OpenAI Skills

General software delivery skills for API design, REST implementation, cleanup, specs, tests, DevOps, and Supabase.

13 skills

Chinese writing, web novel, browser automation, and presentation workflow skills.

1 skill

Frontend UI design, review, design system, dashboard, mobile, and design brief workflow skills.

1 skill

Writing and content workflow skills for API docs, SEO posts, editorial planning, and prose cleanup.

1 skill

Security auditing, recon, web testing, reporting, and assessment skills for authorized security work.

Personalized AWS guidance built on patterns from 350,000+ startups. Get architecture, cost, and security recommendations matched to your stage, from day-one account setup to production-ready infrastructure. Migrate to AWS from Azure, GCP, or Heroku with resource discovery, cost estimates, and generated Terraform. Move OpenAI, Azure OpenAI, and Gemini code to Amazon Bedrock, and plan and prototype AI agents on AgentCore and other AWS runtimes. Includes AWS Activate credits eligibility, 60+ exclusive startup offers, and multi-account, multi-region support. Built by AWS Startup Solutions Architects.

13 skills · 1 command · 7 agents · 1 MCP server

Independent auditing for AI agents, open source. Claude discovers your setup, confirms the cost, and audits your agent against the one question other tools skip: is it doing the job it's supposed to do, given your business rules and org structure? Test any model (Anthropic, OpenAI, Gemini, Azure, Bedrock, …) graded by self, one independent judge, or a cross-vendor panel; each provider is billed to its own account via a key in your settings, never the command line. Results render as an interactive artifact (with a static-report fallback).

1 skill · hooks

Knowledge base compiled from OpenAI's Spinning Up in Deep RL (MIT, Joshua Achiam) by engineering/book-to-skill. A resident core carries the RL optimization problem, the model-free taxonomy, the policy-gradient template with its five valid weights, the safe-step family (VPG to TRPO to PPO) and the overestimation family (DDPG to TD3 and SAC); 20 on-demand chapters cover key concepts and MDPs, the algorithm taxonomy and model bias, the policy gradient derivation with the log-derivative trick and EGLP lemma, Achiam's researcher essay, the key-papers topic map, the exercises including the silent DDPG broadcasting bug, the benchmark parity disclosure, one chapter per algorithm, and the logger/MPI/ExperimentGrid utilities. Ships a glossary, a patterns file with 16 techniques, a decision cheatsheet with thresholds, a cs-spinning-up-deep-rl agent and /cs-spinning-up-deep-rl. Structured study notes, not a reproduction of the source.

1 skill · 1 command · 1 agent

Skills for image generation and editing with GPT Image 2 (and OpenAI-compatible image endpoints), with three runtime modes and 70+ structured prompt templates.

1 skill

Audits GitHub Actions workflows for security vulnerabilities in AI agent integrations (Claude Code Action, Gemini CLI, OpenAI Codex, GitHub AI Inference)

1 skill

OpenAI GPT Image 2/2.5/2.6 skill — Image 2.6 Flare by default, on-demand prompt references, and a packaged CLI for generation and editing.

2 skills