Agent skills for OpenAI Agents SDK

2-stage pipeline: trace (causal investigation) -> deep-interview (requirements crystallization) with 3-point injection

Deep executor mode for complex goal-oriented tasks

Deep codebase initialization with hierarchical AGENTS.md documentation

Socratic deep interview with mathematical ambiguity gating before explicit execution approval

Deep Learning: 55 concepts, no maths assumed.

Conducts rigorous market, competitive, and technology research using structured source-grading and cross-validation workflows.

Orchestrate multi-phase deep research with web search, memory retrieval, pattern matching, and synthesis into structured findings

Multi-source deep research pipeline: extract content from YouTube, arXiv, SSRN, PDFs, and web articles, research the topic broadly, and…

Run a deep, source-backed research query via DeepAPI (go to deepapi.co to get an API key) POST /v1/research/deep.

Thorough codebase search

Searches, recommends, and installs specialized agent skills from the Meyo ecosystem based on task context and user requirements.

Automate Deepgram tasks via Rube MCP (Composio).

Diagnose and fix common Deepgram errors and issues.

Implement real-time streaming transcription with Deepgram WebSocket.

Optimize Deepgram costs and usage for budget-conscious deployments.

Configure enterprise role-based access control for Deepgram integrations.

Install and configure Deepgram SDK authentication.

Configure Deepgram local development workflow with testing and mocks.

Set up comprehensive observability for Deepgram integrations.

Optimize Deepgram API performance for faster transcription and lower

Implement Deepgram reference architecture for scalable transcription