Agent Skills Hub

hash

A Zod schema generation and validation rule set for the HASH intelligent database ecosystem to ensure type safety and data integrity.

pattern-detection

Analyze and identify codebase patterns (naming, architecture, testing) to maintain consistency and enforce standards during development.

svelte-code-writer

CLI tools for Svelte 5 documentation lookup and code analysis. Automate Svelte component creation, debugging, and linting with real-time documentation retrieval and code autofixing.

tavily-web

Advanced web search, content extraction, and site crawling capabilities using the Tavily API, optimized for AI agent research and data gathering.

margin-management

Monitor and manage margin-living strategy by tracking balances, interest costs, and coverage ratios. Provides automated scaling recommendations and safety alerts based on portfolio-to-margin thresholds.

constant-time-testing

Detects timing side channels in cryptographic code to prevent secret data leakage. Essential for auditing sensitive implementations.

speckit-workflow

A constitution-driven, spec-first development workflow for Claude Code and Codex, automating feature planning, implementation, and quality assurance through structured agentic loops.

structured-code-review

Performs a structured five-stage code review covering requirements, correctness, code quality, testing, and security. Provides actionable, categorized feedback (Blocker/Major/Minor/Nit) to improve PR quality.

testing-anti-patterns

Enforce high-quality testing practices by identifying and preventing common anti-patterns like mock-testing, test-only production code, and incomplete dependency mocking.

upstash-vector-db-skills

Upstash Vector DB setup, semantic search, namespaces, and embedding models. Ideal for building high-performance vector search features in Next.js 16/Vercel projects.

interface-design

Interface design guidance for utilitarian apps, focusing on dashboards, admin panels, and data-heavy UIs using a component-library-first approach.

ReasoningBank with AgentDB

Implement ReasoningBank adaptive learning with AgentDB's ultra-fast vector backend. Features trajectory tracking, verdict judgment, memory distillation, and pattern recognition for self-learning autonomous agents.