partnerships-architect
用于决定是否签约合作伙伴、以哪个层级签约（推荐、经销商、OEM、SI、联盟），以及采用何种联合 GTM 和收入分成。运行 partner_tier_classifier.py、revshare_modeler.py 和 joint_gtm_planner.py。
机器翻译查看英文原文
Use when deciding whether to sign a partner, at which tier (referral, reseller, OEM, SI, alliance), with what joint GTM and revshare. Runs partner_tier_classifier.py, revshare_modeler.py and joint_gtm_planner.py.
适用对象：对象待分类。自动收录 · 待核查。
原作者说明节选
从固定版本的 SKILL.md 提取，保留原文语言。以下内容属于作者说明，本站尚未验证安装、兼容或运行结果。
查看英文原文
原文涵盖的主题
- partnerships-architect
- Purpose
- When to use
- Workflow
- Step 1 — Intake (≈ 20 min)
- Step 2 — Tier classify
- Step 3 — Joint GTM plan
- Step 4 — Revshare model
Help Head of Partnerships, Head of BD, and Founder-CEOs answer four questions when a prospective partner shows up: 1. Is this a real partner, or someone hunting preferential terms without independent demand? 2. At what tier should we sign them? (Referral / Reseller / OEM / SI-Consulting / Strategic Alliance) 3. What's the 90-day joint GTM plan that proves the partnership works? 4. What revshare makes economic sense — and at what point does the partnership beat direct sale? The skill emits a tier verdict + GTM plan + revshare band with explicit kill criteria. It does not sign the deal. The human, after running this skill, decides. A prospective partner has approached and asked for reseller / OEM / "strategic" terms You're designing a new partner program tier structure You're reviewing an existing partnership that's underperforming and need to decide: re-tier, restructure GTM, or unwind A Big Logo wants a "strategic alliance" — and you need to validate it's real, not vendor-lock theatre A consulting firm or SI wants services revshare on your product A platform vendor offers OEM / white-label and you need to model the math You suspect "partner-sourced" deals are actually your own pipe
这里只展示节选，请以完整原文和当前要求为准。
- 来源仓库
- alirezarezvani/claude-skills
- 源文件
- commercial/skills/partnerships-architect/SKILL.md
- 固定版本
- 8f082544116fc0d014188e521ca40304cdfc86b0
准备条件
- 本条仅收录原作者的技能元数据；请阅读完整说明，确认依赖、许可与使用条件。
第一件可以尝试的小事
先阅读原作者说明，再决定是否在自己的 AI 工具中使用。
对应 AI 工具说明
作者有说明不等于本站实机验证。没有证据时，不自动标为兼容、安全或免费。
来源与内容状态
本条为自动发现的元数据，尚未完成人工文档核查；适用性与运行结果待核查。
原作者：alirezarezvani/claude-skills · 原作者仓库元数据。文档核查：未核查。最近来源检查：2026-11-09T14:01:46.275Z。
分类由名称、说明与路径规则生成，分类不代表已核实适配。
许可与权利归属
MIT。第三方内容及版权归原作者，使用条件以原文为准。
许可原文 ↗本站没有因同步、复制或用户自报成功而将资源标为运行验证通过。
限制与注意事项
- 元数据收录不代表本站已经安装、适配、实测或进行安全审查。