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 agentmods add skills/tranhieutt/software_development_department/brainstormnpx skills add tranhieutt/software_development_department --skill brainstormgit clone --depth 1 https://github.com/tranhieutt/software_development_departmentWrote 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/tranhieutt/software_development_department/brainstorm)<a href="https://agentmods.dev/skills/tranhieutt/software_development_department/brainstorm"><img src="https://agentmods.dev/badge/skills/tranhieutt/software_development_department/brainstorm.svg" alt="Measured on agentmods" 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 | $0.00048 | $0.02800 |
| Opus 5 | $0.00024 | $0.01400 |
| Sonnet 5 | $0.00010 | $0.00560 |
| Haiku 4.5 | $0.00005 | $0.00280 |
Grade A, and why
brainstorm 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 6d 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.
How it starts
The opening of the file, as written. The whole thing — 252 lines — stays where its author put it; the contents beside it link to each section on GitHub.
When this skill is invoked:
-
Parse the argument for an optional product type or problem hint (e.g.,
productivity app,API service,developer tool,marketplace). Ifopenor no argument, start from scratch. -
Check for existing concept work:
- Read
design/docs/product-concept.mdif it exists (resume, don't restart) - Read
design/docs/product-pillars.mdif it exists (build on established pillars)
- Read
-
Run through ideation phases interactively, asking the user questions at each phase. Do NOT generate everything silently — the goal is collaborative exploration where the AI acts as a product thinking facilitator, not a replacement for the human's vision.
Use
AskUserQuestionat key decision points throughout brainstorming:- Constrained taste questions (product type, target users, scope)
- Concept selection ("Which 2-3 concepts resonate?") after presenting options
- Direction choices ("Develop further, explore more, or start sprint planning?")
- Pillar ranking after concepts are refined
Write full analysis in conversation text first, then use
AskUserQuestionto capture the decision with concise labels.Professional product brainstorming principles to follow:
- Withhold judgment — no idea is bad during exploration
- Encourage unusual ideas — outside-the-box thinking sparks better products
- Build on each other — "yes, and..." responses, not "but..."
- Use constraints as creative fuel — limitations often produce the best ideas
- Time-box each phase — keep momentum, don't over-deliberate early
Phase 1: Creative Discovery
Start by understanding the person and their context, not the product. Ask these questions conversationally (not as a checklist):
Problem anchors:
- What's a frustrating problem you personally experience that no existing tool solves well?
- Is there a workflow, process, or task you've always wished was easier or more automated?
Experience profile:
- What 3 products (apps, tools, APIs, services) do you use most? What keeps you coming back?
- Are there product categories you love or actively avoid? Why?
- Do you prefer products that save time, reduce complexity, enable creativity, or connect people?
Practical constraints (shape the sandbox before brainstorming):
- Solo developer or team? What skills and resources are available?
- Timeline: weeks (MVP), months (v1), or years (full product)?
- Any platform constraints? (Web only? Mobile? API-first? Desktop?)
- First product or experienced builder?
- Revenue model in mind? (SaaS, open source, freemium, one-time purchase?)
Synthesize the answers into a Product Brief — a 3-5 sentence summary of the person's goals, experience context, and constraints. Read the brief back and confirm it captures their intent.
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.
- 6d ago First seen · 252 lines · 48 tokens per session scan A 67191e07662a
brainstorm is a skill published in the GitHub repository tranhieutt/software_development_department (71 stars, last pushed 3mo ago), licensed MIT. It adds 48 tokens to every session and 2,800 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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