pm-brainstorm

pm-brainstorm is a skill for Claude Code from konglong87/superPM. It costs 123 tokens per session (6,338 once invoked), scanned A, original, MIT.

A guided brainstorming workflow for exploring a new product idea before detailed research or requirements work. It collects basic information about the product, users, and problem through staged questions.

In plain words
What is it for?
It helps explore product directions, identify the underlying problem, and prepare the information needed for later discovery and planning.
Why use it?
It helps turn an early, unclear idea into a clearer starting point while checking existing research and confirming important assumptions with the user.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: reads .claude/ paths; mentions subagents; names the AskUserQuestion tool.

Part of the super-pm plugin — 57 skills, 1 hook shipped together

Good fit It helps explore product directions, identify the underlying problem, and prepare the information needed for later discovery and planning.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/konglong87/superpm/pm-brainstorm
Install

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.

Any agent
npx skills add konglong87/superPM --skill pm-brainstorm
Clone the repo
git clone --depth 1 https://github.com/konglong87/superPM

Made for: Claude Code.

Or install super-pm, the plugin that ships this one along with the rest of its 57 skills, 1 hook.

Wrote 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.

agentmods badge for pm-brainstorm

README.md
[![agentmods](https://agentmods.dev/badge/skills/konglong87/superpm/pm-brainstorm/github.svg)](https://agentmods.dev/skills/konglong87/superpm/pm-brainstorm)
Your own site
<a href="https://agentmods.dev/skills/konglong87/superpm/pm-brainstorm"><img src="https://agentmods.dev/badge/skills/konglong87/superpm/pm-brainstorm/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.

agentmods 80×15 button for pm-brainstorm

Your own site · 80×15
<a href="https://agentmods.dev/skills/konglong87/superpm/pm-brainstorm"><img src="https://agentmods.dev/badge/skills/konglong87/superpm/pm-brainstorm.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 123 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 6,338 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00123 $0.06338
Opus 5.5 $0.00049 $0.02535
Sonnet 5.5 $0.00025 $0.01268
Haiku 4.5 $0.00012 $0.00634

Measured 26d ago against content hash 8a54bc621e9e, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

pm-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 26d 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.

skills/01-demand-insight/pm-brainstorm/SKILL.md · 692 lines

How it starts

The opening of the file, as written. The whole thing — 692 lines — stays where its author put it; the contents beside it link to each section on GitHub.

输入与模式

先判断用户要的是简短讨论还是正式创意方案库。只讨论时不写文件、不创建目录;已有相关且有效的资料可复用,无需重复提问。仅在正式生成方案库且确认目标位置后创建 docs/01-需求调研/。只问缺失的关键信息,用户随时可以停止或跳过某种思考方法;不要把跳过的探索说成完成。


跨 Agent 交互规则

当流程要求与用户交互时:

  1. 如果当前环境支持 AskUserQuestion,使用 AskUserQuestion(最佳体验)。
  2. 如果当前环境不支持 AskUserQuestion,必须用普通聊天消息提出同样问题。
  3. 一次只问一个问题。
  4. 提问后必须停止当前回合,等待用户回答(STOP and WAIT)。
  5. 只讨论时不写文件;正式产物仅在用户要求并确认路径后写入。
  6. 已有相关且有效的 docs 可以复用,无需重复提问;不相关资料不能替代证据。

执行流程

下述为正式方案库模式的详细步骤。轻量讨论只做用户关心的部分,直接在聊天中给出可验证的方向;用户可停止或跳过方法步骤。跳过时标注未探索的部分,不伪称流程已完成。

例外:在步骤 3.3 中,用户选择 G“跳过整个挑战环节”时,跳过该环节并直接进入下个步骤。

步骤 1: 读取前置数据

如果存在需求调研报告:

使用 Read 工具读取 docs/01-需求调研/需求调研报告.md 作为参考。

若无法从内容判断已有报告是否与当前产品相关,再询问用户;相关且有效的内容直接复用。

使用 AskUserQuestion 询问:

检测到已有需求调研报告,是否适用于当前产品?

A) 适用 — 基于已有报告继续,但仍需确认关键信息是否准确 B) 不适用 / 不确定 — 进入快速模式,重新收集基础信息

跨 Agent 兜底:如果当前环境不支持 AskUserQuestion,用普通聊天消息提出同样问题,然后 STOP and WAIT for user response。

  • 用户确认适用 → 提取已有信息;只问缺失或过期的关键内容,无需逐项重复确认。
  • 用户确认不适用 / 不确定 → 进入快速模式,使用 AskUserQuestion 收集基础信息。

如果没有需求调研报告:

进入快速模式,使用 AskUserQuestion 收集基础信息:

仅在这些信息确实缺失且决定方向时逐一提问;已给出的信息直接使用。

📝 快速模式 - 请提供基础信息:

问题1:产品名称是什么? → STOP and WAIT for user response

问题2:目标用户是谁? → STOP and WAIT for user response

问题3:核心痛点是什么? → STOP and WAIT for user response

跨 Agent 兜底:如果当前环境不支持 AskUserQuestion,用普通聊天消息提出同样问题,然后 STOP and WAIT for user response。


步骤 2: 确定发散方向

使用 AskUserQuestion 询问:

正式方案库需要确定发散方向;轻量讨论可基于现有信息给初步选项,并标注假设。

🎯 我要探索产品的哪个方向?

A) 产品功能创新 - 探索核心功能、差异化特性 B) 用户增长方案 - 如何获取、激活、留存用户 C) 商业模式设计 - 如何变现、构建可持续商业模式 D) 用户体验优化 - 如何提升易用性、满意度 E) 灵感火花激发 - 我不知道做什么,需要AI帮我找灵感(v2.1新增) F) 其他方向(请手动输入)

跨 Agent 兜底:如果当前环境不支持 AskUserQuestion,用普通聊天消息提出同样问题,然后 STOP and WAIT for user response。

用户选择后,记录到变量 BRAINSTORM_DIRECTION


如果选择"灵感火花激发"(v2.1新增):

适用场景:用户不知道做什么产品,需要AI主动激发灵感

执行流程:

步骤 2.1: 灵感维度扫描 & Subagent 并行搜索(核心优化)

AI 提示用户:

🔍 灵感火花激发引擎启动(Subagent 并行模式)

我将同时从4个维度搜索灵感源,请稍候...

  • 行业痛点 → Subagent 1
  • 技术趋势 → Subagent 2
  • 生活场景 → Subagent 3
  • 跨界灵感 → Subagent 4

Read the full file on GitHub · 692 lines

Changes

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.

  1. 26d ago Changed · -9 lines 8a54bc621e9e
  2. 1mo ago Changed · +9 lines 22f4c6c845dd
  3. 1mo ago First seen · 692 lines · 123 tokens per session scan A bfd389c6d66a

Subscribe to this mod's changes

pm-brainstorm is a skill published in the GitHub repository konglong87/superPM (77 stars, last pushed 7d ago), licensed MIT. It adds 123 tokens to every session and 6,338 once invoked, about $0.0005 per session on Opus 5.5. 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.