Agent skill

Opportunity Solution Tree

by itseffi in itseffi/agentic-os

Transform research into Opportunity Solution Tree (Teresa Torres method).

MITAuto-check passed

Install Opportunity Solution Tree

skills CLI
$ npx skills add itseffi/agentic-os --skill opportunity-solution-tree -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install itseffi/agentic-os opportunity-solution-tree --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/itseffi/agentic-os.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/opportunity-solution-tree .claude/skills/opportunity-solution-tree && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
opportunity-solution-tree
GitHub stars
115
Token cost
~559 tokens
SKILL.md length
253 words
Files
2
Skills in repo
29
Repo updated
First seen
Licence
MIT

At a glance

Transform research into Opportunity Solution Tree (Teresa Torres method).

  • Works in 5 steps: Extract Opportunities → Organize by Journey Moments → Structure Within Each Moment → …
  • SKILL.md covers When to Use, Key Concepts, The Process and Output Format, plus 2 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Opportunity Solution Tree is an agent skill from itseffi/agentic-os. Transform research into Opportunity Solution Tree (Teresa Torres method). Map outcomes, opportunities, solutions, and experiments.

Its SKILL.md is about 560 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `agents/openai.yaml`).

The repository describes itself as: Agentic personal OS to automate high-leverage workflows with Codex, Claude Code, Pi, OpenClaw and other coding agents/ runtime platforms. The licence is MIT.

Example prompts

  • “/opportunity-solution-tree”

Workflow steps

5 steps, taken from the step headings in SKILL.md.

  1. Extract Opportunities
  2. Organize by Journey Moments
  3. Structure Within Each Moment
  4. Track Evidence
  5. Prioritize Leaves

What it can do on your machine

Read from SKILL.md and the folder at commit e54d0ac. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Opportunity Solution Tree loads about 559 tokens when it runs. Until then it costs about 39 tokens; SKILL.md has 253 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~39
When it runs · the whole SKILL.md, loaded when a task matches
~559

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from itseffi/agentic-os at commit e54d0ac, republished under its MIT licence (© itseffi). 253 words, ~559 tokens.

Download SKILL.mdSave it as .claude/skills/opportunity-solution-tree/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
opportunity-solution-tree
description
Transform research into Opportunity Solution Tree (Teresa Torres method). Map outcomes, opportunities, solutions, and experiments.

Opportunity Solution Tree (OST)

Transform interview data into a structured Opportunity Solution Tree following Teresa Torres's method.

When to Use

When synthesizing user research into a structured view of opportunities.

Key Concepts

Opportunity: A customer need, pain, or desire - phrased from user perspective, not a solution.

Moment in time: A distinct point in the customer journey.

Tests:

  • Distinctness (siblings): Can we pursue one without addressing the other? If yes, they're distinct.
  • Parent-child: Does solving the child partially solve the parent? If not, reframe.

The Process

1. Extract Opportunities

From interviews, capture:

  • Verbatim quotes
  • Reframed user-need statement
  • Which journey moment it belongs to
2. Organize by Journey Moments

Group opportunities under their primary moment in time.

3. Structure Within Each Moment
  • Cluster similar opportunities
  • Create parent nodes where needed
  • Run distinctness checks across siblings
  • Run parent-child checks down branches
  • Remove generic parents with single children
  • Combine near-duplicates
4. Track Evidence

For each opportunity, capture:

  • Representative quotes
  • Frequency count
  • Confidence level (low/med/high)
5. Prioritize Leaves

Score leaf opportunities:

  • Impact (1-5)
  • Frequency (1-5)
  • Alignment to outcome (1-5)
  • Priority = Impact x Frequency x Alignment

Output Format

Opportunity Inventory Table: | ID | Moment | Opportunity | Parent ID | Quotes | Frequency | Confidence |

Tree View (per moment):

## [Moment Name]
- [Parent opportunity]
  - [Child opportunity]
    - [Grandchild]

Prioritized Leaf Backlog: Ranked list with scores and rationale.

Rules

  • All opportunities from user perspective
  • No solutions in the tree
  • Keep distinct across siblings
  • Prefer specific over generic
  • Preserve verbatim quotes for evidence

When Not to Use

Do not use this skill when the request is unrelated, low-stakes, or better handled by a simpler direct response.

© itseffi, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file in .agents/skills/opportunity-solution-tree of itseffi/agentic-os.

