Agent Skills Hub

auth-patterns

Implement secure backend authentication (JWT, OAuth, Sessions) and authorization (RBAC, ABAC) patterns, including password hashing, MFA, and security best practices.

reflect-appworld-failure

Analyze AppWorld task failures to extract specific API patterns and generate actionable playbook bullets with concrete code examples.

fuzzing-dictionary

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

acceptance-testing

Plan, implement, and execute user acceptance tests (UAT) and end-to-end scenarios to validate requirements against user-visible behavior.

verify

Self-healing Rust verification loop that automates test execution, clippy linting, and formatting checks.

qc

Automated quality gate using 5 parallel AI agents to review code changes for correctness, style, and consistency.

debugging-strategies

Language-agnostic debugging framework: scientific method, stack trace analysis, logging strategies, and advanced techniques like Git bisect and rubber ducking.

code-review-netsync

Automated code review for STYLY-NetSync, enforcing protocol parity, thread safety, and Unity C#/Python conventions.

libafl

A modular Rust-based fuzzing library for creating custom fuzzers, advanced mutation strategies, and research-grade vulnerability testing.

creating-opencode-agents

Expert guidance and configuration standards for creating specialized OpenCode AI agents, including YAML frontmatter, tool permissions, and operational modes.

tavily-web

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

using-superpowers

The foundational skill for the Superpowers methodology. Ensures agents correctly identify and invoke required development skills before starting any task or conversation.