Brainstorm Ideas Existing
phuryn/pm-skills
Brainstorm product ideas for an existing product using multi-perspective ideation from PM, Designer, and Engineer viewpoints.
Domain-validated guidance for designing Alternative Uses Task (AUT) experiments measuring divergent thinking, with parameters for AI-augmented and traditional conditions
Install Alternative Uses Task Designer
$ npx skills add NeuroAIHub/BrainPilot --skill alternative-uses-task-designer -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install NeuroAIHub/BrainPilot alternative-uses-task-designer --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/NeuroAIHub/BrainPilot.git skills-src && mkdir -p .claude/skills && cp -r skills-src/packages/skills/skills/03_Cognitive_Psychology/alternative-uses-task-designer .claude/skills/alternative-uses-task-designer && rm -rf skills-srcUse ~/.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/
Install the "alternative-uses-task-designer" agent skill from https://github.com/NeuroAIHub/BrainPilot/tree/main/packages/skills/skills/03_Cognitive_Psychology/alternative-uses-task-designer into .claude/skills/alternative-uses-task-designer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "alternative-uses-task-designer", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/NeuroAIHub/BrainPilot/tree/main/packages/skills/skills/03_Cognitive_Psychology/alternative-uses-task-designerType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add NeuroAIHub/BrainPilot --skill alternative-uses-task-designer -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install NeuroAIHub/BrainPilot alternative-uses-task-designer --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/NeuroAIHub/BrainPilot.git skills-src && mkdir -p .agents/skills && cp -r skills-src/packages/skills/skills/03_Cognitive_Psychology/alternative-uses-task-designer .agents/skills/alternative-uses-task-designer && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "alternative-uses-task-designer" agent skill from https://github.com/NeuroAIHub/BrainPilot/tree/main/packages/skills/skills/03_Cognitive_Psychology/alternative-uses-task-designer into .agents/skills/alternative-uses-task-designer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "alternative-uses-task-designer", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add NeuroAIHub/BrainPilot --skill alternative-uses-task-designer -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install NeuroAIHub/BrainPilot alternative-uses-task-designer --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/NeuroAIHub/BrainPilot.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/packages/skills/skills/03_Cognitive_Psychology/alternative-uses-task-designer .cursor/skills/alternative-uses-task-designer && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "alternative-uses-task-designer" agent skill from https://github.com/NeuroAIHub/BrainPilot/tree/main/packages/skills/skills/03_Cognitive_Psychology/alternative-uses-task-designer into .cursor/skills/alternative-uses-task-designer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "alternative-uses-task-designer", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/NeuroAIHub/BrainPilot.git --path packages/skills/skills/03_Cognitive_Psychology/alternative-uses-task-designer--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add NeuroAIHub/BrainPilot --skill alternative-uses-task-designer -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install NeuroAIHub/BrainPilot alternative-uses-task-designer --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/NeuroAIHub/BrainPilot.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/packages/skills/skills/03_Cognitive_Psychology/alternative-uses-task-designer .gemini/skills/alternative-uses-task-designer && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "alternative-uses-task-designer" agent skill from https://github.com/NeuroAIHub/BrainPilot/tree/main/packages/skills/skills/03_Cognitive_Psychology/alternative-uses-task-designer into .gemini/skills/alternative-uses-task-designer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "alternative-uses-task-designer", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install NeuroAIHub/BrainPilot alternative-uses-task-designerInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add NeuroAIHub/BrainPilot --skill alternative-uses-task-designer -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/NeuroAIHub/BrainPilot.git skills-src && mkdir -p .github/skills && cp -r skills-src/packages/skills/skills/03_Cognitive_Psychology/alternative-uses-task-designer .github/skills/alternative-uses-task-designer && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "alternative-uses-task-designer" agent skill from https://github.com/NeuroAIHub/BrainPilot/tree/main/packages/skills/skills/03_Cognitive_Psychology/alternative-uses-task-designer into .github/skills/alternative-uses-task-designer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "alternative-uses-task-designer", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add NeuroAIHub/BrainPilot --skill alternative-uses-task-designer -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install NeuroAIHub/BrainPilot alternative-uses-task-designer --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/NeuroAIHub/BrainPilot.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/packages/skills/skills/03_Cognitive_Psychology/alternative-uses-task-designer .opencode/skills/alternative-uses-task-designer && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "alternative-uses-task-designer" agent skill from https://github.com/NeuroAIHub/BrainPilot/tree/main/packages/skills/skills/03_Cognitive_Psychology/alternative-uses-task-designer into .opencode/skills/alternative-uses-task-designer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "alternative-uses-task-designer", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
alternative-uses-task-designer- GitHub stars
- 1.1k
- Token cost
- ~3k tokens
- SKILL.md length
- 1,371 words
- Files
- 2 (incl. references)
- Skills in repo
- 59
- Repo updated
- First seen
- Licence
- AGPL-3.0
At a glance
Domain-validated guidance for designing Alternative Uses Task (AUT) experiments measuring divergent thinking, with parameters for AI-augmented and traditional conditions
- Works in 5 steps: State the research question — What… → Justify the method choice — Why AUT (not… → Declare expected outcomes — What pattern… → …
- Tasks that involve Brainstorming
- SKILL.md covers Purpose, When to Use This Skill, Research Planning Protocol and ⚠️ Verification Notice, plus 7 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Alternative Uses Task Designer is an agent skill from NeuroAIHub/BrainPilot. Domain-validated guidance for designing Alternative Uses Task (AUT) experiments measuring divergent thinking, with parameters for AI-augmented and traditional conditions
Its SKILL.md is about 3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/instruction-templates.md`).
