Agent skill

Concept Selection

by Owl-Listener in Owl-Listener/designer-skills

Choose between competing concepts against criteria fixed in advance, and record what each rejected concept was testing.

MITAuto-check passedMarketing & SEO

Install Concept Selection

skills CLI
$ npx skills add Owl-Listener/designer-skills --skill concept-selection -a claude-code

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

GitHub CLI
$ gh skill install Owl-Listener/designer-skills concept-selection --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/Owl-Listener/designer-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/prototyping-testing/skills/concept-selection .claude/skills/concept-selection && 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
concept-selection
GitHub stars
2.9k
Token cost
~856 tokens
SKILL.md length
494 words
Files
1
Skills in repo
107
Repo updated
First seen
Licence
MIT

At a glance

Choose between competing concepts against criteria fixed in advance, and record what each rejected concept was testing.

  • Several directions are alive and one has to win
  • SKILL.md covers What You Do, Criteria Before Comparison, Deciding Honestly and The Rejected Concepts Are Half…, plus 1 more section
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Tasks that involve A/B testing

What it does

Concept Selection is an agent skill from Owl-Listener/designer-skills. Choose between competing concepts against criteria fixed in advance, and record what each rejected concept was testing. Use when several directions are alive and one has to win. For picking which problem to work on, use opportunity-framework (ux-strategy); for deciding by production traffic, use a-b-test-design.

Its SKILL.md is about 860 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Marketing & SEO, covering A/B testing. The repository describes itself as: Designer Skills Collection: agentic skills, commands, and plugins for design — from research to systems, UI, interaction, and delivery. The licence is MIT.

When your agent uses it

  • Several directions are alive and one has to win
  • Tasks that involve A/B testing

Example prompts

  • “/concept-selection”

What it can do on your machine

Read from SKILL.md and the folder at commit 9a6930c. 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

Concept Selection loads about 856 tokens when it runs. Until then it costs about 84 tokens; SKILL.md has 494 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~84
When it runs · the whole SKILL.md, loaded when a task matches
~856

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 Owl-Listener/designer-skills at commit 9a6930c, republished under its MIT licence (© Owl-Listener). 494 words, ~856 tokens.

Download SKILL.mdSave it as .claude/skills/concept-selection/SKILL.md (or your agent's skills folder).
name
concept-selection
description
Choose between competing concepts against criteria fixed in advance, and record what each rejected concept was testing. Use when several directions are alive and one has to win. For picking which problem to work on, use `opportunity-framework` (ux-strategy); for deciding by production traffic, use `a-b-test-design`.

Concept Selection

You are an expert in converging on a design direction without laundering preference as reasoning.

What You Do

You run the decision that ends a parallel exploration. You fix the criteria before the options are compared, apply them to every concept, choose one, and record why the others lost. The output is a decision record, not a scoreboard — the reasoning is the part that survives the meeting.

Criteria Before Comparison

Order matters more than the criteria themselves. Write down what would make a concept win before you look at the set. Criteria written afterwards describe the option you already preferred, with a scoring table on top. Criteria come from the brief's success criteria and the product's principles, not from the room. Each one has to be capable of failing a concept:

Weak criterionWhy it failsStronger form
"Feels modern"No concept can lose on it"Uses only patterns already in the design system"
"Better UX"Restates the goal"Completes the core task in three steps or fewer"
"Scalable"Unfalsifiable at this stage"Holds at 400 items without pagination"
Mark each criterion as a threshold (fail it and the concept is out) or a trade-off (weighed against the others). Mixing the two silently is how a concept that breaks a hard constraint stays in the conversation.

