Build and scale partner ecosystems that drive revenue and platform adoption. These aren't theory — they're patterns from building partner programs that drove 8-figure ARR and observing partnerships with real economic commitment.
Works with
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versiongtm-partnership-architectureExecute the skills CLI command in your project's root directory to begin installation:
Fetches gtm-partnership-architecture from github/awesome-copilot and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate gtm-partnership-architecture. Access via /gtm-partnership-architecture in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
Submit your Claude Code skill and start earning
Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
0
total installs
0
this week
28.7K
GitHub stars
0
upvotes
Run in your terminal
0
installs
0
this week
28.7K
stars
Build and scale partner ecosystems that drive revenue and platform adoption. These aren't theory — they're patterns from building partner programs that drove 8-figure ARR and observing partnerships with real economic commitment.
Triggers:
Context:
The Pattern:
Most "partnerships" are co-marketing theater. Joint webinars, logo swaps, press releases. No economic commitment. No real skin in the game.
Real partnerships look different:
How to Tell the Difference:
Ask: "If this partnership fails, what does each side lose?"
If the answer is "nothing" — it's not a partnership. It's a handshake.
The best partnerships I've seen involved uncomfortable commitments on both sides. Multi-year cloud spend commitments. Dedicated engineering teams. Revenue guarantees. The discomfort is the point — it forces both sides to make the partnership work.
Framework: Three-Sided Value Proposition
Every successful partnership creates clear value for three parties:
Your Company:
The Partner:
Shared Customers:
Decision Criteria:
Before pursuing any partnership, answer:
If both sides can walk away with zero cost, it's not a partnership — it's a handshake.
Common Mistake:
Treating "partnerships" as marketing announcements. Integration launches, joint webinars, co-branded content. These create buzz, not business. Real partnerships require uncomfortable commitments.
The Developer Marketplace Decision:
Running ecosystem at a platform company during hypergrowth. Leadership debate: Open the network to anyone, or curate for quality?
Quality control camp: "We need gatekeeping. Otherwise we'll get SEO spam, low-quality APIs, brand damage."
Open network camp: "Developers route around gatekeepers. Network effects matter more than quality control."
The decision: Went open. Quality concerns were real, but we made a bet: Control comes from discovery + trust layers, not submission gatekeeping.
What We Built Instead of Gatekeeping:
Result: Network effects won. Thousands of APIs published. Quality surfaced through usage, not through us deciding upfront.
The Pattern:
Curated ecosystem (Gatekeeper Model):
Open ecosystem (Discovery Model):
When to Use Which:
Is brand damage risk high if low-quality partners join?
├─ Yes (regulated, security-critical) → Curated
└─ No → Continue...
│
Can you scale human review?
├─ No (thousands of potential partners) → Open
└─ Yes (dozens of partners) → Curated
Common Mistake:
Defaulting to curated because "we need quality control." This works when you have 10 partners. At 100+, you become the bottleneck. Build discovery and trust systems instead.
The Certification Wedge:
Early in a cloud partnership, looking for channel leverage. Targeting managed service providers (MSPs).
The insight: Buried in the cloud provider's partner program requirements: "Must include [our product category] in certified stack."
The play: Built entire partnership pitch around that one line. MSPs didn't just want our product — they needed it to maintain certification.
Result: We became required, not "nice to have." Closed MSP deals 3x faster than generic partnerships.
Framework: Partnership Leverage Types
1. Requirement leverage (Strongest)
2. Economic leverage (Strong)
3. Competitive leverage (Moderate)
4. Customer leverage (Moderate)
5. Co-marketing leverage (Weak)
How to Apply:
Before pitching partnership, identify your leverage:
High leverage (requirements, economics) → Full partnership investment Moderate leverage (competitive, customer) → Light partnership, test first Low leverage (co-marketing only) → Don't do it, you'll waste time
The Qualification Question:
"If we don't do this partnership, what happens to you?"
