AI导哈

数据与研究

result

parallel-web/pa…t-skills

Get completed research task result by run ID

  • 1.3万 次安装
  • 91 星标
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安装命令

npx skills add https://github.com/parallel-web/parallel-agent-skills --skill result

SKILL.md

Get Research Result

Run ID: $ARGUMENTS

parallel-cli research poll "$ARGUMENTS" --json

Present results in a clear, organized format.

If CLI not found, tell user to run /parallel:parallel-cli-setup.

相关 Skills

parallel-deep-researchparallel-web/pa…t-skillsONLY use when user explicitly says 'deep research', 'exhaustive', 'comprehensive report', or 'thorough investigation'. Slower and more expensive than parallel-web-search. For normal research/lookup requests, use parallel-web-search instead. Supports follow-ups with a known prior Task interaction ID.数据与研究1.6万parallel-web-searchparallel-web/pa…t-skillsCLI-backed web search. Use when the user explicitly invokes this skill, needs CLI-only controls or saved JSON output, or no Parallel web_search MCP tool is available. When the bundled Parallel Search MCP is available, prefer its web_search tool for ordinary lookups and current-information queries. Only use parallel-deep-research if the user explicitly requests deep or exhaustive research.智能体工作流1.5万parallel-web-extractparallel-web/pa…t-skillsCLI-backed URL extraction. Use when the user explicitly invokes this skill, needs CLI-only controls or saved JSON output, or no Parallel web_fetch MCP tool is available. When the bundled Parallel Search MCP is available, prefer its web_fetch tool for ordinary webpages, articles, PDFs, and JavaScript-heavy sites.智能体工作流1.4万parallel-data-enrichmentparallel-web/pa…t-skillsBulk data enrichment. Adds web-sourced fields (CEO names, funding, contact info) to lists of companies, people, or products. Use for enriching CSV files or inline data. Supports multi-turn: pass --previous-interaction-id from a prior research task to carry context forward.数据与研究1.4万statusparallel-web/pa…t-skillsCheck running research task status by run ID数据与研究1.4万parallel-findallparallel-web/pa…t-skillsDiscover entities (companies, people, products, etc.) matching a natural-language description. Use when the user asks to 'find all X' or 'list every Y that…' — e.g., 'Find AI startups that raised Series A in 2026', 'List roofing companies in Charlotte NC', 'Show me YC W24 dev tools companies'. Different from web-search (which returns webpages) and deep-research (which returns a narrative report). Use this when the user wants a structured list of entities.数据与研究1.2万