Claude Code Skill for writing testable Next.js applications. Provides guidance for testing App Router, RSC, Server Actions, Route Handlers, and middleware with minimal test deltas and stability tactics.
AI-DLC (AI-Driven Development Life Cycle) — an adaptive, three-phase software development workflow (Inception → Construction → Operations) with built-in approval gates, audit trail, and optional security/property-based-testing extensions. Originally published by AWS Labs as steering rules; repackaged here as a Claude…
Execution-first delivery pipeline: brainstorm, plan, decompose into proof-carrying tasks, implement, end-user test, and audit — end-user testing is the only PASS, no mocks, executed evidence over assertion. 18 skills: functional validation, full functional audit, validation planning with cumulative proof obligations…
AI Forging — a structured AI-assisted development framework for producing robust, maintainable codebases. Test-first, pattern-driven refactoring, and domain-driven architecture, installed as a set of conventions + a prescriptive setup flow.
Podium — the mobile + canvas automation MCP for AI agents: iOS & Android control, native UI automation, Maestro E2E, React Native debugging, and a no-vision canvas/WebGL brain that taps game UIs like DOM elements — for Claude Code.
Local-first LLM branching, debugging & context offloading. Treat AI context windows like a Git repo — capture, branch, regression-test LLM calls as a DAG, and archive context as encrypted, restorable capsules. Teaches Claude when and how to drive ForkMind.
JSON-driven E2E browser test runner — no JavaScript test files needed. Parallel execution against a Chrome pool (browserless, CDP, Lightpanda, Obscura, Steel), 28+ built-in actions, visual verification, network debugging, flaky test detection, reusable modules, and a real-time dashboard. Includes 3 specialized agents.
Drive a running React Native or Expo app from inside its JS runtime: semantic UI perception with source locations, actions without coordinates, structured assertions, deterministic time and network, and correlated session export.
Hostile audit toolkit for Claude Code: adversarial review, security, tests, docs, architecture, reliability and agent-enforcement audits, with a bundled MCP server.
Right-sized code, verified before it ships. Risk-tiered engineering judgment for AI coding agents: convention detection, blast-radius tiers, mandatory verification, and a scannable logbook for deliberate shortcuts.
Universal E2E and manual acceptance testing for any repo: test-init generates project test plans (TESTSE2E.md, TESTSMANUAL.md), test-e2e executes them autonomously, test-manual conducts them with you at the controls. Every run writes a timestamped protocol file.
Verification gate for AI work — one run file, one independent validator, evidence-gated close. CLI-only transport via the anchored binary over Bash, no MCP. Slash commands: /a:run /a:setup.
Generate and manage Maestro test flows for mobile (Android, iOS) and web apps. Covers React Native, Expo, Flutter, Swift, Kotlin, Jetpack Compose, SwiftUI, UIKit, Capacitor, Ionic, and web desktop testing.
Automated hook-driven test framework generator for Claude Code projects. Scaffolds complete test infrastructure including commands, hooks, runner scripts, and test definitions into target projects.
Generate ADE-Bench benchmark tasks from your own dbt project. Scans your models, proposes realistic bug-injection scenarios, and writes the task scaffolding (config, patches, scripts, custom assertion tests) ready to run against AI agents.
Engineering & Claude-coding craft skills (diagnose, tdd, prototype, zoom-out, grill-with-docs, improve-codebase-architecture, to-issues, to-prd) adapted from mattpocock/skills (MIT) to the bootstrap conventions and the AFK/HITL model, plus homegrown skills (checkpoint).
The senior dev, unbundled. A cast of opinionated skills that make an AI agent push back on bad ideas, verify before it claims done, attack its own code, and finish like a senior engineer.
Claude Code plugin for Python development with Pyright LSP integration, 15 automated hooks for type checking, linting (ruff), formatting (black), testing (pytest), and security scanning.