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Found 405 Skills
Build, scaffold, refactor, and troubleshoot ChatGPT Apps SDK applications that combine an MCP server and 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.
BibiGPT CLI for summarizing videos, audio, and podcasts directly in the terminal. Use when the user wants to summarize a URL (YouTube, Bilibili, podcast, etc.) or check their BibiGPT authentication status. Requires the BibiGPT desktop app installed with an active login session, or a BIBI_API_TOKEN environment variable set.
Image Generation Skill: Use this skill when users need to generate images, visual infographics, create graphics, or edit/modify/adjust existing images. Based on the official formal version of the ChatGPT Image 2 model (gpt-image-2) from Apiyi Platform (https://api.apiyi.com/). This model supports precise size/quality control (including 4K) and is billed by token. Key differences from gpt-image-2-all (official reverse version): Uses /v1/images/generations and /v1/images/edits endpoints; Has explicit size parameter; Has quality parameter; Billed by token; Uses multipart/form-data to upload reference images; b64_json is pure base64 without prefix.
AI Image Generation Skill, using the latest ChatGPT image generation model gpt-image-2-all. This skill is applied when users need to generate images, visual infographics, create graphics, or edit/modify/adjust existing images. Based on the image generation service of the latest ChatGPT image generation model gpt-image-2-all from APIYI Platform (https://api.apiyi.com/), no external network access is required. The model is charged per image at $0.03 per piece, supporting text-to-image generation, single image editing, multi-image fusion, and natural language-based image modification, with high text restoration accuracy and friendly Chinese prompts. The size is controlled by prompt description (no explicit size parameter). Key differences from NanoBanana2: no size parameter, need to describe the size at the beginning of the prompt; unified $0.03 per image with no resolution tiering; the conversational endpoint /v1/chat/completions is the recommended one.
Generate and edit images using OpenAI's GPT Image v2 via EachLabs. Supports text-to-image (gpt-image-v2-text-to-image) and instruction-based editing (gpt-image-v2-edit). Use when the user specifically asks for GPT Image 2 / OpenAI image generation, or needs high-fidelity photorealism, precise text rendering, or reference-faithful edits.
AutoTeam-F is a ChatGPT Team account rotation and authentication sync tool with batch free account generation, OAuth management, and a Web dashboard.
Persuasive GPT image deck-planning skill. Uses extracted DESIGN.md, user files, and the user's goal to decide slide ordering, page count, evidence placement, and narrative flow in JSON.
Page-level GPT image slide prompting skill. Converts DESIGN.md and slide_plan.json into detailed slide-generation prompts in JSON while preserving theme, body-slide consistency, and layout discipline.
Automate Customgpt tasks via Rube MCP (Composio). Always search tools first for current schemas.
Guide for implementing HolmesGPT - an AI agent for troubleshooting cloud-native environments. Use when investigating Kubernetes issues, analyzing alerts from Prometheus/AlertManager/PagerDuty, performing root cause analysis, configuring HolmesGPT installations (CLI/Helm/Docker), setting up AI providers (OpenAI/Anthropic/Azure), creating custom toolsets, or integrating with observability platforms (Grafana, Loki, Tempo, DataDog).
Internal guidance for composing Codex and GPT-5.4 prompts for coding, review, diagnosis, and research tasks inside the Codex Claude Code plugin
GPT Image 2 prompt gallery, agentic skill, and CLI for OpenAI image generation and editing with curated prompts and reference workflows