opportunity-tree

opportunity-tree is a skill for Claude Code, Codex from Adelie-Squad/solosquad. It costs 45 tokens per session (815 once invoked), scanned A, original, MIT.

A product-planning method that maps a desired result to user needs, possible solutions, and small tests. It also checks each idea with questions about demand, current alternatives, target users, and long-term value.

In plain words
What is it for?
Use it to break an OKR result into opportunities, solutions, and experiments, using findings about user jobs and needs as input.
Why use it?
It helps separate real user problems from casual interest and keeps teams from jumping straight to solutions. It also exposes unanswered questions before development begins.

Skill for Claude CodeCodex

Which agent this was written for is unclear — built for gstack. Also seen: built for gstack.

Good fit Use it to break an OKR result into opportunities, solutions, and experiments, using findings about user jobs and needs as input.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/adelie-squad/solosquad/opportunity-tree
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 Adelie-Squad/solosquad --skill opportunity-tree
Clone the repo
git clone --depth 1 https://github.com/Adelie-Squad/solosquad

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-tree

README.md
[![agentmods](https://agentmods.dev/badge/skills/adelie-squad/solosquad/opportunity-tree/github.svg)](https://agentmods.dev/skills/adelie-squad/solosquad/opportunity-tree)
Your own site
<a href="https://agentmods.dev/skills/adelie-squad/solosquad/opportunity-tree"><img src="https://agentmods.dev/badge/skills/adelie-squad/solosquad/opportunity-tree/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 opportunity-tree

Your own site · 80×15
<a href="https://agentmods.dev/skills/adelie-squad/solosquad/opportunity-tree"><img src="https://agentmods.dev/badge/skills/adelie-squad/solosquad/opportunity-tree.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 45 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 815 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00045 $0.00815
Opus 5 $0.00023 $0.00407
Sonnet 5 $0.00009 $0.00163
Haiku 4.5 $0.00005 $0.00081

Measured 9d ago against content hash b6eb828a6b88, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

opportunity-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 9d 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/opportunity-tree/SKILL.md · 107 lines

What it actually says

Opportunity Tree Skill

Teresa Torres CDH (Continuous Discovery Habits) 의 OST 자체 실행. Outcome 에서 시작해 opportunity, solution, experiment 까지 트리 형태로 분해.

구조

Outcome (team OKR 의 KR)
  └─ Opportunity 1 (사용자 unmet need)
      ├─ Solution 1.1
      │   └─ Experiment 1.1.a
      └─ Solution 1.2
          └─ Experiment 1.2.a
  └─ Opportunity 2
      ├─ Solution 2.1
      └─ Solution 2.2

입력

  • team OKR (Layer 4a)
  • discovery-synthesis 출력 (JTBD signals)

Six Forcing Questions (gstack 차용) — 자가검증 체크리스트

각 opportunity / solution 에 대해 PM 이 스스로 답해본다. 답할 수 없으면 → open_questions[]:

  1. Demand Reality: "사용자가 진짜 원하는가, 흥미만 표현하나?"
    • Interest is not demand.
  2. Status Quo: "현재 사용자가 이미 어떻게 해결하나?"
    • Status quo is your real competitor.
  3. Desperate Specificity: "Y segment 가 X 를 지금 절박하게 원하나?"
  4. Narrowest Wedge: "가장 좁고 깊은 진입점은?"
  5. Observation & Surprise: "예상 못한 패턴 발견했나?"
  6. Future-Fit: "이 솔루션이 6개월 뒤에도 유효한가?"

출력

{
  "outcome": "OKR KR 인용",
  "tree": [
    {
      "opportunity": "...",
      "jtbd_ref": "...",
      "six_questions": {
        "demand_reality": "...",
        "status_quo": "...",
        "desperate_specificity": "...",
        "narrowest_wedge": "...",
        "observation": "...",
        "future_fit": "..."
      },
      "solutions": [
        {
          "title": "...",
          "approach": "...",
          "experiments": [
            { "spec": "...", "metric": "...", "expected": "..." }
          ]
        }
      ]
    }
  ],
  "open_questions": [...]
}

HARD GATE

  • Six Forcing Questions 6 항목 모두 자가응답 또는 open_question
  • Opportunity 당 Solution ≥2 (gstack rule)
  • Solution 당 Experiment ≥1

Anti-Sycophancy

  • ❌ "이 opportunity 가 흥미롭습니다"
  • ✅ "이 opportunity 는 demand 신호 N건, status quo 분석 Y. Z 가 사실로 드러나면 우선순위 낮춤."

Reference

  • Teresa Torres "Continuous Discovery Habits"
  • gstack /office-hours Six Forcing Questions
  • phuryn/pm-skills/pm-product-discovery/opportunity-solution-tree
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. 9d ago First seen · 107 lines · 45 tokens per session scan A b6eb828a6b88

Subscribe to this mod's changes

opportunity-tree is a skill published in the GitHub repository Adelie-Squad/solosquad (19 stars, last pushed 19d ago), licensed MIT. It adds 45 tokens to every session and 815 once invoked, about $0.0002 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 2026-08-30.

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