Excel Spreadsheets
Create and edit spreadsheets with explicit assumptions, consistent formulas, formatting and recalculation checks.
These skills help an agent retrieve, transform, and reason about structured data. Members cover SQL and jq, Excel, analytics attribution, market datasets, forecasting, Laravel data, and notebook work.
15 skillsCreate and edit spreadsheets with explicit assumptions, consistent formulas, formatting and recalculation checks.
Design tracking plans, event names, conversion definitions and validation checks.
Access Surf market, on-chain, news and project data through ClawRouter.
Analyze a user's Plannotator plan archive to extract denial patterns, feedback taxonomy, evolution over time, and actionable prompt improvements — then produce a polished HTML dashboard report. Falls back to Claude Code ExitPlanMode denial reasons when Plannotator data is unavailable.
Query prediction markets, cross-venue odds and wallet analytics through ClawRouter.
Plan hypotheses, variants, sample size and guardrail metrics for growth experiments.
Attach a factual employer sponsorship signal from configured data to US-role evaluations.
Compare attribution approaches, reconcile data sources and plan first-party conversion attribution.
tools skill for Claude AI. Grade A. Data engineering agent for ETL pipelines, data warehousing, and analytics
Audit statistical reporting across methods, results and figure legends, including replication, uncertainty and multiple comparisons.
code-quality skill for Claude AI. Grade A. Apply this skill whenever writing, reviewing, or refactoring Laravel PHP code. This includes creating or modifying controllers, models, migrations, form requests, policies, jobs, scheduled commands, service classes, and Eloquent queries. Triggers for N+1 and query performance issues, caching strategies, authorization and security patterns, validation, error handling, queue and job configuration, route definitions, and architectural decisions. Also use for Laravel code reviews and refactoring ...
Work in a live marimo notebook kernel and persist reproducible Python notebook changes.
Forecast univariate time series with Google TimesFM, including uncertainty estimates and optional covariates.
Use when the user needs to query, filter, reshape, extract, create, or construct JSON data — including API responses, config files, log output, or any structured data — or when helping the user write or debug JSON transformations.
Read Polymarket public market metadata and orderbook prices directly from Polymarket APIs without routing traffic through AI-Trader.
Use SQL or jq for extraction, notebook or spreadsheet entries for exploration, and experiment or forecast skills when the analysis needs a defined method.