strategize

strategize is a command for Claude Code from Owl-Listener/designer-skills. It costs 12 tokens per session (207 once invoked), scanned A, original, MIT.

A command that develops a complete user-experience strategy by combining vision, competitor research, experience mapping, principles, opportunities, metrics, and a project brief.

In plain words
What is it for?
Use it to produce a strategy document covering direction, market context, user experience, priorities, success measures, and scope.
Why use it?
It brings several planning activities into one coordinated strategy for a product or feature area.

Command for Claude Code

Written for Claude Code: argument-hint in frontmatter.

Part of the ux-strategy plugin — 12 skills, 3 commands shipped together

Good fit Use it to produce a strategy document covering direction, market context, user experience, priorities, success measures, and scope.

Compare 6 commands from other repositories ↓
Install with agentmods
npx agentmods add commands/owl-listener/designer-skills/strategize
About the project

Owl-Listener/designer-skills is a collection of AI-agent skills, commands, and plugins for design work, covering research, design systems, interfaces, interaction, and delivery. Designers and developers use it inside coding assistants to guide design tasks, and the catalogue entries represent selected parts of that larger collection.

Owl-Listener/designer-skills · 2,593 stars · on GitHub

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Clone the repo
git clone --depth 1 https://github.com/Owl-Listener/designer-skills

Made for: Claude Code.

Or install ux-strategy, the plugin that ships this one along with the rest of its 12 skills, 3 commands.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for strategize

README.md
[![agentmods](https://agentmods.dev/badge/commands/owl-listener/designer-skills/strategize/github.svg)](https://agentmods.dev/commands/owl-listener/designer-skills/strategize)
Your own site
<a href="https://agentmods.dev/commands/owl-listener/designer-skills/strategize"><img src="https://agentmods.dev/badge/commands/owl-listener/designer-skills/strategize/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for strategize

Your own site · 80×15
<a href="https://agentmods.dev/commands/owl-listener/designer-skills/strategize"><img src="https://agentmods.dev/badge/commands/owl-listener/designer-skills/strategize.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 12 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 207 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00012 $0.00207
Opus 5 $0.00006 $0.00103
Sonnet 5 $0.00002 $0.00041
Haiku 4.5 $0.00001 $0.00021

Measured 6d ago against content hash 99e5501e20ce, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

strategize scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 6d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

ux-strategy/commands/strategize.md · 18 lines

What it actually says

/strategize

Develop a comprehensive UX strategy.

Steps

  1. Vision — Articulate the north-star using north-star-vision skill.
  2. Landscape — Analyze competitors using competitive-analysis skill.
  3. Map — Create experience map using experience-map skill.
  4. Principles — Define guiding principles using design-principles skill.
  5. Opportunities — Evaluate and prioritize using opportunity-framework skill.
  6. Metrics — Define success measures using metrics-definition skill.
  7. Brief — Consolidate into a design brief using design-brief skill.

Output

Strategy document with vision, competitive landscape, experience map, principles, prioritized opportunities, metrics, and design brief. Consider following up with /benchmark or /frame-problem.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 6d ago First seen · 18 lines · 12 tokens per session scan A 99e5501e20ce

Subscribe to this mod's changes

strategize is a command published in the GitHub repository Owl-Listener/designer-skills (2,593 stars, last pushed 4d ago), licensed MIT. It adds 12 tokens to every session and 207 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.