Ai skills

This skill helps you configure Ralph loop session guidance by loading constraint scans, selecting forbidden and encouraged items, and writing validated

This skill discovers project constraints by running five parallel agents to map degrees of freedom and guide safe development.

This skill resets Minecraft bot state after death, restoring health and position for quick recovery and continued gameplay.

This skill enables high-accuracy web research with Parallel.ai, returning rich excerpts and citations to power AI agents.

This skill helps you manage coding sessions by suggesting strategic context compaction at logical boundaries, preserving work continuity and reducing

This skill generates high-quality images using ModelScope's Z-Image model via the Zimage API, streamlining prompt-to-image creation.

This skill helps you design and implement scalable event-driven systems using patterns like event sourcing, CQRS, and message-driven communication.

This skill helps you implement production-grade GitOps workflows with ArgoCD and Flux for declarative, multi-environment Kubernetes deployments.

This skill labels a Minecraft coordinate with a named waypoint for easy navigation and spatial reasoning across sessions.

This skill captures and persists valuable work-session patterns to the learning directory for future reuse, improving speed and consistency across projects.

This skill helps you implement scalable Terraform infrastructure by applying module design, state management, security, and testing best practices across

This skill coordinates adversarial multi-perspective team brainstorms to deeply explore ideas, surface risks, and deliver comprehensive insights for

This skill helps transform ideas into fully formed designs through collaborative dialogue and phased validation.

This skill helps you master TypeScript advanced patterns to build type-safe APIs, complex domain models, and reusable libraries with compile-time guarantees.

This skill performs AI-powered PR reviews with inline comments, acceptance criteria verification, and optional fix-and-verify loops to streamline governance.

This skill generates structured phase-based implementation prompts using an orchestrator pattern and saves them to docs/prompts for subagent delegation.

This skill automates EARS generation from PRD documents, validates readiness, categorizes requirements, and ensures BDD-ready coverage for downstream artifacts.

This skill filters a collection by applying natural-language predicates to each item using an LLM, returning items that match.

This skill automatically applies fixes to PRD documents based on latest review reports, improving structure, links, IDs, and content iteratively.

This skill reduces token count in prompts, docs, and prose while preserving meaning, improving LLM context and readability.

This skill inspects Minecraft inventory state, returning all slots and equipped items in both human-readable text and machine-readable data.