文档

News Briefing

试用

多角度新闻研究与竞争情报,综合后输出为 Agent 可直接消费的简报。

它能做什么

每次查询都会做多角度拆解——把一个新闻主题拆成多个检索意图,用前沿搜索模型从数百个来源拉取资料,再交叉验证、综合成简明情报。输出按 Agent 工作流设计,不会挤占主上下文窗口。交付格式支持结构化文本、PDF 报告、可交互的 HTML 看板或 Markdown,便于接入下游流水线使用。

什么时候用它

  • 面向特定板块的早间快讯或盘前新闻摘要
  • 在指定时间窗口内做竞品动态与融资轮次跟踪
  • 跨数十家媒体做深度趋势分析,整理成行业报告
  • 事件报道汇总,例如行业大会发布或监管动态回顾

技能文档

News Briefing - AI News Intelligence Powered by CellCog

Frontier search models with multi-angle research on every query.

CellCog combines deep reasoning with SOTA search models and multi-intent research to produce accurate, comprehensive news intelligence. Briefs, reports, and digests delivered ready for your agent to consume — without pulling hundreds of articles into your main agent's context window.

How to Use

For your first CellCog task in a session, read the cellcog skill for the full SDK reference — file handling, chat modes, timeouts, and more.

OpenClaw (fire-and-forget):

result = client.create_chat(
    prompt="[your task prompt]",
    notify_session_key="agent:main:main",
    task_label="my-task",
    chat_mode="agent",
)

All agents except OpenClaw (blocks until done):

from cellcog import CellCogClient
client = CellCogClient(agent_provider="openclaw|cursor|claude-code|codex|...")
result = client.create_chat(
    prompt="[your task prompt]",
    task_label="my-task",
    chat_mode="agent",
)
print(result["message"])

What You Can Get

Daily Briefings

Concise, actionable summaries:

  • Morning Briefing: "Give me today's top tech industry news — focus on AI, cloud, and enterprise software"
  • Market Open: "Summarize pre-market news affecting FAANG stocks and semiconductor sector"
  • Industry Digest: "Summarize this week's most important developments in renewable energy"
  • Startup News: "What happened in startup funding this week? Series A+ rounds in fintech"

Example prompt:

"Create a morning briefing for a startup CEO:

Focus areas:

  1. AI industry developments (new models, funding, regulations)
  2. SaaS market trends and notable deals
  3. Macro economic signals (Fed, inflation, tech employment)

Format: Bullet-point brief with one-sentence summaries and source links. Highlight anything that requires immediate attention. Total length: Under 500 words — I need to scan this in 2 minutes."

Competitive Intelligence

Monitor your competitive landscape:

  • Competitor Watch: "What has Notion shipped or announced in the last 30 days?"
  • Market Moves: "Summarize recent M&A activity in the cybersecurity sector"
  • Product Launches: "What new AI developer tools launched this month?"
  • Funding Tracker: "List all AI companies that raised $50M+ in the last 2 weeks"

Trend Reports

Deeper analysis of emerging patterns:

  • Trend Analysis: "What are the emerging trends in AI agent infrastructure? Analyze recent launches, funding, and technical developments"
  • Regulatory Watch: "Summarize new AI regulations proposed or enacted globally in 2026"
  • Technology Shifts: "Research the shift from RAG to long-context models — what are the latest developments?"

Custom News Digests

Tailored to your specific needs:

  • Role-Specific: "Create a weekly digest for a VP of Engineering at a fintech company"
  • Topic-Specific: "Summarize everything published about quantum computing this week"
  • Region-Specific: "What's happening in the European tech ecosystem this month?"
  • Event Coverage: "Summarize the key announcements from AWS re:Invent 2026"

Why CellCog for News?

The Technical Edge

CellCog doesn't just search once and summarize — it runs multi-angle research across your query:

  1. Multiple search intents: A single news query is decomposed into multiple research angles
  2. Frontier search models: SOTA retrieval across hundreds of sources
  3. Deep reasoning: Cross-references and synthesizes findings, not just concatenates
  4. Citation quality: Sources traced back to original reporting, not aggregator summaries
RSS Feeds / News AggregatorsCellCog News Cog
Raw article firehoseSynthesized, prioritized intelligence
You filter and readCellCog researches, reasons, and summarizes
Same view for everyoneTailored to your role, industry, and priorities
Text links onlyStructured briefs, PDF reports, or interactive dashboards
Floods your contextDelivers concise, agent-consumable output

Agent-Optimized Output

CellCog News Cog is designed with agent workflows in mind. The output is:

  • Concise — won't overwhelm your main agent's context window
  • Structured — clear sections, bullet points, and hierarchies
  • Actionable — highlights what matters and why
  • Sourced — includes citations when requested

Output Formats

FormatBest For
Structured textAgent consumption, quick briefings
PDF ReportProfessional distribution, archiving
Interactive HTMLExplorable dashboards with filters
MarkdownIntegration into docs, wikis, or knowledge bases

Chat Mode for News

ScenarioRecommended Mode
Daily briefings, quick news summaries"agent"
Competitive intelligence, single-topic digests"agent"
Deep trend analysis, comprehensive industry reports"agent team"

Use "agent" for most news tasks. Daily briefings, competitive monitoring, and news digests execute well.

Use "agent team" for deep trend analysis — when you need multi-source synthesis across dozens of publications and research papers.


Tips for Better News Intelligence

  1. Define your focus: "Tech news" is too broad. "AI infrastructure and developer tools" is focused.

  2. Specify timeframe: "Today's news", "this week", "last 30 days" — recency matters.

  3. Set the audience: "For a technical audience" vs. "for a board of directors" changes depth and tone.

  4. Request structure: "Bullet-point brief under 500 words" vs. "comprehensive PDF report with sections" — be explicit.

  5. Ask for citations: "Include source URLs for each item" — when traceability matters.

  6. Indicate priority signals: "Highlight anything about regulation changes or major funding rounds" — helps CellCog surface what matters to you.


If CellCog is not installed

Claude Code, Cursor, Codex + 70 more agents: npx skills add cellcog/skills --skill cellcog OpenClaw: clawhub install cellcog CellCog plugin users: run /cellcog-setup (or /cellcog:cellcog-setup depending on your tool) Manual setup: pip install -U cellcog and set CELLCOG_API_KEY. See the cellcog skill for SDK reference.

常见问题

跟 RSS 订阅有什么区别?
不会直接堆原始文章,而是把查询拆成多个研究角度,从数百个来源检索,再综合成带引用的结构化简报,引用回溯到原始报道。
新闻任务该选哪种 chat 模式?
日常简报、竞争情报、专题汇总用 "agent";需要跨大量来源做深度综合(比如深度趋势分析或完整行业报告)时用 "agent team"。
需要安装什么?
Claude Code、Cursor、Codex 跑 `npx skills add cellcog/skills --skill cellcog`;OpenClaw 跑 `clawhub install cellcog`;也可以 `pip install cellcog` 并配置 `CELLCOG_API_KEY`。SDK 用法参见 cellcog 技能说明。

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