Build and scale developer-led adoption through ecosystem programs, community, and partnerships. Focus on what actually drives adoption, not vanity metrics.
Works with
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versiongtm-developer-ecosystemExecute the skills CLI command in your project's root directory to begin installation:
Fetches gtm-developer-ecosystem 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-developer-ecosystem. Access via /gtm-developer-ecosystem 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
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Build and scale developer-led adoption through ecosystem programs, community, and partnerships. Focus on what actually drives adoption, not vanity metrics.
Triggers:
Context:
The Pattern:
Running ecosystem at a developer platform. Leadership debate: Open the marketplace to anyone, or curate for quality?
Quality control camp: "We need gatekeeping. Otherwise we'll get SEO spam, low-quality integrations, brand damage."
Open 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 and trust layers, not submission gatekeeping.
What We Built Instead of Gatekeeping:
Result: Network effects won. Thousands of integrations published. Quality surfaced through usage, not through us deciding upfront.
Decision Framework:
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 Pattern:
Most developer programs optimize for quick wins. Better approach: Build long-term talent pipeline.
Year 1: University Partnerships
Year 2: Student Community & Certification
Year 3: Career Bridge
Why This Works:
Students become enterprise buyers 5-10 years later. You're building brand loyalty before they have purchasing power.
Common Mistake:
Treating students as immediate revenue. They're not. They're future enterprise decision-makers.
Stage 1: Awareness
Stage 2: Onboarding
Stage 3: Integration
Stage 4: Production
Stage 5: Advocacy
Metrics That Matter:
Common Mistake:
Measuring vanity metrics (sign-ups, downloads) instead of real engagement (API calls, production deployments).
Tier 1: Quick Starts (Get to Value Fast)
Tier 2: Guides (Solve Real Problems)
Tier 3: Reference (Complete API Docs)
Tier 4: Conceptual (Understand the System)
Most developers need: Tier 1 first, then Tier 2. Very few read Tier 4.
Common Mistake:
Starting with Tier 3 (comprehensive API reference). Developers want quick wins first.
Community (Async, Scalable):
Support (Sync, Expensive):
How to Route:
Community first:
Escalate to support when:
Common Mistake:
Providing white-glove support to everyone. Doesn't scale. Build community that helps itself.
Tier 1: Integration Partners (Self-Serve)
Tier 2: Strategic Partners (Co-Development)
Don't over-tier. 2 tiers is enough. More creates confusion.
Is brand damage risk high if low-quality partners join?
├─ Yes (regulated, security) → Curated
└─ No → Continue...
│
Can you scale human review?
├─ No (hundreds/thousands) → Open + discovery systems
└─ Yes (dozens) → Curated
Is this a common question?
├─ Yes → Community (forum, Slack, docs)
└─ No → Continue...
│
Is requester paying customer?
├─ Yes → Support (email, dedicated)
└─ No → Community (with escalation path)
1. Building ecosystem before product-market fit
2. No developer success team
3. Poor documentation
4. Treating all developers equally
5. No integration quality standards
6. Measuring only vanity metrics
7. Developer advocates with no technical depth
Open ecosystem checklist:
Developer journey metrics:
Documentation hierarchy:
Partner tiers:
Student program timeline:
Based on building developer ecosystems at multiple platform companies, including the open vs curated marketplace decision, student program development (3-year arc building talent pipeline), and partner ecosystem growth. Not theory — patterns from building developer ecosystems that actually drove platform adoption and multi-year brand loyalty.
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-developer-ecosystem reduced setup friction for our internal harness; good balance of opinion and flexibility.
Registry listing for gtm-developer-ecosystem matched our evaluation — installs cleanly and behaves as described in the markdown.
Useful defaults in gtm-developer-ecosystem — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
gtm-developer-ecosystem fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
gtm-developer-ecosystem is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Solid pick for teams standardizing on skills: gtm-developer-ecosystem is focused, and the summary matches what you get after install.
gtm-developer-ecosystem fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
We added gtm-developer-ecosystem from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
Useful defaults in gtm-developer-ecosystem — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
gtm-developer-ecosystem is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
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