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Product management swarm

Skill MARUCIE/openclaw-foundry/web/public/packs/strategy-roundtable-advisor/skills/product-management-swarm

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Install
npx -y skills add MARUCIE/openclaw-foundry --skill product-management-swarm

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

  • 1 stars1 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

What its author says it does

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> SWARM (parallel experts, dynamic selection) | 产品战略、用户研究、市场分析、功能优先级、商业模型、竞品分析

SKILL.md

4.0 KB, ~1.3k tokens by cl100k_base, as published. Nobody here has run it

Product Management & Strategy

SWARM (parallel experts, dynamic selection) | 产品战略、用户研究、市场分析、功能优先级、商业模型、竞品分析

Skills (97 available)

  • ansoff-matrix
  • beachhead-segment
  • brainstorm-experiments-existing
  • brainstorm-experiments-new
  • brainstorm-ideas-existing
  • brainstorm-ideas-new
  • brainstorm-okrs
  • business-model
  • competitive-battlecard
  • competitor-analysis
  • compliance
  • create-prd
  • customer-journey-map
  • draft-nda
  • growth-loops
  • gtm-motions
  • gtm-strategy
  • ideal-customer-profile
  • identify-assumptions-existing
  • identify-assumptions-new
  • interview-script
  • job-stories
  • lean-canvas
  • market-segments
  • market-sizing
  • marketing-ideas
  • marketing-skills
  • metrics-dashboard
  • monetization-strategy
  • north-star-metric
  • opportunity-solution-tree
  • outcome-roadmap
  • pestle-analysis
  • pm-cmd-analyze-cohorts
  • pm-cmd-analyze-feedback
  • pm-cmd-analyze-test
  • pm-cmd-battlecard
  • pm-cmd-brainstorm
  • pm-cmd-business-model
  • pm-cmd-competitive-analysis
  • pm-cmd-discover
  • pm-cmd-draft-nda
  • pm-cmd-generate-data
  • pm-cmd-growth-strategy
  • pm-cmd-interview
  • pm-cmd-market-product
  • pm-cmd-market-scan
  • pm-cmd-meeting-notes
  • pm-cmd-north-star
  • pm-cmd-plan-launch
  • pm-cmd-plan-okrs
  • pm-cmd-pre-mortem
  • pm-cmd-pricing
  • pm-cmd-privacy-policy
  • pm-cmd-proofread
  • pm-cmd-research-users
  • pm-cmd-review-resume
  • pm-cmd-setup-metrics
  • pm-cmd-sprint
  • pm-cmd-stakeholder-map
  • pm-cmd-strategy
  • pm-cmd-tailor-resume
  • pm-cmd-test-scenarios
  • pm-cmd-transform-roadmap
  • pm-cmd-triage-requests
  • pm-cmd-value-proposition
  • pm-cmd-write-prd
  • pm-cmd-write-query
  • pm-cmd-write-stories
  • industry-forces
  • positioning-ideas
  • pre-mortem
  • pricing-strategy
  • prioritization-frameworks
  • prioritize-assumptions
  • prioritize-features
  • privacy-policy
  • product-name
  • product-strategy
  • product-tri-ownership
  • product-vision
  • release-notes
  • review-resume
  • rpi-implement
  • rpi-plan
  • rpi-research
  • stakeholder-map
  • startup-canvas
  • swot-analysis
  • test-scenarios
  • tri-ownership
  • user-personas
  • user-segmentation
  • user-stories
  • value-prop-statements
  • value-proposition
  • wwas

How to Use

  1. Match the user's task to the most relevant sub-skill above
  2. Read the matching canonical skill file in this repo (for example skills/shared/<skill-name>/SKILL.md, skills_infra/shared/<skill-name>/SKILL.md, or layers/L3-intelligence/skills/skills/<skill-name>/SKILL.md) or the installed host mirror when working outside the repo
  3. Follow the SPEC.md instructions
  4. If multiple skills apply, combine their approaches

是什么

Product Management & Strategy 用来把 战略圆桌顾问 场景里的任务输入转成可执行的流程、检查清单和交付物。

SWARM (parallel experts, dynamic selection) | 产品战略、用户研究、市场分析、功能优先级、商业模型、竞品分析

它的价值在于让 战略决策线 在 Claude Code、Codex、Gemini、Hermes 或 OpenClaw 中复用同一套岗位能力,而不是依赖一次性的聊天提示词。

怎么用

  1. 明确当前任务目标、输入材料、约束和期望交付物,再加载 product-management-swarm
  2. 按 skill 文档中的流程、检查清单或工具建议执行,优先复用仓库已有规范与真实命令。
  3. 把关键判断、风险、验证命令和产出路径记录到当前任务文档或交付说明中。
  4. 用最小可证明的检查确认结果有效;发现缺口时回到 skill 清单补齐。

架构图

flowchart LR
  A[任务输入] --> B[加载 Product Management & Strategy]
  B --> C[执行流程与检查清单]
  C --> D[生成交付物与风险记录]
  D --> E[验证结果并沉淀复盘]

Keep looking

Skills are one crate of 328,083. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.