Browse Skills

suggest

USE FOR query autocomplete/suggestions. Fast (<100ms). Returns suggested queries as user types. Supports rich suggestions with entity info. Typo-resilient.

querysuggestsuggestions

@jason

Agent SkillData & Analytics

vercel-doctor

Find ways to cut your Vercel bill. Run after making changes to catch cost-heavy patterns early in Next.js projects.

next.jsdoctorvercel-doctor

@liamchen

Agent SkillData & Analytics

Use this skill any time a spreadsheet file is the primary input or output. This means any task where the user wants to: open, read, edit, or fix an existing .xlsx, .xlsm, .csv, or .tsv file (e.g., adding columns, computing formulas, formatting, charting, cleaning messy data); create a new spreadsheet from scratch or from other data sources; or convert between tabular file formats. Trigger especially when the user references a spreadsheet file by name or path — even casually (like \"the xlsx in my downloads\") — and wants something done to it or produced from it. Also trigger for cleaning or restructuring messy tabular data files (malformed rows, misplaced headers, junk data) into proper spreadsheets. The deliverable must be a spreadsheet file. Do NOT trigger when the primary deliverable is a Word document, HTML report, standalone Python script, database pipeline, or Google Sheets API integration, even if tabular data is involved.

datapipelinespreadsheet

@jason

Agent SkillData & Analytics

mongodb-query-optimizer

Help with MongoDB query optimization and indexing. Use only when the user asks for optimization or performance: "How do I optimize this query?", "How do I index this?", "Why is this query slow?", "Can you fix my slow queries?", "What are the slow queries on my cluster?", etc. Do not invoke for general MongoDB query writing unless user asks for performance or index help. Prefer indexing as optimization strategy. Use MongoDB MCP when available.

querywritingmongodb

@jason

Agent SkillData & Analytics

neon-postgres-branches

Choose and create the right Neon branch type for testing and development. Use when users ask about Neon branching, migration testing with real data, isolated test environments, schema-only branch workflows for sensitive data, or branch creation via Neon CLI or Neon MCP. Triggers include "Neon branch", "test migrations safely", "branch production data", "schema-only branch", "reset branch" and "sensitive data testing".

databranchneon

@jason

Agent SkillData & Analytics

saas-economics-efficiency-metrics

Evaluate SaaS unit economics and capital efficiency. Use when deciding whether the business can scale efficiently or needs correction.

metricssaas-economics-efficiency-metricsbusiness

@jason

Agent SkillData & Analytics

landing-report

Read-only queue dashboard for workspace-aware ship. (gstack)

dashboardreportlanding-report

@jason

Agent SkillData & Analytics

schema

When the user wants to add, fix, or optimize schema markup and structured data on their site. Also use when the user mentions "schema markup," "structured data," "JSON-LD," "rich snippets," "schema.org," "FAQ schema," "product schema," "review schema," "breadcrumb schema," "Google rich results," "knowledge panel," "star ratings in search," or "add structured data." Use this whenever someone wants their pages to show enhanced results in Google. For broader SEO issues, see seo-audit. For AI search optimization, see ai-seo.

schemaauditdata

@jason

Agent SkillData & Analytics

convert-file

Convert any data file to another format: CSV, Parquet, JSON, Excel, GeoJSON, and more. Use when the user says "convert to parquet", "save as xlsx", "export as JSON", "make this a CSV", "turn into parquet", or any variation of format-to-format conversion for data files. Also triggers when the user wants to write Parquet, Excel, or other binary formats that Claude cannot produce natively.

csvdataparquet

@jason

Agent SkillData & Analytics

netlify-blobs

Guide for using Netlify Blobs for file and asset storage — images, documents, uploads, exports, cached binary artifacts. Covers getStore(), CRUD operations, metadata, listing, deploy-scoped vs site-scoped stores, and local development. Do NOT use Blobs as a dynamic data store — use Netlify Database for that.

datadatabaselisting

@jason

Agent SkillData & Analytics

qdrant-scaling-query-volume

Guides Qdrant query volume scaling. Use when someone asks 'query returns too many results', 'scroll performance', 'large limit values', 'paginating search results', 'fetching many vectors', or 'high cardinality results'.

queryqdrant-scaling-query-volumeresults

@jason

Agent SkillData & Analytics

chdb-datastore

Use when the user has tabular data (pandas DataFrame, parquet, csv, Arrow, json) and wants to filter, group, aggregate, join, or speed up slow pandas. Provides chDB DataStore — same pandas API, ClickHouse engine underneath. Also handles reading from S3, MySQL, PostgreSQL, MongoDB, ClickHouse Cloud, Iceberg, Delta Lake as DataFrames and joining across sources. TRIGGER when: user mentions DataFrame, parquet, csv, "fast pandas", "speed up pandas", or cross-source DataFrame joins; user imports `chdb.datastore` or `from datastore import DataStore`. SKIP this skill for raw SQL syntax (use chdb-sql instead), ClickHouse server administration, or non-Python DataStore API work.

pandasapicsv

@jason