgreSQL: clusters, instances, backups, and, if applicable, MCP AlloyDB tools to automate operations.
bigquery-bigframes
As soon as a Python data task touches BigQuery—preparation, analysis or learning—this skill is the default path: it generates BigQuery DataFrames (BigFrames) code, along with the practices of d-API and a machine learning pane, including an ML legacy reported as such.
cloud-databases-onboarding
Discovery of needs, recommendation of a Google Cloud engine from a matrix, then help with creation, according to a plan-valid-execution scheme.
bigquery-troubleshooting
When a job is broken, failed, too slow or too expensive, this skill leads to a diagnosis of cause: symptoms, goulets of the execution graph and the stages of the plan, overall performance, or unexpectedly expensive load (requests on demand, autoscaling slots, storage growth).
managed-airflow-dag-troubleshooting
When a DAG execution or task instance fails in the Airflow managed service, this skill performs a deterministic diagnosis, based on facts (newspapers, code, state), via gcloud composing, logging and storage, rather than vague advice.
managed-airflow-dag-authoring
To create or extend a DAG in the Airflow managed service, this skill starts with the context: target environment, access, development station, and, if requested, environmental inspection.
managed-airflow-migrations
This skill carries the DAG code of an MSAA environment (or a local copy) to Airflow 2.11.1 (generations 2 and 3 of the service) or to Airflow 3 (generation 3).
bigquery-optimization
Workflows to improve a BigQuery environment: capacity planning and editing, reservation rights, choice between logical and physical storage, partitioning and clustering, partition life cycle and expiration, DDL tables, migration of a non-partitioned table, setting of an SQL query, and evaluation of acceleration structures (search index, materialized views, BI Engine).
datalineage-summary
When you want to understand where and where data from a BigQuery or Cloud Storage asset goes, this skill runs through the lineage graph (Knowledge catalogue, MCP server) upstream and downstream, at the table or column level, and then tells it in a readable Markdown report, from left to right, without drowning the player under nodes and links.
signals-scout-customer-analytics
Signal Scout for PostHog Client Analysis (Accounts).
analyzing-offline-evaluations
Inspect and compare out-of-line AI assessment experiments, diagnose case-level regressions and track the history of scorers at application, model or rapid change scale.
checking-member-access
Explains what a member or role can do in a PostHog project, using the access control tools Use when the user asks what someone can see or change, who can change dashboards or flags, why a member can or can't open a dashboard, notebook or table, what a role grants, what properties are hidden from someone, or how default project access is defined.
azure-kusto
This skill is used for the query of Azure Data Explorer (Kusto/ADX) in KQL: writing and executing KQL queries for log analytics, telemetry, time series, IoT telemetry, or detection of anomalies.
firebase-data-connect
The skill builds and deploys a Firebase SQL Connect backend (also known as Firebase Data Connect) on PostgreSQL in a secure way: schematics and relationships, authorized requests and mutations, real-time updates, and generation of typed SDK.
modeling-revenue-metrics
Build reuscase revenue models — MRR, ARR, gross revenue,Fileup/contraction/churn, ARPU, LTV and revenue per client and account — either on PostHog (HogQL) data storage views or on an external dbt project.
modeling-product-usage-metrics
Build reusable product use and commitment models — retention, colliability and life cycle — on PostHog (HogQL) data storage views or on an external dbt project.
modeling-dimension-tables
Build reusable dimension / search tables for a star scheme — country/ Cohesion, time zone, currency, date, Rather, plan/product and other descriptive attributes — on PostHog (HogQL) data storage views or an external dbt project.
managing-streamlit-apps
Create, deploy, and operate Streamlit applications in PostHog via streamlit-apps tools - create an application, set its source, read and correct its code, start and stop its sandbox, survey status, list versions, delete and share the application with humans via its PostHog URL.
azure-storage
Covers Azure Storage services: Blob, File Shares, Queue, Table and Data Lake.
docker-compose-patterns
Provides rules to create, modify or diagnose a Docker Composite configuration (compose.yaml or compose.override.yaml): services, health checks, order of dependencies, volumes, networks, environment variables and development overloads.
