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This repository provides a set of targeted capabilities for AI agents to handle technical development tasks. It includes tools for programmatic web navigation and data extraction, as well as systems for managing project-specific hooks and configuration scripts.
Developers can use these skills to automate repetitive browser interactions or generate production-grade frontend interfaces that move beyond generic AI aesthetics.
WHO IT'S FOR
AI agent / automation builders
automating web interactions and data extraction
Frontend engineers
building production-grade, high-design web interfaces
UI/UX developers
implementing mobile-first responsive layouts
Platform / DevEx teams
configuring global or project-scope automation hooks
Compatible AgentsThe repository documents support for these agents. The skills may also work with other agents that can load SKILL.md files, but they may need some setup or small changes.
Use the planner skill to create a phased implementation plan for [feature or bug] in [repository path]. Account for these constraints and success criteria: [constraints]. Break the work into atomic, testable tasks with file paths, dependencies, acceptance criteria, and validation steps. Save the plan, identify any important gotchas, and do not implement it.
Use the create-hook skill to add a project-scoped PostToolUse hook in [repository path] that records modified file paths in [repo-local log path]. Use the smallest deterministic script, keep the output clear, and verify it with a harmless edit that should trigger the hook.
Make sure openai-docs-skill is installed in your agent before trying this task.
Use the openai-docs-skill to answer [OpenAI API, SDK, Apps SDK, Codex, or MCP question]. Search the official documentation, fetch the most relevant page, summarize the applicable guidance, and include the documentation URL. Do not modify code.