Agent Skills Hub

security-hardening

Comprehensive security audit and hardening for AI agents: credential scanning, PII protection, prompt injection defense, and workspace config optimization.

test-sync

Maintain test suite health by automatically detecting orphaned tests, missing coverage, and implementation-coupled anti-patterns.

readme

Generate absurdly thorough, professional README.md files for any project, covering local development, system architecture, and deployment instructions.

hf-mcp

Connect your AI agent to the Hugging Face Hub via MCP. Search models, datasets, and papers, manage repos, run cloud compute jobs, and invoke Gradio Spaces as functional AI tools.

risk-based-testing

Focus testing effort on highest-risk areas using risk assessment and prioritization. Use when planning test strategy, allocating resources, or making coverage decisions.

rt.safety.auditor

Analyze C++ code for real-time safety violations including heap allocations, locks, blocking calls, and non-deterministic operations in high-performance audio threads.

juliaz-tool-builder

Expert guidance for designing and implementing high-quality tool schemas and descriptions for Julia's agent systems, ensuring reliable tool execution and reducing model hallucinations.

test-reporting-analytics

Advanced QE reporting, quality dashboards, and predictive analytics for test metrics, code coverage, and deployment readiness to drive data-informed quality decisions.

mcp-prompts

An intelligent development orchestration skill that provides self-improving code analysis, build error diagnosis, and automated workflow configuration via mcp-prompts integration.

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.

interaction-design

Design and implement microinteractions, motion design, and transitions. Use to add UI polish, define loading states, and create delightful, intuitive user feedback patterns.

work-logs-knowledge-log

Outputs knowledge logs capturing project structure, implicit rules, and logic gaps during sessions.