Discover and install specialized agent skills from the open ecosystem when users need extended capabilities. Helps identify relevant skills by domain and task when users ask "how do I do X" or "find a skill for X" Provides npx skills find [query] command to search interactively and npx skills add <package> to install from GitHub or other sources Recommends skills based on install count (prefer 1K+), source reputation (official sources like Vercel, Anthropic), and GitHub stars to ensure quality Checks the skills.sh leaderboard first for battle-tested, popular options before running CLI searches

Relentless interviewing skill that stress-tests plans and designs through systematic questioning. Conducts deep-dive questioning across all aspects of a plan, walking through decision trees branch-by-branch until shared understanding is reached Automatically explores the codebase to answer questions where code context is available, reducing redundant back-and-forth Designed for design reviews, architecture validation, and pre-implementation planning where thorough vetting prevents downstream issues

Relentless design interrogation that stress-tests plans against your domain model and sharpens terminology inline. Explores your codebase to ground discussions in existing code, glossaries (CONTEXT.md), and architectural decisions (ADRs) Challenges fuzzy language, resolves terminology conflicts, and updates your domain glossary as decisions crystallize Tests design decisions against concrete scenarios to expose edge cases and boundary violations Creates or updates CONTEXT.md and ADRs only when warranted, keeping documentation lean and decision-focused

Analyze codebases for architectural friction and propose module-deepening refactors as testability improvements. Explores codebases organically to surface shallow modules, tightly-coupled components, and untested seams rather than following rigid heuristics Applies John Ousterhout's "deep module" principle: small interfaces hiding large implementations for better testability and AI navigability Generates multiple radically different interface designs (minimalist, flexible, caller-optimized, ports & adapters) via parallel sub-agents, then recommends the strongest approach Creates GitHub issue RFCs documenting the problem space, design trade-offs, and refactoring rationale