Deciding Honestly

  • Evidence over volume. A concept dies on a test result, a constraint, or a stated criterion — not on how many people in the room disliked it.
  • Name what the winner costs. Every choice gives something up. A selection that reports no downside has not been examined; state what the winning concept sacrificed and what would make you revisit it.
  • A split set is a priority problem, not a design problem. If two concepts each win on a different criterion, the criteria conflict and the team has a priority to settle. Escalate that rather than averaging the two into a compromise that leads on nothing.
  • Never graft losers onto the winner. Taking one feature from each concept produces a design nobody argued for and no evidence supports.
Show full SKILL.md (148 more words)Show less

The Rejected Concepts Are Half the Output

For each concept not chosen, record three things: what it was testing, what it lost on, and what would bring it back. This is the highest-value part of the record. It stops the team relitigating a settled direction six months later, and it feeds design-rationale (designer-toolkit) when the decision has to be defended in writing.

Best Practices

  • Name who decides before the review — a selection with no owner defaults to the loudest voice in the room
  • Apply the criteria to the incumbent too; the current design does not get a bye for arriving first
  • Keep rejected concepts retrievable rather than deleted — revisiting is only cheap while the work still exists
  • Do not select across mismatched fidelities; re-level the set first or the polish decides for you
  • Not for a change you can measure in production — use a-b-test-design and let traffic choose

© Owl-Listener, MIT. 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 prototyping-testing/skills/concept-selection of Owl-Listener/designer-skills.

Open the folder on GitHubat commit 9a6930c

Compare with similar skills

Concept Selection 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.

Concept Selection compared with similar skills
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Concept Selection this skillOwl-Listener/designer-skills2.9k—~856Automated safety check: PassMIT
Ab Testingcoreyhaines31/marketingskills54k3 repos~2.8kAutomated safety check: PassMIT
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Ab Test Setupfreekmurze/dotfiles1k15 repos~1.8kAutomated safety check: PassNone
Ad Test Designeraaron-he-zhu/aaron-marketing-skills2.9k2 repos~2.8kAutomated safety check: PassApache-2.0
Meta Tags Optimizernowork-studio/notfair-plugin3.9k1 repos~2.7kAutomated safety check: PassMIT

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Categories

Questions about Concept Selection

What does Concept Selection do?

Choose between competing concepts against criteria fixed in advance, and record what each rejected concept was testing. Concept Selection is an agent skill from Owl-Listener/designer-skills. Choose between competing concepts against criteria fixed in advance, and record what each rejected concept was testing.

When should I use Concept Selection?

Concept Selection fits situations like: several directions are alive and one has to win; tasks that involve A/B testing.

How do I install Concept Selection in Claude Code?

Run `npx skills add Owl-Listener/designer-skills --skill concept-selection -a claude-code`. Or copy the skill folder (prototyping-testing/skills/concept-selection in Owl-Listener/designer-skills) into .claude/skills/concept-selection in your project. Claude Code loads it when a task matches its description.

How do I install Concept Selection in Codex?

Run `npx skills add Owl-Listener/designer-skills --skill concept-selection -a codex`. Or copy the skill folder (prototyping-testing/skills/concept-selection in Owl-Listener/designer-skills) into .agents/skills/concept-selection in your project. Codex loads it when a task matches its description.

Can I use Concept Selection 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 Owl-Listener/designer-skills --skill concept-selection -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/concept-selection, .gemini/skills/concept-selection, .github/skills/concept-selection and .opencode/skills/concept-selection in your project.

What does Concept Selection need to run?

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

Does Concept Selection 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 Concept Selection 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 Concept Selection use?

Concept Selection 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 Concept Selection use?

About 856 tokens (SKILL.md is roughly 3.4k 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 Concept Selection?

Skills that share tags, products or a category with Concept Selection: Ab Testing (coreyhaines31/marketingskills, 54k stars), Analytics (Nexus-JPF/note-companion, 870 stars), Ab Test Setup (freekmurze/dotfiles, 1k stars) and Ad Test Designer (aaron-he-zhu/aaron-marketing-skills, 2.9k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Concept Selection?

Owl-Listener (a GitHub user) maintains it in Owl-Listener/designer-skills, which has 2,854 GitHub stars. The repository holds 107 skills in this directory. The repository was last updated on September 5, 2026.

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