docker-project-foundations
Guides the initial implementation of a project with Docker: Dockerfile, composing.yaml and .dockerignore, favouring containerized dependencies rather than installations on the host machine.
django-perf-review
This skill rereads the Django code for validated performance problems: N+1, unbounded quizzes, missing indexes, writing loops, and, at a lower level, some ineffective patterns.
creating-experiments
Guide agents by creating experiences: read the configuration of the project with the setup-context experience, define the hypothesis, configure deployment and bucket, set up analysis and operating time, and report the choices that are guessed.
exploring-mcp-tool-usage
Starting point to explore how the tools of a PostHog server are used, K0-K — directs a general question to the typed tool that answers it.
setting-up-warehouse-properties
Populate person or group properties from a data warehouse table or materialized view, so warehouse columns become properties usable in characteristic flags, cohorts and ideas.
docker-sandboxes-env
The `sbxenv.yaml` file (schemaVersion "1", still experimental) declaratively describes a Docker Sandboxes environment: agent, kits, mounts, arguments, variables, secrets, registers, links, MCP servers, ports and host commands `lifecycle:`.
copying-endpoints-across-projects
Copy a PostHog parameter (a saved HogQL/insight query exposed as a route to another project in the same organization, or reproduce it under a new name in the same project.
creating-box-plot-insights
Creates product analysis or box diagram information with SQL support in PostHog.
exploring-autocapture-events
Guide the exploration of $autocapture events captured by posthog-js to understand user interactions, Scan for CSS selectors (especially data-attr attributes), evaluate the uniqueness of the selector, request corresponding ad-hoc clicks, and create actions.
formatting-insight-axes
Choose the appropriate y-axis unit when creating or updating a preview via Use when the agent is about to add a
managing-path-cleaning-rules
Inspects URL paths and offers, tests, controls and applies path cleaning rules at the project level so that dynamic segments (digital ID, UUIDs, slugs, dates) collapse into readable aliases.
modeling-activation-metrics
Build reusable activation models—a metric with activation rate and an activated flag embossed per user/account—on PostHog (HogQL Executive) data storage views or an external dbt project.
modeling-conversion-metrics
Build reusable conversion models — funnel/step conversion rate, stall and conversion time — on PostHog (HogQL) data storage views or on an external dbt project.
suggesting-path-cleaning-rules
Runs and explains AI's automated health control that suggests path cleaning rules for web analytics teams.
auditing-warehouse-source-health
Check the health of PostHog data warehouse sources and synchronizations – find every broken or degraded source connection, sync schema and webhook channel.
vercel-connect
Vercel Connect guide to secure limited OAuth tokens for third-party services (Slack, GitHub, MCP, OAuth, Snowflake) on behalf of applications or users via OIDC Vercel.
postgres-best-practices
Gathers best practices Postgres independent from the supplier: schema design, indexing, query optimization, migrations and frequent traps.
azure-kusto-graph
Allows you to build and interrogate Kusto graphs from a natural language application: transient graphs (make-graph), persistent models and snapshots, pattern matching (graph-match), shorter paths, related components and graph-to-table export.
azure-kusto-irql-graph
Applies IRQL graph functions to KQL or IRQL query results, for viewing in Kusto Explorer: mappings Lift To Graph, Graph Render View views, property folding, and enrichments Extract Node * / Enrich Graph *.
supabase-postgres-best-practices
Collects the best Postgres practices maintained by Supabase, valid for a Postgres hosted anywhere, not just on Supabase.
azure-cosmos-rust
The Azure Cosmos DB library for Rust (API NoSQL) covers the CRUD of documents, containers and possibly distributed data, around CosmosClient and the hierarchy documented by the skill.
azure-cosmos-py
The SDK Azure Cosmos DB for Python (API NoSQL) manages documents, queries, containers and possibly distributed data.
azure-cosmos-db-py
Skills to implement an Azure Cosmos DB NoSQL Python service, with FastAPI, according to production level schemes.
azure-storage-file-datalake-py
The SDK Azure Data Lake Storage Gen2 for Python is working on a hierarchical file system, designed for analysis and file/directory operations.
azure-data-tables-py
The SDK Azure Tables for Python targets key-value NoSQL storage, both on Azure Storage Tables and on the API Cosmos DB Table.
