OpenAI · Deep research

Earnings analysis — pre- and post-earnings. An agent skill from helsome/folio.

helsome/folio

Runs evidence-aware, multi-provider research with the Librarium v2 CLI.

jkudish/librarium

将原始研究问题细化为结构化的深度研究任务。通过提问澄清需求，生成符合 OpenAI/Google Deep Research 标准的结构化提示词。当用户提出研究问题、需要帮助定义研究范围、或想要生成结构化研究提示词时使用此技能。

liangdabiao/Claude-Code-Deep-Research-main

Decision-grade research, three ways: draft a deep-research prompt for the user to run in their own tool (ChatGPT, Gemini, Grok, Perplexity, …), process a finished research report — file it, distill…

delorenj/mcp-server-trello

Author and run multi-agent workflows with the omegacode CLI — JavaScript files that orchestrate Codex (gpt-5.x) and Claude Code agents deterministically via agent()/parallel()/pipeline()/phase().

SawyerHood/omegacode

Explains how to run, integrate and debug the deep-research-mcp project through its CLI, Python API or MCP server, with OpenAI, Gemini and DR-Tulu backends.

pminervini/deep-research-mcp

Multi-model deep research with comparative assessment (OpenAI + Perplexity + Gemini).

juanandresgs/claude-ctrl

Calls the Brave Search Answers endpoint for AI-grounded, cited answers, either a fast single-search reply or a slower multi-search deep research run.

brave/brave-search-skills

Produce a comprehensive, referenced deep-research report on a given topic as a downloadable markdown file.

impredicative/podgenai

This skill should be used when conducting comprehensive research on any topic using the OpenAI Deep Research API.

glebis/claude-skills

Creates reusable, source-traced research reports and coordinates provider/mode lanes with original exports.

daymade/claude-code-skills