It sits in Agent Workflows, covering Brainstorming. The repository describes itself as: BrainPilot: Automating Brain Discovery with Agentic Research. The licence is AGPL-3.0.
When your agent uses it
- Tasks that involve Brainstorming
Example prompts
- “/alternative-uses-task-designer”
Workflow steps
5 steps, taken from the first numbered list in SKILL.md.
- State the research question — What specific question is this AUT study addressing?
- Justify the method choice — Why AUT (not RAT, CAT, or other creativity tasks)? What alternatives were considered?
- Declare expected outcomes — What pattern of results would support vs. refute the hypothesis?
- Note assumptions and limitations — What does AUT assume about creativity? Where could it mislead?
- Present the plan to the user and WAIT for confirmation before proceeding.
What it can do on your machine
Read from SKILL.md and the folder at commit 93f6855. 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
Links to these hosts (documentation or services it may open):
github.comdoi.org
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
Alternative Uses Task Designer loads about 3k tokens when it runs, and up to ~3.7k if it reads all its reference files. Until then it costs about 50 tokens; SKILL.md has 1,371 words of instructions outside code blocks.
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 NeuroAIHub/BrainPilot at commit 93f6855, republished under its AGPL-3.0 licence (© NeuroAIHub). 1,371 words, ~2,955 tokens.
Download SKILL.mdSave it as
.claude/skills/alternative-uses-task-designer/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.- name
- alternative-uses-task-designer
- description
- Domain-validated guidance for designing Alternative Uses Task (AUT) experiments measuring divergent thinking, with parameters for AI-augmented and traditional conditions
- domain
- cognitive-psychology
- version
- 1.0.0
- papers
- Lee & Chung, 2024, Guilford, 1967, Wallach & Kogan, 1965, Reiter-Palmon et al., 2019
- dependencies.required
- research-literacy
- review_status
- ai-generated
Alternative Uses Task Designer
Purpose
This skill encodes expert methodological knowledge for designing Alternative Uses Task (AUT) experiments — the most widely used measure of divergent thinking in creativity research. It provides domain-specific parameter recommendations for stimulus selection, timing, condition design (including AI-augmented variants), online implementation, and quality control. A general-purpose programmer would not know the standard objects, timing constraints, scoring dimensions, or the critical design choices that determine whether an AUT experiment yields valid creativity data.
When to Use This Skill
- Designing a study measuring divergent thinking or creative ideation
- Setting up an AUT experiment with AI-assisted conditions (e.g., ChatGPT, web search)
- Choosing appropriate objects, timing, and instructions for an AUT
- Adapting the AUT for online administration (MTurk, Prolific, Qualtrics)
- Planning attention checks and exclusion criteria for creativity studies
Research Planning Protocol
Before executing the domain-specific steps below, you MUST:
- State the research question — What specific question is this AUT study addressing?
- Justify the method choice — Why AUT (not RAT, CAT, or other creativity tasks)? What alternatives were considered?
- Declare expected outcomes — What pattern of results would support vs. refute the hypothesis?
- Note assumptions and limitations — What does AUT assume about creativity? Where could it mislead?
- Present the plan to the user and WAIT for confirmation before proceeding.
