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Found 88 Skills
Run OpenAI's Codex CLI agent in non-interactive mode using `codex exec`. Use when delegating coding tasks to Codex, running Codex in scripts/automation, or when needing a second agent to work on a task in parallel.
Write effective AGENTS.md files that give coding agents the context they need to work in a repository. Use when creating a new AGENTS.md, improving an existing one, setting up a repo for AI coding agents, or onboarding agents to a codebase. Triggers on: "write AGENTS.md", "create AGENTS.md", "agent instructions", "set up repo for agents", "configure coding agent", "onboard agent to codebase", "agent context file".
Control and operate Opencode via slash commands. Use this skill to manage sessions, select models, switch agents (plan/build), and coordinate coding through Opencode.
Universal principles for agentic development when collaborating with AI agents. Defines divide-and-conquer, context management, abstraction level selection, and an automation philosophy. Applicable to all AI coding tools.
Manage AI coding agents on a visual Kanban board. Run parallel agents through a To Do→In Progress→Review→Done flow with automatic git worktree isolation and GitHub PR creation.
Integration patterns for Mapbox MCP DevKit Server in AI coding assistants. Covers setup, style management, token management, validation workflows, and documentation access through MCP. Use when building Mapbox applications with AI coding assistance.
Battle-tested testing best practices for AI coding assistants (40+ rules). Use when writing, reviewing, or generating tests. Covers test structure, data factories, assertions, mocking, DOM testing, and database testing. Works with Vitest, Jest, Playwright, Testing Library, Storybook, and more.
Head-to-head comparison of coding agents (Claude Code, Aider, Codex, etc.) on custom tasks with pass rate, cost, time, and consistency metrics
Fast web browsing and web app testing for AI coding agents via persistent headless Chromium daemon. Browse any URL, read page content, click elements, fill forms, run JavaScript, take screenshots, inspect CSS/DOM, capture console/network logs, and more. Ideal for verifying local dev servers, testing UI changes, and validating web app behavior end-to-end. ~100ms per command after first call. Works with Claude Code, Cursor, Cline, Windsurf, and any agent that can run Bash. No MCP, no Chrome extension — just fast CLI.
Configure AI coding agents like Cursor, GitHub Copilot, or Claude Code with project-specific patterns, coding guidelines, and MCP servers for consistent AI-assisted development.
CASS Memory System - procedural memory for AI coding agents. Three-layer cognitive architecture with confidence decay, anti-pattern learning, cross-agent knowledge transfer, trauma guard safety system. Bun/TypeScript CLI.
Set up and run Ralph Wiggum loop - autonomous AI coding with clean slate iterations, PRD-driven features, and CI quality gates. Use for long-running autonomous coding tasks.