  • SKILL.md
  • agents/openai.yaml

Open the folder on GitHubat commit e54d0ac

Compare with similar skills

Opportunity Solution Tree next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Opportunity Solution Tree compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Opportunity Solution Tree this skillitseffi/agentic-os115—~559Automated safety check: PassMIT
Opportunity Solution Treephuryn/pm-skills27k—~1.1kAutomated safety check: PassMIT
Opportunity Solution Tree Builderdeanpeters/Product-Manager-Skills7.2k1 repos~4.5kAutomated safety check: PassCustom licence
Opportunity Solution Treeborghei/Claude-Skills881—~2.4kAutomated safety check: PassMIT
Define Opportunity Treeproduct-on-purpose/pm-skills715—~1.1kAutomated safety check: PassApache-2.0
TransformersK-Dense-AI/scientific-agent-skills48k1 repos~2.8kAutomated safety check: NotesApache-2.0

Similar skills

  • Build an Opportunity Solution Tree (OST) to structure product discovery — map a desired outcome to opportunities, solutions, and experiments.

    27k GitHub stars~1.1k tokensUpdated 23 days ago
    Product & Project ManagementAuto-check passed
  • Opportunity Solution Tree Builder

    deanpeters/Product-Manager-Skills

    Builds an Opportunity Solution Tree from a stakeholder request: a measurable outcome, customer-problem opportunities, candidate solutions, tests and a proof-of-concept pick.

    7.2k GitHub starsUsed in 1 repo~4.5k tokens
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  • Opportunity Solution Tree

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    Opportunity Solution Tree (Teresa Torres) mapping outcomes → opportunities → solutions → assumption tests.

    881 GitHub stars~2.4k tokensUpdated yesterday
    Product & Project ManagementAuto-check passed
  • Define Opportunity Tree

    product-on-purpose/pm-skills

    Creates an opportunity solution tree connecting a desired outcome to customer opportunities and candidate solutions, preventing solution-first jumps in continuous discovery.

    715 GitHub stars~1.1k tokensUpdated 3 days ago
    Product & Project ManagementAuto-check passed
  • Transformers

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    Hugging Face Transformers for loading Hub models, running pipeline inference, text generation, and Trainer fine-tuning on NLP, vision, audio, and multimodal tasks.

    48k GitHub starsUsed in 1 repo~2.8k tokens
    AI & LLM EngineeringAuto-check: notes
  • Opportunity Solution Tree

    avelikiy/great_cto

    Builds an Opportunity Solution Tree that links one measurable outcome to customer opportunities, candidate solutions and experiments.

    103 GitHub stars~1.8k tokensUpdated today
    Product & Project ManagementAuto-check passed

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Questions about Opportunity Solution Tree

What does Opportunity Solution Tree do?

Transform research into Opportunity Solution Tree (Teresa Torres method). Opportunity Solution Tree is an agent skill from itseffi/agentic-os. Transform research into Opportunity Solution Tree (Teresa Torres method).

How do I install Opportunity Solution Tree in Claude Code?

Run `npx skills add itseffi/agentic-os --skill opportunity-solution-tree -a claude-code`. Or copy the skill folder (.agents/skills/opportunity-solution-tree in itseffi/agentic-os) into .claude/skills/opportunity-solution-tree in your project. Claude Code loads it when a task matches its description.

How do I install Opportunity Solution Tree in Codex?

Run `npx skills add itseffi/agentic-os --skill opportunity-solution-tree -a codex`. Or copy the skill folder (.agents/skills/opportunity-solution-tree in itseffi/agentic-os) into .agents/skills/opportunity-solution-tree in your project. Codex loads it when a task matches its description.

Can I use Opportunity Solution Tree in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add itseffi/agentic-os --skill opportunity-solution-tree -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/opportunity-solution-tree, .gemini/skills/opportunity-solution-tree, .github/skills/opportunity-solution-tree and .opencode/skills/opportunity-solution-tree in your project.

What does Opportunity Solution Tree need to run?

SKILL.md names no scripts, command-line tools or credentials: Opportunity Solution Tree is instructions for the agent only.

Does Opportunity Solution Tree access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Opportunity Solution Tree safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Opportunity Solution Tree use?

Opportunity Solution Tree is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Opportunity Solution Tree use?

About 559 tokens (SKILL.md is roughly 2.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Opportunity Solution Tree?

Skills that share tags, products or a category with Opportunity Solution Tree: Opportunity Solution Tree (phuryn/pm-skills, 27k stars), Opportunity Solution Tree Builder (deanpeters/Product-Manager-Skills, 7.2k stars), Opportunity Solution Tree (borghei/Claude-Skills, 881 stars) and Define Opportunity Tree (product-on-purpose/pm-skills, 715 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Opportunity Solution Tree?

itseffi (a GitHub user) maintains it in itseffi/agentic-os, which has 115 GitHub stars. The repository holds 29 skills in this directory. The repository was last updated on October 7, 2026.

Source: itseffi/agentic-os on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.