Agent Skills Hub

plan-down

Method-driven planning workflow that intelligently decomposes tasks into structured plan.md files using zen-mcp tools, adapting to user clarity and automation needs.

temporal

Automate the migration of Netflix Conductor workflows to Temporal Python, including server orchestration, worker management, and workflow troubleshooting.

readme-updater

Automatically keeps README files synced with codebase changes including dependencies, new features, and configuration updates.

auto-trading-strategy

Professional trading strategy and risk management toolkit for prediction markets and crypto, featuring trend analysis, position sizing, and stop-loss frameworks.

spec-to-code-compliance

Verifies blockchain smart contract code against technical specifications, whitepapers, and design documents to ensure exact implementation compliance.

bdg

A terminal-based Chrome DevTools Protocol client designed for AI agents. Provides direct, session-persistent control over browser navigation, DOM manipulation, scraping, and network inspection.

ui-design

A specialized tool for generating single-file HTML user interfaces with integrated Tailwind CSS, perfect for rapid prototyping, UI exploration, and design inspiration.

claude-opus-4-5-migration

Migrate your codebase, prompts, and API calls from Claude Sonnet 4.0/4.5 or Opus 4.1 to the advanced Opus 4.5 model with automated configuration adjustments.

python

Python coding assistant providing best practices, PEP 8 enforcement, automated testing with pytest, and dependency management using uv.

six-thinking-hats

Apply the Six Thinking Hats methodology to software testing for structured, comprehensive quality analysis, test strategy design, and team discussions.

deep-research

A systematic, multi-angle web research agent. Use for deep investigation, complex queries, and as a mandatory pre-research step before content generation to ensure evidence-backed, high-quality results.

scholar-evaluation

Systematically evaluate scholarly work using the ScholarEval framework, providing structured, quantitative, and qualitative assessment across research quality dimensions with actionable feedback.