Deep reasoning. Accurate data. Beautiful design. The three things every great document needs — and most AI gets wrong.
Professional document generation — PDF by default, native DOCX on request. Deep research fills content from minimal prompts. Resumes, contracts, reports, proposals — delivered in minutes.
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"])
CellCog generates professional documents in multiple formats:
When you say "create a report" or "make a document" without specifying a format, CellCog generates PDF — perfect typography, layouts, and design with full creative control.
When you explicitly request DOCX ("create a Word document", "make a .docx"), CellCog generates native Word directly — editable, compatible with Microsoft Word and Google Docs, great for collaborative workflows where multiple people contribute.
Just ask for DOCX and you'll get it. No need to justify why you want an editable format.
Build your professional story:
Example prompt:
> "Create a modern, ATS-friendly resume for:
>
> Name: Sarah Chen
> Title: Senior Product Manager
> Experience: 7 years in B2B SaaS
>
> Work history:
> - Stripe (2021-present): Led payments platform, grew revenue 40%
> - Slack (2018-2021): Launched enterprise features
> - Microsoft (2016-2018): Associate PM on Azure
>
> Education: Stanford MBA, UC Berkeley CS
>
> Clean, professional design with blue accents."
Professional business materials:
Example prompt:
> "Create a business proposal for 'CloudMigrate' consulting services:
>
> Client: Acme Corp
> Project: AWS cloud migration
> Timeline: 6 months
> Budget: $150,000
>
> Include: Executive summary, scope of work, timeline, team bios, pricing breakdown, terms.
>
> Professional, corporate design."
Data-driven documents:
Example prompt:
> "Create a Q4 2025 business report:
>
> Title: Quarterly Performance Review
> Company: TechStart Inc.
>
> Key metrics:
> - Revenue: $2.1M (up 35% YoY)
> - Customers: 150 (up from 98)
> - Churn: 5% (down from 8%)
>
> Include charts and executive summary. Corporate professional style."
Formal agreements and contracts:
Example prompt:
> "Create a freelance contractor agreement:
>
> Client: Acme Corp
> Contractor: Jane Smith (Web Developer)
> Project: E-commerce website redesign
> Duration: 3 months
> Payment: $15,000 (50% upfront, 50% on completion)
>
> Include: Scope, deliverables, payment terms, IP ownership, confidentiality, termination clauses.
>
> Professional legal formatting."
Eye-catching marketing materials:
Example prompt:
> "Create a product one-pager for 'TaskFlow' project management software:
>
> Headline: Finally, a PM tool that doesn't suck
> Key features: AI task prioritization, Slack integration, real-time collaboration
> Pricing: $12/user/month
> Call to action: Start free trial
>
> Modern, bold design. Blue and white color scheme."
Learning materials:
Event materials:
Official documents:
| Scenario | Recommended Mode |
|---|---|
| ---------- | ------------------ |
| Standard documents - resumes, invoices, reports, certificates | "agent" |
| Complex documents requiring narrative craft - proposals, white papers, case studies | "agent team" |
Use "agent" for most documents. Resumes, contracts, reports, and standard business documents execute well in agent mode.
Use "agent team" for high-stakes documents where persuasion and narrative flow matter—investor proposals, detailed white papers, compelling case studies.
Run /cellcog-setup (or /cellcog:cellcog-setup depending on your tool) to install and authenticate.
OpenClaw users: Run clawhub install cellcog instead.
Manual setup: pip install -U cellcog and set CELLCOG_API_KEY. See the cellcog skill for SDK reference.
共 3 个版本