supabase-postgres-best-practices
Collects Postgres performance optimization practices maintained by Supabase.
supabase
Used for any task involving Supabase.
ncbi-entrez-skill
This skill questions the E-Utilities NCBI Enter for PubMed, Gene, Protein, Nucleotide, PMC metadata and GEO feeds, in compact format.
chatgpt-app-submission
Used to inspect the code of an MCP server of ChatGPT and to produce a `chatgpt-app-submission.json`: suggestions for app information, justifications for tool indices, test cases and negative test cases, and then report the review findings and warnings `outputSchema`.
declarative-agent-developer
Creates, assembles, deploys, and locates reporting agents for M365 Copilot and Teams: scaffolding, editing demonstrations, adding capabilities or plugins.
managing-endpoint-versions
Work safely with end versions — preview Eventually a draft in the playground, return to an older version, update settings on a version without overwriting query history, disable a specific version.
document-api-endpoint
Used to document and type an endpoint of: API Sentry decorators `@extend_schema`, TypedResponse dict, parameter typing, correction of lag between declared schema and actual response, validation of specification, up to possible promotion in the public.
shopify-custom-data
Must be used first when an application mentions metafields or meta objects.
posthog
Used to analyze product data and drive PostHog tools.
mixpanelyst
Used when interrogating Mixpanel product analytics: events, funnels, retention curves, cohorts, segmentation, user behavior, conversion rate, attrition, DAU/MAU, ARPU, income metrics, adoption of a feature, A/B test results, user path, or any request to interrogate, explore, visualize or analyze mixedpanel Python data.
dashboard-expert
Covers the life cycle and analysis of the Mixpanel dashboards: reading and understanding an existing array, creating, modifying, and annotated explanation from the data.
airtable-overview
Explains what Airtable is and how data are structured: bases, tables, fields, records, views, automations and interfaces.
airtable-filters
Used to find, filter or circumscribe Airtable records according to field values, even when the word "filter" is not pronounced.
airtable-cli
To list databases, read and write records, manage tables and fields, filter and search for Airtable data, via the `airtable-mcp` CLI.
mongodb-mcp-setup
Guides the configuration of the MCP MongoDB server's essential options once installed.
figma-generate-diagram
Mandatory prerequisite before any call to the generic diagram tool: the SKILL.md prohibits calling directly without loading this skill.
eqtl-catalogue-skill
This skill questions the eQTL catalogue of the EBI for associations and metadata, in compact format, while treating the API as fragile upstream.
encode-skill
This skill questions the ENCODE project's ENCODE project for objects and portal searches, in a compact summary.
ncbi-datasets-skill
This skill questions the Calls go through the dedicated A typical example is a A short Markdown driven from the output of the script is returned; the JSON or raw file is kept only if requested.
pharmgkb-skill
This skill questions the API PharmGKB for genes, variants, clinical annotations, dosage recommendations and research, in compact format.
quickgo-skill
This skill questions QuickGO for Gene Ontology terms, annotations and an ontology journey, with a concise Markdown summary.
rnacentral-skill
This skill questions the API RNAcentral to browse through RNA entries, consult one, or read cross-references in compact format.
locus-to-gene-mapper-skill
To match GWAS loci to rated candidate genes, via a deterministic chain of several skills (EFO, then GWAS, then co-ordinated, then Open Targets L2G and room, then eQTL, then context of burden or coding), with reproducible tables and optional figures.
exploring-live-traffic
Inspects PostHog Web analytics Online tab data — current online users, last 30 minute page views, top of page, referents, devices, browsers, country, robot traffic, and bot/user graphics per minute.
azure-resource-manager-redis-dotnet
SDK Azure Resource Manager for Redis in .NET, reserved for the management plan: create and administer Azure Cache for Redis instances, firewall rules, access keys, patch plans, linked servers (georeplication) and private termination points.
azure-resource-manager-mysql-dotnet
The SDK Azure.ResourceManager.MySql for .NET administers Azure Database for MySQL Flexible Server: server creation, databases, firewall rules, configurations, backups and high availability, on the management plan.
azure-resource-manager-postgresql-dotnet
The SDK Azure.ResourceManager.PostgreSql for .NET administers Azure Database for PostgreSQL Flexible Server on the management plan: server creation, databases, firewall rules, configurations, backups and high availability.
