cching-openaiandGitHub
cb9153a87f
## Summary - add a new curated `chatgpt-apps` skill for building, scaffolding, refactoring, and troubleshooting ChatGPT Apps SDK apps - define a docs-first workflow that pulls current OpenAI Apps SDK docs before generating code - add reference guides for app archetypes, upstream example selection, `search`/`fetch` conventions, MCP Apps bridge and `window.openai` patterns, and repo validation expectations - include a low-dependency scaffold script that generates a minimal Node + `@modelcontextprotocol/ext-apps` starter with an MCP server and widget UI - bundle agent metadata and license text for the new curated skill ## Why This gives Codex a reusable, opinionated workflow for ChatGPT app work instead of ad hoc scaffolding. It pushes the model toward current docs, the smallest matching upstream example, and a stable runnable repo contract.
Agent Skills
Agent Skills are folders of instructions, scripts, and resources that AI agents can discover and use to perform at specific tasks. Write once, use everywhere.
Codex uses skills to help package capabilities that teams and individuals can use to complete specific tasks in a repeatable way. This repository catalogs skills for use and distribution with Codex.
Learn more:
Installing a skill
Skills in .system are automatically installed in the latest version of Codex.
To install curated or experimental skills, you can use the $skill-installer inside Codex.
Curated skills can be installed by name (defaults to skills/.curated):
$skill-installer gh-address-comments
For experimental skills, specify the skill folder. For example:
$skill-installer install the create-plan skill from the .experimental folder
Or provide the GitHub directory URL:
$skill-installer install https://github.com/openai/skills/tree/main/skills/.experimental/create-plan
After installing a skill, restart Codex to pick up new skills.
License
The license of an individual skill can be found directly inside the skill's directory inside the LICENSE.txt file.