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Agent skill

Parallel Concepts

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

Build several genuinely different solutions to the same problem at once, spread across what the user does rather than how it looks.

MITAuto-check passed

Install Parallel Concepts

skills CLI
$ npx skills add Owl-Listener/designer-skills --skill parallel-concepts -a claude-code

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

GitHub CLI
$ gh skill install Owl-Listener/designer-skills parallel-concepts --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/parallel-concepts .claude/skills/parallel-concepts && 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
parallel-concepts
GitHub stars
2.9k
Token cost
~922 tokens
SKILL.md length
544 words
Files
1
Skills in repo
107
Repo updated
First seen
Licence
MIT

At a glance

Build several genuinely different solutions to the same problem at once, spread across what the user does rather than how it looks.

  • One direction is on the table and the team is about to refine it by default
  • SKILL.md covers What You Do, Why Parallel Beats Serial, What Makes Concepts Distinct and Sizing the Set, plus 1 more section
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Parallel Concepts is an agent skill from Owl-Listener/designer-skills. Build several genuinely different solutions to the same problem at once, spread across what the user does rather than how it looks. Use when one direction is on the table and the team is about to refine it by default. For choosing between the concepts afterwards, use concept-selection.

Its SKILL.md is about 920 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: 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

  • One direction is on the table and the team is about to refine it by default

Example prompts

  • “/parallel-concepts”

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

Parallel Concepts loads about 922 tokens when it runs. Until then it costs about 77 tokens; SKILL.md has 544 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~77
When it runs · the whole SKILL.md, loaded when a task matches
~922

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). 544 words, ~922 tokens.

Download SKILL.mdSave it as .claude/skills/parallel-concepts/SKILL.md (or your agent's skills folder).
name
parallel-concepts
description
Build several genuinely different solutions to the same problem at once, spread across what the user does rather than how it looks. Use when one direction is on the table and the team is about to refine it by default. For choosing between the concepts afterwards, use `concept-selection`.

Parallel Concepts

You are an expert in divergent exploration — holding multiple competing solutions to one problem before committing to any of them.

What You Do

You take a problem that already has a proposed solution and construct a set of genuinely different solutions to the same problem, held at equal effort until there is evidence to choose. You decide how wide the set should be and which dimension the concepts must differ on. You do not rank or eliminate them — that is concept-selection.

Why Parallel Beats Serial

Iteration and exploration buy different things. Refining one concept improves that concept. Building several in parallel improves your model of the solution space — you learn which of your assumptions were load-bearing and which were arbitrary. Stanford's parallel prototyping research (Dow, Glienke and Klemmer, 2010) found designers who produced concepts in parallel outperformed those who iterated serially on a single design for the same total effort, measured on real audience response rather than preference. Two secondary effects matter as much as the result:

  • Critique lands better. With one design on the table, feedback reads as a verdict on the designer. With several, it reads as information about the options.
  • The first idea loses its unearned advantage. Whatever arrives first becomes the reference point, and every later idea gets judged as a deviation from it rather than on its own terms. A parallel set removes the incumbent. The cost is real — n concepts cost roughly n times as much. The resolution is to spread early, while a concept still costs a sketch instead of a build.

What Makes Concepts Distinct

A set is only informative if its members differ on the dimension the decision turns on. The test is behavioural, not visual: does the user do something different?

  • Sequence — what the user is asked for first, and what waits
  • Unit of interaction — one item at a time, a batch, or a continuous stream
  • Division of labour — what the person decides versus what the system decides for them
  • Entry point — where the task begins and what it assumes the user already knows
  • Commitment point — how far in the user goes before the action becomes irreversible Two concepts with the same steps in the same order and different visual treatment are one concept rendered twice. Cut one and spend the effort on a real third direction.
Show full SKILL.md (155 more words)Show less

Sizing the Set

The count is a consequence of cost and stakes, not a target to hit:

  • Three cheap sketches beat two polished mockups at the same total effort
  • Concepts must sit at comparable fidelity — a rendered option beats a rough one on presentation alone, whatever their merits
  • If you cannot say what a concept tests that the others do not, it is padding — drop it

Best Practices

  • Write the question the set has to answer before drawing anything; a set that answers no question is a portfolio, not an exploration
  • Give every concept enough effort to be defensible — a deliberately weak option is a strawman and corrupts the comparison
  • Hold the visual language constant across the set so the variable under test stays isolated
  • Do not carry a concept you would refuse to build; an option nobody would ship is not an option
  • Not for choosing which problem to solve — that is opportunity-framework (ux-strategy)

© 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/parallel-concepts of Owl-Listener/designer-skills.

Open the folder on GitHubat commit 9a6930c

Compare with similar skills

Parallel Concepts 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.

Parallel Concepts compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Parallel Concepts this skillOwl-Listener/designer-skills2.9k—~922Automated safety check: PassMIT
Is This A Problemanthropics/claude-for-legal9.6k2 repos~2.3kAutomated safety check: PassApache-2.0
Parallels Discord Roundtripopenclaw/openclaw392k—~788Automated safety check: PassMIT
Openclaw Parallels Smokeopenclaw/openclaw392k—~8.4kAutomated safety check: NotesMIT
Parallel Execution Optimizeraffaan-m/ECC275k1 repos~712Automated safety check: PassMIT
Parallel AutomationComposioHQ/awesome-claude-skills77k3 repos~734Automated safety check: PassNone

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Questions about Parallel Concepts

What does Parallel Concepts do?

Build several genuinely different solutions to the same problem at once, spread across what the user does rather than how it looks. Parallel Concepts is an agent skill from Owl-Listener/designer-skills. Build several genuinely different solutions to the same problem at once, spread across what the user does rather than how it looks.

When should I use Parallel Concepts?

Parallel Concepts fits situations like: one direction is on the table and the team is about to refine it by default.

How do I install Parallel Concepts in Claude Code?

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

How do I install Parallel Concepts in Codex?

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

Can I use Parallel Concepts 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 parallel-concepts -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/parallel-concepts, .gemini/skills/parallel-concepts, .github/skills/parallel-concepts and .opencode/skills/parallel-concepts in your project.

What does Parallel Concepts need to run?

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

Does Parallel Concepts 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 Parallel Concepts 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 Parallel Concepts use?

Parallel Concepts 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 Parallel Concepts use?

About 922 tokens (SKILL.md is roughly 3.7k 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 Parallel Concepts?

Skills that share tags, products or a category with Parallel Concepts: Is This A Problem (anthropics/claude-for-legal, 9.6k stars), Parallels Discord Roundtrip (openclaw/openclaw, 392k stars), Openclaw Parallels Smoke (openclaw/openclaw, 392k stars) and Parallel Execution Optimizer (affaan-m/ECC, 275k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Parallel Concepts?

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.