azure-resource-manager-sql-dotnet
This skill relates to the Azure SQL control plan in .NET, via `Azure.ResourceManager.Sql`.
azure-resource-manager-cosmosdb-dotnet
The source text describes the control plan Azure Cosmos DB in .NET, via `Azure.ResourceManager.CosmosDB`.
signals
How to consult the document table empedd dementia for raw signal data using HogQL.
huggingface-datasets
The skills are used for Hub Dataset Viewer streams: metadata of subsets and cuttings, pagination of lines, text search, filters, download of parquet URLs, sizes and statistics.
azure-data-tables-java
The source text describes the SDK Java Azure Tables.
azure-cosmos-ts
The source text describes the Azure Cosmos DB data plan in JavaScript, via `@azure/cosmos` and `CosmosClient`.
ncbi-clinicaltables-skill
This skill questions the Clinical Tables CNBI Gene for a search for human genes, with pagination and choice of fields, in compact format close to self-completion.
vercel-storage
Expert guide on Vercel storage: Blob, Edge Config, and Market Place storage (Neon Postgres, Upstash Redis).
alphafold-skill
This skill questions the API of AlphaFold database for prediction, UniProt or sequence summary, and annotations, in compact format.
bgee-skill
Serves to submit compact SPARQL queries to Bgee, for wild, healthy expression metadata and research schemes that take into account ontology.
bindingdb-skill
Serves to submit compact REST queries to BindingDB, for a ligand-target link search by PDB, UniProt, or a match search.
biorxiv-skill
This skill questions the Calls go through Typical path are We distinguish bioRxiv and medRxiv in the path, other than merge them.
biostudies-arrayexpress-skill
This skill questions the API BioStudies and ArrayExpress for free text search or recovery of a study by ID.
cbioportal-skill
This skill questions the API cBioPortal for studies, profiles and mutation recovery, in a compact summary.
cellxgene-skill
This skill questions the API CELLxGENE Discover for public metadata of a collection or game, in a compact summary.
chebi-skill
This skill questions ChEBI for chemical entities, in compact format.
chembl-skill
This skill questions the API ChEMBL for activities, molecules, targets, mechanisms and text search, remaining compact.
civic-skill
Used to submit compact GraphQL requests to CIViC, to inspect the interpretation scheme of a cancer variant, and recover targeted evidence.
clinicaltrials-skill
This skill questions the API ClinicalTrials.gov v2 to search for studies or inspect the model of the API, in compact format.
clinvar-variation-skill
This skill questions ClinVar (Clinical Tables) and NCBI variation services for a search, or a VCV, RCV, SCV or RefSNP consultation, in compact format.
epigraphdb-skill
This skill questions the API EpiGraphDB for links between traits, genes and medicines, in compact format — for example, ontological correspondence GWAS-EFO, or gene-related medicines.
genebass-gene-burden-skill
This skill questions Genebass for a gene load summary (PheWAS), based on an Ensembl ID and a call load set.
gnomad-graphql-skill
To submit compact GraphQL requests to gnomAD, for a frequency, gene constraint, and a context of variation.
hmdb-skill
To submit compact research requests to HMDB for metabolites, proteins, diseases and pathways.
ipd-skill
Serves to submit compact REST requests to IPD, for HLA allele metadata and at the cell level, via the public IPD query the API.
gwas-catalog-skill
This skill questions the GWAS catalogue's GWAS catalogue for studies and associations, in a compact summary.
pride-skill
This skill questions the PRIDE archive for proteomics projects, in compact format.
ensembl-skill
This skill questions the API REST of Ensembl for object consultations, genomic overlaps, cross correspondence and variations, in compact format.
eva-skill
Serves to submit compact REST requests to EVA, for species metadata and consultation of archived variants.
human-protein-atlas-skill
This skill questions the Human Protein Atlas for a JSON gene, a downloadable search, or a fabric or line page, in compact format.
metabolights-skill
This skill questions MetaboLights to discover studies and read metabolomics metadata in the form of a compact summary.
mgnify-skill
This skill questions the API MGnify for studies, samples and metadata of biomes in compact format.
