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Run xAI Grok research with optional web and X search tools for current-event, social, market, or news-oriented research. Use when a task needs Grok-backed synthesis, X-aware source discovery, or provider comparison.
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
SOC 職業分類に基づく
| name | deep-research-xai-grok |
| description | Run xAI Grok research with optional web and X search tools for current-event, social, market, or news-oriented research. Use when a task needs Grok-backed synthesis, X-aware source discovery, or provider comparison. |
Use this skill when the task benefits from Grok's current web or X search tools, especially for social, market, or news-oriented research.
op run --env-file .env.climbhill -- python .agents/skills/deep-research-xai-grok/scripts/grok_research.py \
--query "deepresearch the deepresearchers" \
--model grok-4.3 \
--web-search
Required 1Password-backed variable:
XAI_API_KEY--x-search only when X/Twitter evidence is central to the task.Prepare and run bounded calls across deep research provider APIs with explicit cost limits, API-key sources, benchmark prompts, and output capture. Use when comparing providers, creating reproducible API commands, or normalizing raw provider outputs after a research run.
Run Exa-backed deep research, neural search, and page-content retrieval with bounded result and page-read counts. Use when a task needs Exa Search, Exa Contents, or Exa Research inside a source-discovery or benchmark workflow.
Run Google Gemini deep research and search-grounded Gemini research tasks with bounded scope and captured outputs. Use when research should rely on Gemini, Google Search grounding, or Google-hosted document context.
Run GPT Researcher as a self-hosted open-source deep research framework using an LLM plus a search provider. Use when a task needs inspectable local report generation, configurable retrievers, or comparison against commercial research APIs.
Use Jina Reader and Jina Search APIs for deep research retrieval, URL-to-markdown conversion, and markdown-oriented search results. Use when a workflow needs clean page extraction, search snippets, or reader output before synthesis.
Run LangChain Open Deep Research or LangGraph-based iterative research workflows with configurable retrieval, reflection, and server-backed execution. Use when a benchmark or task needs inspectable graph orchestration rather than a single hosted research API.