A curated list of practical Codex skills for automating workflows across the Codex CLI and API.
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Updated
Jul 26, 2026 - Python
A curated list of practical Codex skills for automating workflows across the Codex CLI and API.
Agent Plugins for AWS equip AI coding agents with the skills to help you architect, deploy, and operate on AWS.
Personal Pi coding agent setup
An ML engineering plugin for your coding agents.
Autohand Code CLI - Ultra fast self evolving coding agent that runs in your terminal
A lightweight, powerful local memory server for AI agents supporting text, entities, and relations. Enables persistent codebase understanding and user preference management.
Coding skill for building location-aware applications across the MapTiler platform.
Security guidance based on library and version for developers and agents.
针对中文AI编程的Top 20 提示词,做skill用于辅助codex/claude生成代码
A collection of curated, useful, and safe skills for Autohand Code CLI Agent
DbCli - Database CLI Tool for AI Agents Support for 30+ Databases
Recursively rename images with dimensions so LLMs can see them.
Minimal AI agent in your terminal
Architectural taste for TypeScript coding agents. Minimize conceptual surface area, create boundaries deliberately, and generate code humans can navigate, review, and evolve.
Deterministic local compression and ranking for ripgrep results, with hard output budgets, validated source context, JSON output, deduplication, and reversible local retrieval for coding agents.
Tool-neutral, simple workflow layer for agentic, spec-driven software development. 🪄✨
Semantic tooling for Scala coding agents, combining compiler/test truth, SemanticDB, presentation-compiler evidence, symbol reconciliation, FP analysis, and an agent-friendly CLI/MCP interface.
Evidence-first agent skills for Codex, Claude Code, OpenCode, Pi, and Grok: planning, code review, call-chain analysis, security audits, data quality, tabled responses, and UI.
Deeply analyze and refactor an entire software repository to remove unnecessary complexity, AI-generated code patterns, duplication, dead code, excessive abstraction, and poor structure while preserving intended behavior and producing maintainable code for human engineers.
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