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opportunity-solution-tree

opportunity-solution-tree is a skill for Claude Code, Codex from uthumany/uthy-legacy-os. It costs 37 tokens per session (1,191 once invoked), scanned A, original, MIT.

A visual map that connects a desired product outcome to user needs, possible solutions, and the assumptions behind them.

In plain words
What is it for?
Use it to organize discovery findings, explore a product initiative, deprioritize solutions, and connect user problems to product decisions.
Why use it?
It helps teams explore the problem before committing to the first idea and gives stakeholders a shared way to compare options.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

not rated 5repo 5mo ago A scan 37 tokens original MIT

Good fit Use it to organize discovery findings, explore a product initiative, deprioritize solutions, and connect user problems to product decisions.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/uthumany/uthy-legacy-os/opportunity-solution-tree
View source ↗ uthumany/uthy-legacy-os uthumany.github.io
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.

Any agent
npx skills add uthumany/uthy-legacy-os --skill opportunity-solution-tree
Clone the repo
git clone --depth 1 https://github.com/uthumany/uthy-legacy-os

Made for: Claude Code, Codex.

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 opportunity-solution-tree

README.md
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Your own site
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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 opportunity-solution-tree

Your own site · 80×15
<a href="https://agentmods.dev/skills/uthumany/uthy-legacy-os/opportunity-solution-tree"><img src="https://agentmods.dev/badge/skills/uthumany/uthy-legacy-os/opportunity-solution-tree.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 37 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,191 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 $0.00037 $0.01191
Opus 5.5 $0.00015 $0.00476
Sonnet 5.5 $0.00007 $0.00238
Haiku 4.5 $0.00004 $0.00119

Measured 2mo ago against content hash e71b703dba28, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

opportunity-solution-tree 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 2mo 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.

skills/discovery/opportunity-solution-tree/SKILL.md · 121 lines

How it starts

The opening of the file, as written. The whole thing — 121 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Opportunity-Solution Tree

Overview

The Opportunity-Solution Tree (OST), popularized by Teresa Torres in Continuous Discovery Habits, is a visual framework that maps a desired outcome → opportunities (user needs, pain points, desires) → solutions → assumptions. It prevents the common mistake of jumping straight from a problem to a solution without exploring alternatives.

When to Use

  • Starting a new product initiative with an outcome in mind
  • Multiple stakeholders want different solutions — need to align on the problem first
  • You've done discovery interviews and need to organize findings
  • You want to avoid building the first solution that comes to mind
  • Don't use for: well-understood execution work, bug fixes, or compliance requirements

Instructions

1. Define the Desired Outcome

Start at the top: what outcome are we trying to achieve?

  • A measurable business outcome (increase retention, reduce support tickets)
  • Not a solution ("build a chatbot") — that goes lower in the tree
  • Example: "Reduce time-to-value for new team workspace setup from 2 days to 2 hours"

2. Identify Opportunities

Opportunities are user needs, pain points, and desires — not solutions.

  • Each opportunity answers: "What would help users achieve the desired outcome?"
  • Source them from customer interviews, analytics, support tickets, and research
  • Write as statements of user need: "I can't find the right template to start with"
  • Don't prioritize yet — just list them

3. Explore Solutions (for each opportunity)

For each opportunity, brainstorm 3-5 potential solutions:

  • Divergent thinking: No judgment. Capture all ideas, even crazy ones
  • Include obvious solutions and creative alternatives
  • Solutions are concrete: "Auto-detect workspace type from email domain" not "make setup easier"

4. Surface Assumptions

For each solution, identify the assumptions you're making:

  • Desirability: Will users actually want this?
  • Viability: Can we build this profitably?
  • Feasibility: Can we build this technically?
  • Usability: Will users be able to use it?
  • Prioritize which assumptions to test first (riskiest → easiest to test)

Read the full file on GitHub · 121 lines

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. 2mo ago First seen · 121 lines · 37 tokens per session scan A e71b703dba28

Subscribe to this mod's changes

opportunity-solution-tree is a skill published in the GitHub repository uthumany/uthy-legacy-os (5 stars, last pushed 5mo ago), licensed MIT. It adds 37 tokens to every session and 1,191 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-08-31.

Planning
Related

opportunity-solution-tree compared with skills from other repositories

opportunity-solution-tree next to 6 skills from other repositories
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