# Codex Features and Practical Usage 🧩 Tired of re-explaining the same workflow to Codex every time? Agent Skills let you package a reusable playbook once, and Codex loads it only when it is actually needed. 🏷️ Title: Agent Skills (SKILL.md) 🔗 URL: 📘 Overview Agent Skills package routine workflows into a single `SKILL.md` file you can reuse. Only a skill's name and description sit in Codex's context at all times; the full body loads when Codex decides to invoke it. You scope skills by where you place them: repository-wide, personal, or machine-level. ⚙️ How It Works ・A skill is a folder with `SKILL.md` (required) plus optional `scripts/` (executable code), `references/` (docs), `assets/` (templates), and `agents/openai.yaml` (UI config). ・`SKILL.md` opens with frontmatter containing `name` and `description`. A good description states clearly when the skill triggers and what its boundaries are. ・Codex scans several locations in priority order: the repo's `.agents/skills`, `$REPO_ROOT/.agents/skills`, your personal `$HOME/.agents/skills`, the admin path `/etc/codex/skills`, and OpenAI's bundled built-in skills. ・Progressive disclosure keeps only names, descriptions, and paths in the initial context (capped around 8,000 characters). The full body loads on invocation, so many installed skills won't bloat the prompt. 🛠️ Practical Usage ・The easiest way to author one is the built-in `$skill-creator`. It walks you through what the skill does, when it triggers, and whether to bundle scripts (instruction-only is the default). ・Invoke explicitly with `/skills` in the CLI/IDE, or mention a skill by name like `$skill-name`. Codex also selects skills implicitly when your task matches the description. ・To forbid implicit selection for a skill, set `policy.allow_implicit_invocation` to `false` in `agents/openai.yaml`. ・To disable a skill without deleting it, add a `[[skills.config]]` entry with its `path` and `enabled = false` in `~/.codex/config.toml`. 💡 Use Cases Encode error-prone, brittle routines such as release procedures, how to run the E2E suite, or the correct way to use an internal library. Anyone on the team then gets consistent results from Codex. Put shared workflows under the repo and personal habits under `$HOME/.agents/skills` for a clean split. ⚠️ Caveats ・Duplicate skill names across locations are not merged; both appear in the selector, so keep names unique. ・A vague description breaks implicit matching. Front-load key use cases and be concrete. ・With many skills installed, descriptions may be shortened to save context. If changes don't show up, restart Codex. #OpenAICodex# #AgentSkills#

Introducing Agent Plugins, an open standard for extending agents. Supports Agent Skills and MCP, with more to come. Built in collaboration with: @awsdevelopers, @code, @cursor_ai, @github, and @openaidevs.

Building agent skills from scratch is a grind. We've been there. So we built the fix — and open-sourced all of it under MIT. PDF, Excel, PPTX, DOCX, and more. Use it, fork it, PR it. Intelligence with everyone. Github Repo → Try online →

⚡ NEW: The Walrus Agent Skills page is live, with pre-built skills for building on Walrus that install straight into Claude Code, Cursor, Codex, and other AI coding agents. We also shipped a Release Notes page, so every Walrus Platform and Memory release now sits in one place with a short note on what changed.

Building a production-ready vision AI agent no longer takes thousands of developer hours. NVIDIA Metropolis offers 80+ open agent skills for generating synthetic data, fine-tuning models, deploying applications and unlocking real-time insights, all through natural-language prompts. Leading companies like @FujitsuOfficial, @Hitachi, @OMRON_Official, @YazakiNA, and Shimizu Corporation are using Metropolis to bring agentic vision AI into manufacturing and critical infrastructure.

We just shipped something different: 0G Agent Skills. Turn Claude Code, Cursor, and GitHub Copilot into expert 0G developers. Clone the repo. Connect your IDE. Just ask. You'll get correct, working TypeScript code every time. 14 skills across Storage, Compute, and Chain 🧵👇

Build a plugin once and use it across compatible agent clients. Introducing Agent Plugins, an open standard developed with @awsdevelopers, @cursor_ai, @github, @code, and @vercel that packages Agent Skills and supports MCP server configurations in a shared format.