Agent Skills Hub

mod-actions

A comprehensive moderation toolkit for Civitai, providing automated user management, strike systems, image review, content regulation, and CSAM reporting via tRPC API.

context-driven-testing

Apply context-driven testing principles to adapt testing strategies based on project goals, risks, and constraints rather than relying on universal best practices.

codex

Delegates coding tasks to the OpenAI Codex CLI for features, refactoring, PR reviews, and automated issue fixing within Git repositories.

claude-review

Review Hyperlane documentation changes against project standards, ensuring compliance with architectural patterns and content guidelines.

code-auditing

A systematic code auditing framework for identifying technical debt, security vulnerabilities, dead code, and code quality issues in software projects.

dev-cycle

Interactive development workflow manager. Coordinates discovery, planning, review, and build phases using a specialized team of AI agents (Scout, Bob, Garry, Arlo) for consistent project delivery.

subagents-orchestration-guide

Orchestrates multi-agent development workflows, managing task decomposition, requirement analysis, and quality assurance for complex software projects.

orchestration-patterns

Framework for orchestrating long-running agentic tasks, evidence-based delivery, and automated QA gates following Simon Willison's iterative loop.

issue-triage-report

Generate triage reports and analyze feature area health for the Windows App SDK repository. Identify high-priority issues, triage backlogs, and team focus areas.

session-logs

Search, analyze, and audit GeminiClaw session logs and memory. Use to investigate past interactions, track token usage, debug tool calls, and monitor agent performance.

bdg

A terminal-based Chrome DevTools Protocol client designed for AI agents. Provides direct, session-persistent control over browser navigation, DOM manipulation, scraping, and network inspection.

mutation-testing

Validate test suite effectiveness and uncover weak assertions by introducing code mutations and measuring kill rates. Essential for proving tests genuinely catch bugs rather than just satisfying coverage metrics.