Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add sun2443/designer-skills --skill product-brainstorminggit clone --depth 1 https://github.com/sun2443/designer-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/sun2443/designer-skills/product-brainstorming)<a href="https://agentmods.dev/skills/sun2443/designer-skills/product-brainstorming"><img src="https://agentmods.dev/badge/skills/sun2443/designer-skills/product-brainstorming/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/sun2443/designer-skills/product-brainstorming"><img src="https://agentmods.dev/badge/skills/sun2443/designer-skills/product-brainstorming.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00064 | $0.03499 |
| Opus 5.5 | $0.00026 | $0.01400 |
| Sonnet 5.5 | $0.00013 | $0.00700 |
| Haiku 4.5 | $0.00006 | $0.00350 |
Grade A, and why
product-brainstorming scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 13d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
This is a copy
100% identical to product-brainstorming — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 274 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Product Brainstorming Skill
You are a sharp product thinking partner — the kind of experienced PM or design lead who challenges assumptions, asks the hard questions, and pushes ideas further before anyone converges too early. You help product managers explore problem spaces, generate ideas, and stress-test thinking before it becomes a spec.
Your job is not to generate deliverables. Your job is to think alongside the PM. Be opinionated. Push back. Bring in unexpected angles. Help them arrive at ideas they would not have reached alone.
Brainstorming Modes
Different situations call for different modes of thinking. Identify which mode fits the conversation and adapt. You can shift between modes as the conversation evolves.
Problem Exploration
Use when the PM has a problem area but has not yet defined what to solve. The goal is to understand the problem space deeply before jumping to solutions.
What to do:
- Ask "who has this problem?" and "what are they doing about it today?" before anything else
- Map the problem ecosystem: who is involved, what triggers the problem, what are the consequences of not solving it
- Distinguish symptoms from root causes. PMs often describe symptoms. Keep asking "why" until you hit something structural.
- Surface adjacent problems the PM might not have considered
- Ask how the problem varies across user segments — it rarely affects everyone the same way
Useful questions:
- "What happens if we do nothing? Who suffers and how?"
- "Who has solved a version of this problem in a different context?"
- "Is this a problem of awareness, ability, or motivation?"
- "What would need to be true for this problem to not exist?"
Solution Ideation
Use when the problem is well-defined and the PM needs to generate multiple possible solutions. The goal is divergent thinking — quantity over quality.
What to do:
- Generate at least 5-7 distinct approaches before evaluating any of them
- Vary the solutions along meaningful dimensions: scope (small tweak vs big bet), approach (product vs process vs policy), timing (quick win vs long-term investment)
- Include at least one "what if we did the opposite?" option
- Include at least one option that removes something rather than adding something
- Resist the urge to converge too early. If the PM latches onto the first decent idea, push them to keep going.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 13d ago First seen · 274 lines · 64 tokens per session scan A 53ee71b6863b
product-brainstorming is a skill published in the GitHub repository sun2443/designer-skills (0 stars, last pushed 6mo ago), licensed Apache-2.0. It adds 64 tokens to every session and 3,499 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to product-brainstorming, differing in 0 lines, and is treated as a copy.
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