Classify app archetypes and scaffold ChatGPT Apps SDK projects from current docs.
npx skills add https://github.com/bzellman/earp-kit --skill chatgpt-apps-bzellman
Please help me install this Agent Skill. Skill: chatgpt-apps Source: https://github.com/bzellman/earp-kit/tree/main/skills/system/chatgpt-apps Command: npx skills add https://github.com/bzellman/earp-kit --skill chatgpt-apps-bzellman
Scaffolds, refactors, and troubleshoots ChatGPT Apps SDK projects that combine an MCP server and a widget UI. Use when Codex needs to design tools, register UI resources, wire the MCP Apps bridge or ChatGPT compatibility APIs, apply Apps SDK metadata or CSP or domain settings, or produce a docs-aligned project scaffold. Prefer a docs-first workflow by invoking the openai-docs skill or OpenAI developer docs MCP tools before generating code.
Invoke the OpenAI Docs workflow, fetch current Apps SDK docs, classify the app archetype, and scaffold a minimal MCP server and widget using the closest upstream example.
High-intent search queries and answers about installing and using this skill.
To scaffold a ChatGPT App, classify your app archetype and generate a runnable MCP server and widget UI repo. The workflow fetches current Apps SDK docs to ensure the project structure aligns with the upstream contract and metadata validation.
A docs-first workflow means fetching the latest Apps SDK documentation before generating any code. This ensures your MCP server tool definitions and widget UI resource registrations match current OpenAI developer docs rather than outdated examples.
Yes, archetype-driven scaffolding applies to both greenfield planning and production builds. It enforces archetype selection and generates a runnable repository that adheres to the Apps SDK contract for MCP server and widget structures.
Configuring CSP and domain metadata involves integrating these settings during the resource registration and validation phase. The scaffolding process applies Apps SDK metadata constraints to ensure your widget UI complies with required security policies.
The best way to define tools and register resources is by selecting the closest upstream example as a template. The scaffolder fetches current docs, applies archetype selection, and generates compliant MCP server tool definitions.
Metadata validation fails when the generated repo does not adhere to the Apps SDK contract. Fetching current OpenAI developer docs before scaffolding ensures your CSP settings, domain configurations, and resource registrations meet the required standards.
shalevaminScaffold, build, and refactor ChatGPT Apps SDK applications with MCP servers and widget UIs.
Ab0umarScaffold ChatGPT Apps SDK projects with an MCP server and widget UI.
Haohao-endRetrieve and cite official OpenAI developer documentation for model selection and migration.
metric-space-aiScaffold ChatGPT Apps SDK projects coupling an MCP server with a widget UI.