For detailed methodology guidance, see the research-literacy skill.
⚠️ Verification Notice
This skill was generated by AI from academic literature. All parameters, thresholds, and citations require independent verification before use in research. If you find errors, please open an issue.
AUT Overview
The Alternative Uses Task (Guilford, 1967) asks participants to generate as many unusual uses as possible for a common everyday object within a fixed time limit. It is the standard measure of divergent thinking — the ability to generate multiple, varied, and novel ideas.
Core Parameters
| Parameter | Default | Source |
|---|---|---|
| Time limit | 5 minutes per object | Lee & Chung, 2024; Reiter-Palmon et al., 2019 |
| Number of objects | 1-3 per session | Silvia et al., 2008 |
| Response format | Open-ended text, one use per line | Reiter-Palmon et al., 2019 |
| Instructions emphasis | "unusual, creative, uncommon" uses | Guilford, 1967; Wallach & Kogan, 1965 |
Standard Objects
Objects should be concrete, familiar, and have many conventional uses so that departing from typical uses requires genuine creative thinking.
| Object | Commonly Used In | Source |
|---|---|---|
| Brick | Most widely validated | Guilford, 1967 |
| Paperclip | Classic Guilford item | Guilford, 1967 |
| Newspaper | Used in Lee & Chung, 2024 | Lee & Chung, 2024 |
| Cardboard box | Common alternative | Silvia et al., 2008 |
| Tin can | Common alternative | Wallach & Kogan, 1965 |
| Shoe | Frequently used | Reiter-Palmon et al., 2019 |
Avoid: Objects that are already unusual (e.g., "kaleidoscope") or that have very few conventional uses (e.g., "toothpick"). The task requires a clear baseline of common uses to depart from.
Condition Design
Standard Conditions (Creativity Research)
Is the study examining AI's impact on creativity?
|
+-- YES --> Include at minimum:
| 1. AI-assisted condition (e.g., ChatGPT access)
| 2. No-assistance control
| 3. [Recommended] Web search control (Lee & Chung, 2024, Exp 2A/2B)
|
+-- NO --> Standard AUT with:
1. Experimental manipulation (priming, mood, instructions)
2. Control condition (neutral or baseline)AI-Augmented Design (Lee & Chung, 2024)
For studying AI's impact on creativity:
| Condition | Participant Instructions | Implementation |
|---|---|---|
| ChatGPT | "You may use ChatGPT to assist you" | Embed ChatGPT in new browser tab; record interaction logs |
| Web Search | "You may use web search to assist you" | Allow Google/Bing access; record search queries |
| No Assistance | "Complete the task on your own" | Disable external tool access |
Critical design decisions:
- Between-subjects assignment to conditions (Lee & Chung, 2024) — avoids carryover effects
- Random assignment via survey platform (Qualtrics randomizer)
- Cover story: Frame as "idea generation study," not "creativity study" to reduce demand characteristics
- Manipulation check: Ask participants whether they used the assigned tool
Online Implementation
Platform Specifications
| Parameter | Recommendation | Source |
|---|---|---|
| Platform | Qualtrics (survey) + MTurk/Prolific (recruitment) | Lee & Chung, 2024 |
| Sample size per condition | 100-200 for between-subjects AUT | Lee & Chung, 2024 (N=256 in Exp 2B) |
| Compensation | Prolific minimum + bonus for completion | Lee & Chung, 2024 |
| Estimated duration | 15-25 minutes total session | Lee & Chung, 2024 |
Attention and Quality Checks
- Attention check questions — Embed 1-2 instructed-response items (e.g., "Please select 'Strongly Agree' for this item") (Oppenheimer et al., 2009)
- Seriousness check — Post-task: "Did you take this study seriously?" (Lee & Chung, 2024)
- Gibberish detection — Flag responses that are incoherent or clearly auto-generated
- Minimum response threshold — Exclude participants with <2 responses (indicates disengagement)
- Duplicate detection — Check for repeated responses within a participant
- Bot detection — reCAPTCHA or honeypot fields; check completion time (exclude if <3 minutes)
Exclusion Criteria (Lee & Chung, 2024)
- Failed attention check: exclude
- Self-reported not taking study seriously: exclude
- Completion time <3 minutes or >60 minutes: flag for review
- Fewer than 2 responses on AUT: exclude
- Non-native speakers (if language fluency is critical): exclude or control for
Additional Measures
Baseline Creativity
| Measure | Items | Duration | What It Captures | Source |
|---|---|---|---|---|
| RAT (Remote Associates Test) | 15 items | ~5 min | Convergent thinking | Mednick, 1962; Lee & Chung, 2024 |
| Creative Achievement Questionnaire | 10 domains | ~5 min | Real-world creative accomplishment | Carson et al., 2005 |
| Creative Self-Efficacy Scale | 3 items, 5-point Likert | <1 min | Belief in own creative ability | Tierney & Farmer, 2002 |
Show full SKILL.md (583 more words)Show less
Mediators / Moderators (Lee & Chung, 2024)
- Creative self-efficacy — 3-item scale (Tierney & Farmer, 2002): "I have confidence in my ability to solve problems creatively," "I feel that I am good at generating novel ideas," "I have a knack for further developing the ideas of others." 5-point Likert (1 = strongly disagree to 5 = strongly agree)
- Task engagement — Self-report items on effort and involvement
- AI reliance — Whether and how extensively participants used the AI tool
Common Pitfalls
Using "creative" in instructions without care: Telling participants to "be creative" changes the scoring profile — it increases originality but may decrease fluency. Decide a priori and keep consistent across conditions (Nusbaum et al., 2014).
