Agent Skills Hub

fuzzing-dictionary

Enhance fuzzer effectiveness by providing domain-specific tokens, magic bytes, and protocol-specific keywords to reach deep code paths.

qcc-git

Git workflow and branch management tool for the qcc_plus project, enforcing standardized commit conventions and secure deployment processes.

yt-dlp-downloader

Download videos from YouTube, Twitter, Bilibili, and thousands of sites using yt-dlp. Supports audio extraction, subtitle downloading, and format selection.

plotly

Interactive Python graphing library for 40+ chart types, scientific visualizations, statistical analysis, and web dashboards using Plotly Express and Graph Objects.

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.

spec-to-code-compliance

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

semgrep-rule-creator

Create, test, and validate custom Semgrep rules for security vulnerabilities and code pattern detection.

maestro

Intelligent RAG-based gateway that routes coding tasks to specialized Swift/iOS expertise without context window bloat. Uses MCP to retrieve precise patterns from 100+ indexed skills.

integrating-stripe-webhooks

Resolve Stripe webhook 'Raw body' and signature verification errors with framework-specific implementations for Fastify, Express, and FastAPI, plus fixes for common TypeScript subscription data mapping issues.

skill-reinforcement

An automated meta-learning skill that improves agent workflows by capturing patterns, failures, and shortcuts after each task execution.

Agent Communication Debugger

Diagnose and debug Agent-to-Agent (A2A) communication, including orchestrator routing, transport connectivity, agent status, and log analysis for multi-agent systems.

codebase-inspection

Analyze codebase statistics: LOC, language distribution, and code-to-comment ratios using pygount.