Agent Skills Hub

log-focus-debug

Focus debug skill for DashPlayer: isolates log chains, injects temporary focus markers ([FOCUS:token]), and ensures clean removal of debug artifacts after task completion.

ralph-tui-create-beads

Converts PRDs into structured task beads for autonomous execution with ralph-tui, including quality gates and dependency management.

competitive-analysis

Framework for building professional competitive landscape decks, including market positioning, peer benchmarking, and strategic synthesis for finance professionals.

data-visualization

Create professional data visualizations with Python using matplotlib, seaborn, and plotly. Includes chart selection guidance, design principles, accessibility standards, and code patterns for publication-quality figures.

technical-audit

Technical SEO audit skill for crawlability, indexability, and Core Web Vitals analysis. Use to audit webpages, validate schema, and fix technical performance issues.

mcporter

A command-line tool to list, configure, authenticate, call, and inspect Model Context Protocol (MCP) servers via HTTP or stdio.

troubleshooting-docs

Automates the documentation of solved technical issues using YAML frontmatter, categorized directories, and institutional knowledge indexing for JUCE plugin development.

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.

tamagui-best-practices

Tamagui library best practices for architecture, configuration, compiler optimization, and component patterns.

plugin-testing

Manual testing suite for JUCE audio plugins. Features automated test execution, pluginval validation (strictness 10), and structured DAW testing checklists for stability and quality assurance.

rust-daily

Fetch and aggregate latest Rust community news, including official blog updates, ecosystem developments, and Rust Foundation reports.

tweet-rl-tracker

A Notion-based tracking system for tweet performance to enable data-driven content experimentation using reinforcement learning principles.