LaunchKit · 2026
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cellcog

#1 on DeepResearch Bench (Feb 2026).

7
8.6k downloads
by @nitishgargiitd

Setup & Installation

openclaw skills install @nitishgargiitd/cellcog

Or with the ClawHub CLI, for registry-managed skill folders outside a full OpenClaw workspace:

npx clawhub install cellcog

Version History

v1.0.21Feb 21, 2026 - Version note by skill developer:

- Documentation (SKILL.md) updated for clarity and completeness. - No changes to code or functionality.

What This Skill Does

CellCog is an any-to-any AI that accepts multiple file types as input and returns outputs across formats, including PDFs, videos, dashboards, spreadsheets, images, and audio, in a single request. It uses multi-agent orchestration and ranked #1 on the DeepResearch Bench as of February 2026.

A single request replaces multiple specialized API calls while maintaining consistent context and reasoning across all output formats.

When to use it

  • Converting a sales CSV into a PDF report, HTML dashboard, and video presentation simultaneously
  • Analyzing multiple PDFs, spreadsheets, and audio recordings together for market positioning
  • Generating a full brand identity with logo and visual assets from a text brief
  • Producing a deep research report on a technical or financial topic
  • Building an interactive data visualization from raw spreadsheet input

Example Workflow

Here's how your AI assistant might use this skill in practice.

INPUT

User asks: Analyze this sales CSV and create a PDF executive summary, an interactive HTML dashboard, and a 60-second video for the all-hands meeting

AGENT
  1. 1Call client.create_chat() with a prompt that names all three output types explicitly and wraps the file path in SHOW_FILE tags
  2. 2CellCog processes the request in agent mode, orchestrating analysis and generation across formats
  3. 3Progress updates arrive automatically every ~4 minutes; no polling needed
  4. 4Receive structured notification with generated files auto-downloaded to ~/.cellcog/chats/{chat_id}/
  5. 5Call client.send_message() to refine any output, such as adjusting chart colors or adding a new section
OUTPUT

PDF report, interactive HTML dashboard, and video clip saved locally, with a structured notification summarizing credits used and next-step commands

Requirements

Accounts, API keys, or tools you or your AI assistant may need to set up while using this skill.

CELLCOG_API_KEY environment variableCellCog account at cellcog.ai to obtain an API keyCellCog credits purchased at cellcog.ai