Common Mistake:
Pitching partnerships based on your benefit, not theirs. "We want access to your customers" is co-marketing theater. "You'll maintain cloud provider certification" is leverage.
Structure partner programs into clear tiers based on commitment and capability:
Tier 1: Integration Partner (Self-Serve)
Tier 2: Partnership Partner (Joint Development)
Tier 3: Strategic Partner (Co-Development)
Decision Criteria:
Common Mistake:
Treating all partners equally. Tier 1 partners want self-serve, Tier 3 want white-glove. Mismatch creates frustration.
De-risk partnerships with phased validation before full commitment.
Crawl (4-8 weeks):
Walk (8-12 weeks):
Run (6-12 months ongoing):
The Pattern:
Most partnerships fail in Crawl phase. That's good — you learn fast with minimal investment.
Common Mistakes:
Go/No-Go Criteria:
After Crawl:
After Walk:
Enter Run Only If:
If you can't articulate what each party gets, the partnership will fail.
Partnership Charter (Required Before Launch):
Mutual Goals:
Value Exchange:
Timeline:
Measurement:
Governance:
The Signature Test:
Both sides should sign the charter. If either side won't commit to paper, there's no real partnership.
Common Mistake:
Verbal agreements without documentation. When things get hard (and they will), you need written alignment.
Pre-Launch (4-6 weeks before):
Launch Week:
Post-Launch (Weeks 2-8):
Common Mistake:
Treating launch as finish line. Real work starts after launch — adoption, support, iteration.
Is this capability core to our product differentiation?
├─ Yes → Build it yourself
└─ No → Continue...
│
Would building this delay our roadmap by >6 months?
├─ Yes → Partner
└─ No → Continue...
│
Is there a credible partner who needs us too?
├─ Yes → Partner
└─ No → Build
Does partner have engineering resources to self-serve?
├─ Yes → Start at Tier 1, evaluate for Tier 2 after 6 months
└─ No → Continue...
│
Is this a marquee logo that shifts our positioning?
├─ Yes → Tier 3 (Strategic)
└─ No → Tier 2 (Joint Development)
Did Crawl phase meet success criteria?
├─ No → End partnership, learn from failure
└─ Yes → Continue...
│
Did Walk phase meet success criteria?
├─ No → End partnership or restart Crawl with changes
└─ Yes → Move to Run phase
Treating partnerships as sales channel, not platform expansion
Launching without clear integration pathways
Expecting partners to self-promote
Creating too many tiers
Ghosting after launch
Pursuing partnerships for vanity
No clear exit criteria
Before starting any partnership:
Before launching any partnership:
Partnership leverage hierarchy:
Go/no-go criteria:
Based on partnerships work across multiple platform companies during hypergrowth, including running a developer marketplace ecosystem (open vs curated decision) and leveraging cloud provider certification requirements for channel growth. Not theory — patterns from partnerships that actually drove revenue and platform adoption.
Make data-driven prioritization decisions faster
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Prerequisites
Time Estimate
30-60 minutes to see productivity improvements
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid when
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
github/awesome-copilot
github/awesome-copilot
mattpocock/skills
parcadei/continuous-claude-v3
cursor/plugins
ailabs-393/ai-labs-claude-skills
gtm-partnership-architecture reduced setup friction for our internal harness; good balance of opinion and flexibility.
gtm-partnership-architecture reduced setup friction for our internal harness; good balance of opinion and flexibility.
gtm-partnership-architecture has been reliable in day-to-day use. Documentation quality is above average for community skills.
I recommend gtm-partnership-architecture for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
I recommend gtm-partnership-architecture for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
gtm-partnership-architecture fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
We added gtm-partnership-architecture from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
Useful defaults in gtm-partnership-architecture — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
Useful defaults in gtm-partnership-architecture — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
gtm-partnership-architecture is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
showing 1-10 of 30