Confounding fluency with originality: Participants who generate more ideas statistically have a higher chance of producing rare ideas. Either control for fluency when analyzing originality, or use ratio-based measures (Silvia et al., 2008).
Not controlling for AI-generated text: In AI-augmented conditions, participants may copy-paste AI outputs. Record interaction logs and code whether responses are self-generated, AI-assisted, or directly copied (Lee & Chung, 2024).
Ignoring the web search control: Comparing ChatGPT only to no-assistance confounds AI-specific effects with general information access effects. Include a web search condition as active control (Lee & Chung, 2024, Exp 2A/2B).
Insufficient sample size for between-subjects: AUT effect sizes for condition differences are typically small-to-medium (d ≈ 0.3-0.5). Plan for N ≥ 100 per condition (Lee & Chung, 2024).
Administering multiple objects sequentially without counterbalancing: Practice effects and fatigue can confound results. Counterbalance object order across participants (Reiter-Palmon et al., 2019).
Minimum Reporting Checklist
Based on Lee & Chung (2024) and Reiter-Palmon et al. (2019):
- Object(s) used and rationale for selection
- Time limit per object
- Exact wording of instructions (verbatim or cited)
- Condition descriptions and assignment method (random, counterbalanced)
- Sample size per condition with power justification
- Platform and recruitment source (MTurk, Prolific, lab)
- Attention check and exclusion criteria with exclusion counts
- For AI conditions: AI model and version, access method, interaction logging
- Scoring method used (fluency, flexibility, originality, semantic distance) — see
divergent-thinking-scoringskill - Inter-rater reliability for subjective scores (ICC or Cohen's kappa)
- Pre-registration status and link
References
- Carson, S. H., Peterson, J. B., & Higgins, D. M. (2005). Reliability, validity, and factor structure of the Creative Achievement Questionnaire. Creativity Research Journal, 17(1), 37-50.
- Guilford, J. P. (1967). The nature of human intelligence. McGraw-Hill.
- Lee, B. C., & Chung, J. (2024). An empirical investigation of the impact of ChatGPT on creativity. Nature Human Behaviour. https://doi.org/10.1038/s41562-024-01953-1
- Mednick, S. A. (1962). The associative basis of the creative process. Psychological Review, 69(3), 220-232.
- Nusbaum, E. C., Silvia, P. J., & Beaty, R. E. (2014). Ready, set, create: What instructing people to "be creative" reveals about the meaning and mechanisms of divergent thinking. Psychology of Aesthetics, Creativity, and the Arts, 8(4), 423-432.
- Oppenheimer, D. M., Meyvis, T., & Davidenko, N. (2009). Instructional manipulation checks. Journal of Experimental Social Psychology, 45(4), 867-872.
- Reiter-Palmon, R., Forthmann, B., & Barbot, B. (2019). Scoring divergent thinking tests: A review and systematic framework. Psychology of Aesthetics, Creativity, and the Arts, 13(2), 144-152.
- Silvia, P. J., Winterstein, B. P., Willse, J. T., et al. (2008). Assessing creativity with divergent thinking tasks: Exploring the reliability and validity of new subjective scoring methods. Psychology of Aesthetics, Creativity, and the Arts, 2(2), 68-85.
