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Agent Skill

Opportunity Solution Tree skill

opportunity-solution-treedeanpeters/Product-Manager-Skillsskills/opportunity-solution-tree/SKILL.md

Build an Opportunity Solution Tree from outcomes to opportunities, solutions, and tests. Use when a stakeholder request needs problem framing before you decide what to build.

7.6k

always on

36 tokname + description

once used

3,785 tokSKILL.md body

bundled files

25 KB

repo stars

7.6kGitHub

Install the Opportunity Solution Tree skill

Skills CLI (Claude Code, Codex, Cursor and others)

npx skills add https://github.com/deanpeters/Product-Manager-Skills --skill opportunity-solution-tree

Claude Code, by hand (all projects)

git clone --depth 1 https://github.com/deanpeters/Product-Manager-Skills.git /tmp/Product-Manager-Skills
mkdir -p ~/.claude/skills
cp -R /tmp/Product-Manager-Skills/skills/opportunity-solution-tree ~/.claude/skills/opportunity-solution-tree

For one project only, copy the folder into .claude/skills/ in that project instead. The agent picks it up when a task matches its description.

What it costs your context

Agent Skills load in three steps. Tokens counted with the o200k tokenizer; your model's count will differ a little.

WhenWhat loadsCost
Every sessionName and description36 tok
When the agent uses itThe SKILL.md instructions3,785 tok
Only if opened2 bundled files (5 KB)varies

Until it is used, opportunity-solution-tree costs about 38× less than the median MCP server we measured (1,362 tokens on every turn). Installing all 77 skills from deanpeters/Product-Manager-Skills would load 2,883 tokens of descriptions. Skills vs MCP study

Checks

Our checks found nothing to flag: it follows the Agent Skills specification's naming and size guidelines and doesn't pipe downloads into a shell.

Checked 2026-10-22 · method

What's inside

The headings of its SKILL.md. Read the full file on GitHub.

  • Purpose
  • Input
  • Key Concepts
  • What is an Opportunity Solution Tree (OST)?
  • Why This Works
  • Anti-Patterns (What This Is NOT)
  • When to Use This
  • When NOT to Use This
  • Facilitation Source of Truth
  • Application
  • Step 0: Gather Context (Before Questions)
  • Phase 1: Generate Opportunity Solution Tree
  • Question 1: Extract Desired Outcome
  • Question 2: Identify Opportunities (Problems to Solve)
  • Question 3: Generate Solutions for Selected Opportunity
  • Phase 2: Select Proof-of-Concept (POC)
  • Question 4: Evaluate Solutions (Feasibility, Impact, Market Fit)
  • Question 5: Define Experiment
  • Output: Opportunity Solution Tree + POC Plan
  • Examples
  • Common Pitfalls
  • Pitfall 1: Opportunities Disguised as Solutions
  • Pitfall 2: Skipping Divergence (Jumping to One Solution)
  • Pitfall 3: Outcome is Too Vague

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