一键导入
web-search
Search the web for information using natural language queries. Returns summaries and sources from live web results.
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
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Search the web for information using natural language queries. Returns summaries and sources from live web results.
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
Conduct a structured discovery interview to produce a precise, confirmed ProblemBrief.
Delegate complex, multi-file coding tasks to an autonomous coding agent that can iterate and self-correct. Uses Claude Code if ANTHROPIC_API_KEY is set, otherwise falls back to Gemini via generate_code + execute.
Produce a comprehensive, detail-preserving research report from all phase findings and agent evidence.
Execute arbitrary Python code in an isolated subprocess. Use for data transformation, statistical analysis, geospatial processing, knowledge graph modeling, ontology engineering, RDF serialization, data visualization, document parsing, and any computation task. Always print() results to capture them.
Download a dataset from a URL and inspect its actual contents — schema, column types, shape, sample rows, and null counts. Supports CSV, Parquet, Excel, JSON, and JSONL. Use this to look inside a dataset, not just its landing page.
Download a PDF from a URL and extract its full text — ideal for research papers, reports, and documentation. Returns page count and extracted text.
| description | Search the web for information using natural language queries. Returns summaries and sources from live web results. |
| name | web_search |
| source | built-in |
| tags | ["search","realtime","general"] |
| tools | ["perplexity_search"] |
Apply when the work item requires discovering current facts, statistics, regulations, market data, or any information that needs to come from live web sources. Signals include: "find", "research", "what is the current", "identify", "discover", "look up". Use early in a task to establish baselines before browsing specific URLs or inspecting datasets.
Produce a structured findings block in the proof field containing: the specific questions asked and answers found, all citations (URL + title + claim supported), confidence in each finding (high / medium / low) with rationale, and any contradictions found between sources.