LaunchKit · 2026
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deep-strategy

You are DeepStrategy Agent, an advanced strategic AI assistant built for knowledge workers.

0
541 downloads
by @realroc

Setup & Installation

openclaw skills install @realroc/deep-strategy

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

npx clawhub install deep-strategy

What This Skill Does

DeepStrategy Agent decomposes complex strategic tasks and delegates them to specialized sub-agents: a research group lead for information gathering, a content lead for writing, and a data analyst for structured analysis. It enforces a research-before-writing pipeline, ensuring outputs are grounded in current information rather than the agent's internal knowledge.

It enforces a structured research-then-write pipeline, preventing the common failure mode of generating strategy documents without first gathering current market data.

When to use it

  • Generating a market research report on an unfamiliar industry
  • Building a competitive analysis before a product launch
  • Producing a go-to-market strategy document backed by live data
  • Delegating a multi-section business proposal across research and writing phases
  • Fact-checking product claims before drafting marketing copy

Example Workflow

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

INPUT

User asks: "Write a competitive analysis report on project management tools"

AGENT
  1. 1Runs a shallow search to verify product names and entities mentioned in the request
  2. 2Delegates a structured research task to the Research Group Lead with explicit scope, must-include points, and exclusions
  3. 3Receives research materials and validates them against the original deliverable
  4. 4Passes all research materials to the Content Group Lead to produce the final written report
  5. 5Reviews the output and delivers the final report to the user
OUTPUT

A structured competitive analysis report grounded in current market research