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Agent skill

Product Think

by stella in stella/stella

Shape a feature or problem before implementation. An agent skill from stella/stella.

Apache-2.0Auto-check passed

Install Product Think

skills CLI
$ npx skills add stella/stella --skill product-think -a claude-code

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

GitHub CLI
$ gh skill install stella/stella product-think --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/stella/stella.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/product-think .claude/skills/product-think && 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
product-think
GitHub stars
258
Token cost
~574 tokens
SKILL.md length
270 words
Files
1
Skills in repo
24
Repo updated
First seen
Licence
Apache-2.0

At a glance

Shape a feature or problem before implementation. An agent skill from stella/stella.

  • Works in 10 steps: Clarify the problem first → Separate problem from solution → Define outcome, not just output → …
  • SKILL.md covers Arguments, Interaction Mode and Instructions
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Product Think is an agent skill from stella/stella. Shape a feature or problem before implementation. Use this when the request is still fuzzy, when several solutions are possible, or when execution risks outrunning product clarity.

Its SKILL.md is about 570 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

The repository describes itself as: Open-source legal workspace. The licence is Apache-2.0.

Example prompts

  • “/product-think”

Workflow steps

10 steps, taken from the first numbered list in SKILL.md.

  1. Clarify the problem first
  2. Separate problem from solution
  3. Define outcome, not just output
  4. State constraints
  5. Explore options
  6. Make tradeoffs explicit
  7. Define scope
  8. Define success
  9. Produce a short product brief in prose or markdown, with
  10. Only move to implementation planning after this is coherent.

What it can do on your machine

Read from SKILL.md and the folder at commit b225fd8. 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

Product Think loads about 574 tokens when it runs. Until then it costs about 49 tokens; SKILL.md has 270 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~49
When it runs · the whole SKILL.md, loaded when a task matches
~574

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 stella/stella at commit b225fd8, republished under its Apache-2.0 licence (© stella). 270 words, ~574 tokens.

Download SKILL.mdSave it as .claude/skills/product-think/SKILL.md (or your agent's skills folder).
name
product-think
description
Shape a feature or problem before implementation. Use this when the request is still fuzzy, when several solutions are possible, or when execution risks outrunning product clarity.
argument-hint
[feature idea or problem statement]

Product Think

Shape a feature or problem before implementation. Use this when the request is still fuzzy, when several solutions are possible, or when execution risks outrunning product clarity.

Arguments

$ARGUMENTS: feature idea, problem statement, or change request.

Interaction Mode

Default to one coherent pass after confirming the problem statement. Do not stop after every step for ceremonial approval. Pause only when the user's answer would materially change who the product serves, the product boundary, or the recommended direction. Do not make the user answer questions the repository or evidence can resolve. Lead with discoveries, not step narration.

Instructions

  1. Clarify the problem first:

    • who is affected?
    • what pain or friction exists today?
    • why does it matter now?

  2. Separate problem from solution:

    • write down the user need
    • write down the proposed solution
    • check whether the solution actually addresses the need

  3. Define outcome, not just output:

    • what should be better if this works?
    • what user or business behavior should change?

  4. State constraints:

    • technical constraints
    • organizational constraints
    • compliance or trust constraints
    • timeline constraints

  5. Explore options:

    • simplest viable option
    • stronger but more expensive option
    • what not to build yet

  6. Make tradeoffs explicit:

    • speed vs correctness
    • breadth vs depth
    • automation vs control
    • flexibility vs clarity

  7. Define scope:

    • in scope
    • out of scope
    • follow-up ideas that should not block the first version

  8. Define success:

    • what would we measure?
    • what would we observe qualitatively?
    • what would count as failure?

  9. Produce a short product brief in prose or markdown, with:

    • problem
    • user
    • goal
    • options considered
    • recommendation
    • risks
    • success signal

  10. Only move to implementation planning after this is coherent.

© stella, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in .agents/skills/product-think of stella/stella.

Open the folder on GitHubat commit b225fd8

Compare with similar skills

Product Think 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.

Product Think compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Product Think this skillstella/stella258—~574Automated safety check: PassApache-2.0
Is This A Problemanthropics/claude-for-legal9.6k2 repos~2.3kAutomated safety check: PassApache-2.0
Think Tankdavila7/claude-code-templates32k—~3kAutomated safety check: PassMIT
First Principles Thinkingmindfold-ai/Trellis15k—~4.1kAutomated safety check: PassMIT
Product Thinkingmillionco/react-doctor15k—~3.1kAutomated safety check: PassCustom licence
Design Thinkingsickn33/agentic-awesome-skills47k1 repos~1.9kAutomated safety check: PassMIT

Similar skills

  • Is This A Problem

    anthropics/claude-for-legal

    Official

    Fast "is this a problem?" answer for the quick Slack question — pattern-matches against your calibration.

    9.6k GitHub starsUsed in 2 repos~2.3k tokens
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  • Think Tank

    davila7/claude-code-templates

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  • Product Thinking

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    15k GitHub stars~3.1k tokensUpdated today
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  • Design Thinking

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  • Ten-Stage Think Loop

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All 24 skills in this repo

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    Create a concise, evidence-backed implementation plan in the repository planning area when the user explicitly asks for a plan.

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  • Answer From Sources

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    Answers data-protection (GDPR) questions grounded in the regulation and supervisory guidance, with a citation for every claim.

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  • Check Against Rules

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    Reviews a non-disclosure agreement against the firm's NDA checklist and reports findings with citations.

    258 GitHub stars~856 tokensUpdated today
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  • Intake To Draft

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    Collects the facts of an unpaid invoice, then drafts a payment demand letter.

    258 GitHub stars~537 tokensUpdated today
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  • Conventions Perf

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    Apply when a performance-guard check (network baseline, bundle baseline, DB query count, loader-prefetch lint, RC bailouts) fails or when touching a hot route/endpoint.

    258 GitHub stars~2.9k tokensUpdated today
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  • Conventions Use Effect

    stella/stella

    Apply when writing or reviewing React effects in apps/web. An agent skill from stella/stella.

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Questions about Product Think

What does Product Think do?

Shape a feature or problem before implementation. An agent skill from stella/stella. Product Think is an agent skill from stella/stella. Shape a feature or problem before implementation.

How do I install Product Think in Claude Code?

Run `npx skills add stella/stella --skill product-think -a claude-code`. Or copy the skill folder (.agents/skills/product-think in stella/stella) into .claude/skills/product-think in your project. Claude Code loads it when a task matches its description.

How do I install Product Think in Codex?

Run `npx skills add stella/stella --skill product-think -a codex`. Or copy the skill folder (.agents/skills/product-think in stella/stella) into .agents/skills/product-think in your project. Codex loads it when a task matches its description.

Can I use Product Think 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 stella/stella --skill product-think -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/product-think, .gemini/skills/product-think, .github/skills/product-think and .opencode/skills/product-think in your project.

What does Product Think need to run?

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

Does Product Think 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 Product Think 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 Product Think use?

Product Think is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Product Think use?

About 574 tokens (SKILL.md is roughly 2.3k 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 Product Think?

Skills that share tags, products or a category with Product Think: Is This A Problem (anthropics/claude-for-legal, 9.6k stars), Think Tank (davila7/claude-code-templates, 32k stars), First Principles Thinking (mindfold-ai/Trellis, 15k stars) and Product Thinking (millionco/react-doctor, 15k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Product Think?

stella (a GitHub organization) maintains it in stella/stella, which has 258 GitHub stars. The repository holds 24 skills in this directory. The repository was last updated on October 9, 2026.

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