am-will

am-will/codex-skills

15 resources in this repository

GitHub
🎯15
322

🎯Skills15

🎯parallel-task🎯Skill

Parallel task orchestration skill from the CodexSkills collection, covering agent planning, documentation access, frontend development, and browser automation.

parallel-task
🎯planner🎯Skill

Creates comprehensive, phased implementation plans with sprints and atomic tasks for planning features, breaking down work, and building structured roadmaps.

planner
🎯context7🎯Skill

Context7 documentation fetcher skill for retrieving current library documentation via Context7 API, proactively looking up APIs for React, Next.js, Supabase, and other libraries instead of relying on outdated knowledge

context7
🎯frontend responsive design standards🎯Skill

A skill from CodexSkills providing frontend responsive design standards and best practices for building adaptive web interfaces across devices and screen sizes.

frontend responsive design standards
🎯read-github🎯Skill

Reads and searches GitHub repository documentation via the gitmcp.io MCP service, converting GitHub URLs to documentation endpoints.

read-github
🎯frontend-design🎯Skill

Frontend design skill for creating distinctive, production-grade web interfaces with high design quality, avoiding generic AI aesthetics through bold creative choices and exceptional attention to detail

frontend-design
🎯plan-harder🎯Skill

Detailed implementation planning skill that creates phased plans with sprints and atomic tasks, covering codebase research, requirements clarification, and structured implementation phases for bugs, features, or tasks

plan-harder
🎯llm-council🎯Skill

Multi-LLM planning council skill that orchestrates configurable CLI agents (Codex, Claude Code, Gemini, OpenCode) to produce independent implementation plans, anonymize and randomize them, then judge and merge into one final bias-resistant plan

llm-council
🎯agent browser🎯Skill

A collection of Codex/agent skills for planning, documentation access, frontend development, and browser automation, including parallel task execution, LLM council multi-agent orchestration, Context7 doc fetching, and Gemini Computer Use browser control.

agent browser
🎯vercel-react-best-practices🎯Skill

React and Next.js performance optimization skill from Vercel Engineering, containing 45 rules across 8 categories for optimal data fetching, bundle optimization, component patterns, and server-side rendering

vercel-react-best-practices
🎯openai-docs-skill🎯Skill

Queries the OpenAI developer documentation MCP server via CLI (curl/jq) to search, browse, and fetch authoritative docs for the OpenAI API, SDKs, ChatGPT Apps SDK, Codex, and MCP integrations with up-to-date official guidance.

openai-docs-skill
🎯codex-subagent🎯Skill

Skill

codex-subagent
🎯gemini-computer-use🎯Skill

Enables browser automation using Google Gemini's computer use capabilities from the CodexSkills collection for agent orchestration and frontend development.

gemini-computer-use
🎯swarm-planner🎯Skill

Generates dependency-aware implementation plans that optimize task execution across multiple agents by explicitly mapping task dependencies and enabling parallel processing.

swarm-planner
🎯markdown-url🎯Skill

Skill

markdown-url