Agent Skills Hub

implement-feature

Guide for implementing features using architecture-first design, TDD, rich domain models, and Swift 6.2 patterns, ensuring a clean separation between Domain, Infrastructure, and App layers.

debugging

Standardized debugging and diagnostic guidelines for AI coding agents.

x-trends

Search and analyze X (Twitter) trends, hashtags, and tweet data by location using custom CLI tools.

qcc-git

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

dyad:swarm-pr-review

Collaborative PR review using a swarm of three specialized AI agents (Correctness, Health, UX) that discuss findings and reach consensus before posting a structured summary with inline comments.

ruzzy

Coverage-guided fuzzer for Ruby code and C extensions, powered by libFuzzer and address sanitizers to detect memory corruption and undefined behavior.

openai-whisper

Local speech-to-text transcription using the OpenAI Whisper CLI, providing private, high-accuracy audio processing without external API keys.

kill-claude-mem

Kills stale claude-mem worker and MCP server processes to recover RAM and improve performance in memory-constrained environments like GitHub Codespaces.

swiftui-expert-skill

Expert SwiftUI development assistant: refactor code, improve performance, and diagnose app hitches or CPU issues using Xcode Instruments trace analysis.

devboxes

Deploy isolated development containers with web-accessible VSCode, VNC, and automated app routing via Traefik or Cloudflare Tunnels.

synapse-a2a

Framework for multi-agent collaboration using the Google A2A protocol. Enables messaging, task delegation, and cross-agent coordination for CLI-based AI tools.

evidence-first-debugging

Enforces a strict evidence-based debugging workflow using structured observation, hypothesis testing, and causality validation to eliminate speculation in technical investigations.