Skill UI

Handles chunked, compressed N-D arrays in Python for cloud-friendly workflows; integrates seamlessly with NumPy, Dask, and Xarray to enable parallel I/O, sharding, and persistence to S3/GCS for large-scale scientific pipelines.

Apify Actorization is a process that transforms existing, standalone software or scripts (like CLI tools) into standardized, reusable serverless applications called Actors. Actors are packaged as Docker images, accepting structured JSON inputs and producing structured JSON outputs. This skill guides developers on migrating projects to the Apify platform, ensuring compatibility, and enabling scalable, event-driven data processing pipelines.

A powerful tool designed to generate pragmatic CI/CD pipelines by analyzing a project's actual stack (language, runtime, tooling) from its repository files. It automates the creation of foundational pipelines (lint, test, build, deploy) for platforms like GitHub Actions and GitLab CI, ensuring the baseline is reproducible and aligned with existing lockfiles. Ideal for bootstrapping new repositories or migrating existing, brittle pipeline definitions.

Documents how to build autonomous Claude Code loops, covering sequential pipelines, NanoClaw REPL, infinite multi-agent deployments, RFC-based DAG orchestration, and PR-driven CI cycles so teams can run persistent, quality-gated development workflows without babysitting.

Guides static reviews of GitHub Actions workflows that invoke AI coding agents, teaching how to find workflow files, trace composite actions, capture security-relevant settings, and detect attacker-controlled data paths to agents in CI/CD pipelines.

Coordinated workflow for researching, planning, executing, and tracking major feature development across a four-phase pipeline, with subcommands for research, implementation, progress, phased work, and status reporting.

Executes end-to-end content creation for B2B SaaS, developer tools, and technical audiences, moving from topic to publish-ready piece via guided research, drafting, and optimization modes.

Provides revenue leadership playbooks for B2B SaaS CROs, covering forecasting, pipeline health, pricing, NRR/GRR cohorts, and team scaling to design predictable, board-ready revenue engines.

Guides developers to author, edit, and validate `.eas/workflows/*.yml` files for Expo projects, ensuring CI/CD pipelines, triggers, and jobs align with the latest schema and automation needs.

Showcases fp-ts TaskEither for clean async pipelines, wrapping fetch calls and API orchestration without nested try/catch while keeping error context in TypeScript services.

Quick fp-ts reference outlining how to use pipe for transforming specific values and flow for creating reusable transformation pipelines, with examples covering Option and Array utilities for chained data processing.

Quick reference for fp-ts TaskEither that walks through creation, transformation, execution, and common patterns so you can compose typed error-handling pipelines around async API calls and Promise workflows.