- Tierney, P., & Farmer, S. M. (2002). Creative self-efficacy: Its potential antecedents and relationship to creative performance. Academy of Management Journal, 45(6), 1137-1148.
- Wallach, M. A., & Kogan, N. (1965). Modes of thinking in young children. Holt, Rinehart and Winston.
See references/ for detailed instruction templates and object selection guide.
© NeuroAIHub, AGPL-3.0. 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 (references) in packages/skills/skills/03_Cognitive_Psychology/alternative-uses-task-designer of NeuroAIHub/BrainPilot.
- SKILL.md
- references/instruction-templates.md
Open the folder on GitHubat commit 93f6855
Compare with similar skills
Alternative Uses Task Designer 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
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| Brainstorm Ideas Existingphuryn/pm-skills | 27k | — | ~736 | Automated safety check: Pass | MIT | |
| Brainstorm Ideas Newphuryn/pm-skills | 27k | — | ~608 | Automated safety check: Pass | MIT | |
| Idea Signal MapperWILLOSCAR/research-units-pipeline-skills | 513 | — | ~336 | Automated safety check: Pass | None | |
| ImagineerQinghongLin/data2story-skill | 155 | — | ~3.2k | Automated safety check: Notes | MIT | |
| Write PlanArman-Kudaibergenov/1c-ai-development-kit | 166 | — | ~1.3k | Automated safety check: Notes | AGPL-3.0 |
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Questions about Alternative Uses Task Designer
What does Alternative Uses Task Designer do?
Domain-validated guidance for designing Alternative Uses Task (AUT) experiments measuring divergent thinking, with parameters for AI-augmented and traditional conditions. Alternative Uses Task Designer is an agent skill from NeuroAIHub/BrainPilot.
When should I use Alternative Uses Task Designer?
Alternative Uses Task Designer fits situations like: tasks that involve Brainstorming.
How do I install Alternative Uses Task Designer in Claude Code?
Run `npx skills add NeuroAIHub/BrainPilot --skill alternative-uses-task-designer -a claude-code`. Or copy the skill folder (packages/skills/skills/03_Cognitive_Psychology/alternative-uses-task-designer in NeuroAIHub/BrainPilot) into .claude/skills/alternative-uses-task-designer in your project. Claude Code loads it when a task matches its description.
How do I install Alternative Uses Task Designer in Codex?
Run `npx skills add NeuroAIHub/BrainPilot --skill alternative-uses-task-designer -a codex`. Or copy the skill folder (packages/skills/skills/03_Cognitive_Psychology/alternative-uses-task-designer in NeuroAIHub/BrainPilot) into .agents/skills/alternative-uses-task-designer in your project. Codex loads it when a task matches its description.
Can I use Alternative Uses Task Designer 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 NeuroAIHub/BrainPilot --skill alternative-uses-task-designer -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/alternative-uses-task-designer, .gemini/skills/alternative-uses-task-designer, .github/skills/alternative-uses-task-designer and .opencode/skills/alternative-uses-task-designer in your project.
What does Alternative Uses Task Designer need to run?
SKILL.md names no scripts, command-line tools or credentials: Alternative Uses Task Designer is instructions for the agent only.
Does Alternative Uses Task Designer access the network?
SKILL.md names 2 domains. As links in the text: github.com and doi.org. This is read from the text; nothing was executed.
Is Alternative Uses Task Designer 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 Alternative Uses Task Designer use?
Alternative Uses Task Designer is published under the AGPL-3.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Alternative Uses Task Designer use?
About 3k tokens (SKILL.md is roughly 12k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 786 tokens, read only when the agent opens those files.
What are the alternatives to Alternative Uses Task Designer?
Skills that share tags, products or a category with Alternative Uses Task Designer: Brainstorm Ideas Existing (phuryn/pm-skills, 27k stars), Brainstorm Ideas New (phuryn/pm-skills, 27k stars), Idea Signal Mapper (WILLOSCAR/research-units-pipeline-skills, 513 stars) and Imagineer (QinghongLin/data2story-skill, 155 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Alternative Uses Task Designer?
NeuroAIHub (a GitHub organization) maintains it in NeuroAIHub/BrainPilot, which has 1,062 GitHub stars. The repository holds 59 skills in this directory. The repository was last updated on October 2, 2026.
Source: NeuroAIHub/BrainPilot on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.