Browse Skills

A practical, jargon-free guide to fp-ts functional programming - the 80/20 approach that gets results without the academic overhead. Use when writing TypeScript with fp-ts library.

Automatically fetch latest library/framework documentation for Claude Code via Context7 API

Azure Weights & Biases SDK for .NET. ML experiment tracking and model management via Azure Marketplace. Use for creating W&B instances, managing SSO, marketplace integration, and ML observability.

Scientific research and analysis skills

Analyze market conditions, geographic opportunities, pricing, consumer behavior, and product validation across Google Maps, Facebook, Instagram, Booking.com, and TripAdvisor.

This skill should be used when the user asks to "create AGENTS.md", "update AGENTS.md", "maintain agent docs", "set up CLAUDE.md", or needs to keep agent instructions concise. Enforces research-backed best practices for minimal, high-signal agent documentation.

Multi-cycle diagnostic pipeline: profile → research → optimize → repeat with full-stack bottleneck analysis

Competitive benchmarks, solution research, and hypothesis generation for identified bottlenecks

Research standards/patterns via MCP Ref. Generates Standards Research for Story Technical Notes subsection. Reusable worker.

Research best practices via MCP Ref/Context7/WebSearch and create documentation (guide/manual/ADR/research). Single research, multiple output types.

CREATE/REPLAN Stories for Epic (5-10 Stories). Multi-epic routing: auto-groups Stories by correct Epic. Delegates ln-001 for standards research. Self-Check phase.

RICE prioritization per Story with market research. Generates consolidated prioritization table in docs/market/[epic-slug]/prioritization.md.