opentargets-skill
To submit compact GraphQL requests to the Open Targets platform, for data of target, disease, drug, variant, study and research, including heat matrices of associated disease data sources.
proteomexchange-skill
This skill questions ProteomeXchange's ProteomeXchange's proteomics games, identifiers and spectra examples in compact format.
pubchem-pug-skill
This skill questions PubChem via PUG REST for compound properties, descriptions, test summaries and substance metadata.
rcsb-pdb-skill
This skill questions the RCSB PDB for core metadata, searches via the API Search, and FASTA downloads in compact format.
reactome-skill
This skill questions the ContentService Reactome for tracks, events and their participants, in compact format.
rhea-skill
Used to submit compact search queries to Rhea for biochemical reactions and reaction identifiers.
string-skill
This skill questions the API STRING for protein interaction networks and partners, in a compact summary.
uniprot-skill
This skill questions UniProt for UniProtKB, UniRef, UniParc, and FASTA streams in compact format.
supabase-postgres-best-practices
Collect, in the OpenAI Build Web Apps plugin, Postgres optimization practices maintained by Supabase.
ai-generation-persistence
Describes the patterns of persistence of generations of AI: unique identifiers, addressable URLs, base storage, and cost tracking, for each generation of a language model.
efo-ontology-skill
This skill questions OLS4 for the Experimental Factor Ontology: research, consultation of a term, children and descendants, in a compact summary.
azure-postgres-ts
This skill is about connecting to Azure Database for PostgreSQL Flexible Server from Node.js or TypeScript, with the `pg` package (node-postgres).
ncbi-blast-skill
To submit, interrogate and summarize BLAST NCBI work, via the API Common URL (Blast.cgi), for a nucleotide or protein sequence.
ncbi-pmc-skill
This skill questions NCBI PMC Open Access to find out if an article or its files are available in a compact format.
azure-cosmos-java
The SDK Azure Cosmos DB for Java is for NoSQL operations, with global distribution, multi-model support and reactive schematics.
kql
Brings expertise from the Kusto Query Language to write correct and effective queries.
gtex-eqtl-skill
Used to obtain GTEx monotissular eQTL associations, from a variable entry, by accepting an RsID, an RCMPh37 or RCMPh38 entry, and by resolving them to the RCMPh38 request required by the API GTEx v2.
biobankjapan-phewas-skill
Used to obtain compact PheWAS summaries from BioBank Japan, for a single variant, by accepting an RsID, an RCMPh38 or RCMPh37 input, and resolving them to the required RCMPh37 request.
finngen-phewas-skill
Used to obtain compact FinnGen PheWAS summaries, for one variant, by accepting an RsID, an RCMPh37 or RCMPh38 input, and resolving them to the required RCMPh38 request.
tpmi-phewas-skill
Used to obtain compact TPMI PheWAS summaries, for one variant, by accepting an RsID, an RCMPh37 or RCMPh38 input, and resolving them to the required RCMPh38 request.
ukb-topmed-phewas-skill
Used to obtain compact PheWAS summaries from UKB-TOPMed, for a single variant, by accepting an RsID, an RCMPh37 or RCMPh38 input, and resolving them to the required RCMPh38 request.
shopify-liquid
Guide to writing Shopify themes in Liquid, open source template language created by Shopify, which loads the dynamic content of showcases.
shopify-custom-data
It is first opened as soon as metafields (metafields) or metaobjects are mentioned.
omnibus-instrument-product-analytics
Add PostHog product analysis events to track user behavior.
omnibus-instrument-llm-analytics
Add PostHog LLM analytics to track the use of the AI model.
llm-analytics-setup
PostHog LLM analysis decisionmaking for all supported providers
tools-and-features-hogql
HogQL queries for PostHog scan
configuring-dbt-mcp-server
To produce the JSON configuration of the The server connects the wizard to the dbt CLI, Semantic Layer, the You start by choosing a local server (development stream, CLI access, typically via The tokens do not log, display, and ever s.
Skills from the openai/skills repository, impaired to openai/plugins.
jupyter-notebook
Create or modify Jupyter (.ipynb) notebooks for experiments, explorations or tutorials, from supplied templates and from a script that generates a clean notebook.