Agent Skills Hub

orchestrate

Multi-phase feature development workflow for complex tasks using research, planning, implementation, and review gates.

model-registry-maintainer

Maintain and update the MassGen model registry, including backend capabilities, model metadata, pricing structures, and context window configurations for new and existing AI models.

backend-development

Build, optimize, and maintain production-ready backend systems using Node.js, Python, Go, and Rust. Includes API design, database management, security, and DevOps best practices.

git-advanced-workflows

Master advanced Git workflows including rebasing, cherry-picking, bisect, worktrees, and reflog to maintain clean history and recover from repository issues.

mintlify

Maintain Mintlify documentation sites: configure navigation, manage MDX content, add components, and handle API references.

mutation-test

Run mutation testing to measure test suite effectiveness by introducing code faults and verifying test failure detection.

encore-testing

Unit and integration test your Encore.ts backend applications using Vitest, including support for isolated test databases and service mocking.

qc

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

analysis-phase

Validates cross-artifact consistency (spec, plan, tasks) and detects breaking changes (API, DB, UI) during software feature development.

taskery

Generate comprehensive instructions for AI agents to operate the Taskery local Kanban board, including CLI, API, and concurrency management.

issue-resolver

Automated GitHub issue analysis, triage, and resolution planning tool integrated with Specification Driven Development (SDD) workflows.

parallel-agents

Orchestrate complex workflows by coordinating multiple specialized AI agents for multi-perspective code analysis, feature implementation, and system-wide reviews.