Agent Skills Hub

yc-advisor

Access Y Combinator’s library of 443+ startup resources for expert advice on fundraising, co-founders, product development, growth, and scaling your business.

spec

Create structured specifications for platform changes including GitHub issues, SDD templates, and automated type inference for infrastructure and security.

google-ads-scripts

Expert guidance for Google Ads Script development including AdsApp API, campaign management, keyword bidding, automated rules, performance reporting, and spend optimization.

startup-business-analyst-business-case

Generate comprehensive, investor-ready business cases for startups, including market analysis, financial modeling, competitive positioning, and funding strategies.

test-data-management

Strategic test data generation, management, and privacy compliance for scalable, secure, and realistic quality engineering workflows.

tavily-tools

Unified Python CLI for Tavily AI operations including web search, URL extraction, site crawling, link mapping, and automated deep research reports.

dev-cycle

Interactive development workflow manager. Coordinates discovery, planning, review, and build phases using a specialized team of AI agents (Scout, Bob, Garry, Arlo) for consistent project delivery.

deep-research

A systematic, multi-angle web research agent. Use for deep investigation, complex queries, and as a mandatory pre-research step before content generation to ensure evidence-backed, high-quality results.

spec-to-checklist

Convert PRDs, API docs, and requirements into structured acceptance, testing, integration, and launch checklists.

single-cell-rna-qc

Automated single-cell RNA-seq quality control pipeline following scverse best practices. Performs MAD-based outlier detection, cell filtering, and diagnostic visualization for .h5ad and .h5 datasets.

perf-analyzer

Synthesize performance profiling data into actionable recommendations and evidence-backed technical decisions.

scikit-learn

Classical machine learning with scikit-learn. Use for classification, regression, clustering, dimensionality reduction, preprocessing, model evaluation, and building robust ML pipelines in Python.